SYSTEMATIC REVIEW article

Front. Vet. Sci., 17 January 2023

Sec. Veterinary Infectious Diseases

Volume 9 - 2022 | https://doi.org/10.3389/fvets.2022.1086180

Prevalence of bovine viral diarrhea virus in cattle between 2010 and 2021: A global systematic review and meta-analysis

  • 1. College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China

  • 2. College of Animal Science and Technology, Jilin Agricultural University, Changchun, China

  • 3. Laboratory of Production and Product Application of Sika Deer of Jilin Province, Jilin Agricultural University, Changchun, China

  • 4. Key Laboratory of Animal Production, Product Quality and Security, Ministry of Education, Jilin Agricultural University, Changchun, China

Abstract

Background:

Bovine viral diarrhea is one of the diseases that cause huge economic losses in animal husbandry. Many countries or regions have successively introduced eradication plans, but BVDV still has a high prevalence in the world. This meta-analysis aims to investigate the prevalence and risk factors of BVDV in the world in recent 10 years, and is expected to provide some reference and theoretical basis for BVDV control plans in different regions.

Method:

Relevant articles published from 2010 to 2021 were mainly retrieved from NCBI, ScienceDirect, Chongqing VIP, Chinese web of knowledge (CNKI), web of science and Wanfang databases.

Results:

128 data were used to analyze the prevalence of BVDV from 2010 to 2021. BVDV antigen prevalence rate is 15.74% (95% CI: 11.35–20.68), antibody prevalence rate is 42.77% (95% CI: 37.01–48.63). In the two databases of antigen and antibody, regions, sampling time, samples, detection methods, species, health status, age, sex, breeding mode, and seasonal subgroups were discussed and analyzed, respectively. In the antigen database, the prevalence of dairy cows in the breed subgroup, ELISA in the detection method subgroup, ear tissue in the sample subgroup, and extensive breeding in the breeding mode were the lowest, with significant differences. In the antibody database, the prevalence rate of dairy cows in the breed subgroup and intensive farming was the highest, with a significant difference. The subgroups in the remaining two databases were not significantly different.

Conclusion:

This meta-analysis determined the prevalence of BVDV in global cattle herds from 2010 to 2021. The prevalence of BVDV varies from region to region, and the situation is still not optimistic. In daily feeding, we should pay attention to the rigorous and comprehensive management to minimize the spread of virus. The government should enforce BVDV prevention and control, implement control or eradication policies according to local conditions, and adjust the policies in time.

1. Introduction

Bovine viral diarrhea virus (BVDV) is the main pathogen of bovine viral diarrhea BVD (1, 2), and it is the main member of flaviviridae and pestivirus genus, which consists of three species: pestivirus A (BVDV-1), pestivirus B (BVDV-2) and pestivirus H (bovine viral diarrhea virus type 3 [Hobi-like pestiviruses)] (WOAH). BVDV-1 contains at least 22 subgenotypes of 1a-1v and BVDV-2 and HoBi-like pestivirus are divided into 4 subtypes (3). Multiple species and genotypes lead to the mutation of BVDV, which brings great obstacles to its prevention and control. BVDV contains two biotypes, and BVDV can be divided into cytopathic type (CP) and non-cytopathic type (NCP) according to whether it causes pathological changes in cultured tissue cells (4). NCP BVDV can infect cows early in embryonic development and produce persistently infected (PI) calves. PI makes it more difficult to control BVDV. It is the main source of infection of BVDV, because it is immune tolerant to infected strains, does not produce antibodies, and is always infected and continuously detoxifies (5). In contrast, the risk of transient infection (TI) transmission is weaker, producing only mild clinical symptoms to the host and expelling the virus into the environment for a short period of time. However, TI damage to the immune system can exacerbate the occurrence of secondary infections, so it remains an important component of BVDV infection (6).

BVDV is widespread in the world and can cause gastrointestinal, respiratory and reproductive diseases. The induced immunosuppression can increase the probability of infection of other diseases (7). BVDV reduces the breeding and growth efficiency of livestock through various ways, increases the mortality rate of young animals and the prevalence rate of reproductive system, respiratory system and gastrointestinal diseases, and causes continuous and serious economic losses to the animal husbandry (8). BVDV can infect cattle, goats, sheep, camels, pigs and other cloven-hoofed animals (911). Among them, cattle are the main infection host and source of BVDV, and are most affected by diseases (12). As a major economic animal, cattle are closely related to people's life. According to the survey, the economic impact of BVD ranges from £0 to £552 per cow per year, with a mean impact of £46.50 (13). At the same time, BVDV's pollution to bovine-derived substances further endangers the accuracy of scientific research and the safety of biological products such as vaccines (14). The growing demand for beef and dairy products reminds people to focus on the health of primitive animals and avoid possible economic losses (15). Therefore, it is very important to investigate and control the prevalence of BVDV infection in cattle species. ACVIM's consensus statement clarifies the importance of BVDV control (16). Many countries have also introduced measures to control and purify BVDV. Denmark introduced the BVD eradication plan as early as 1994 (17). Northern Ireland began implementing the BVD AHWNI eradication program in 2013 and the virus positivity declined significantly by 2020 (18). Germany's 6-year mandatory plan has seen a significant decline in the number of PI by 2016, and further removal of the virus is the next challenge (19). Switzerland has had a control program since 2008 and infection rates have dropped significantly by 2020, but PI animals remain the last strong obstacle (20). In 2016–2017, the Indonesian government tried to breed beef cattle by increasing artificial insemination, hoping to reduce the vertical transmission of BVDV (21).

According to the positive rate of BVDV in different species, many articles have been meta-analyzed. Knowing the prevalence of BVDV in time can not only provide data support for the formulation of BVDV prevention and control policies, but also provide technical guidance for practical production.

This paper makes a meta-analysis on the prevalence of BVDV infection among cattle in the world in recent 10 years. Through the summary of the latest data and the thinking caused by eradication plans in different regions, the following questions are addressed: “What should we do to control BVDV? How should the control plan be carried out under different circumstances?”. We hope to observe the effectiveness of current prevention and control measures and provide reference for further prevention and control of BVDV in the future.

2. Materials and methods

2.1. Search strategy

We searched six databases of PubMed, ScienceDirect, Web of Science, CNKI, VIP, and Wanfang, and find articles published in Chinese and English from 2010 to May 20, 2021. Designed to filter prevalence data for all BVDV, the specific search process is as follows:

PubMed search strategy is as follows: According to MeSH terminology, the following keywords were used to search: “Diarrhea Viruses, Bovine Viral,” “Cattle,” and the Boolean operators “OR,” “AND” in the “Keyword/Title/Summary” field alone or in combination.

A: We search for “Cattle” based on MeSH terminology: ((((((((((((((((((((“Cattle”[Mesh]) OR (Cow)) OR (Cows)) OR (Bos indicus)) OR (Zebu)) OR (Zebus)) OR (Holstein Cow)) OR (Cow, Holstein)) OR (Dairy Cow)) OR (Cow, Dairy)) OR (Dairy Cows)) OR (Beef Cow)) OR (Beef Cows)) OR (Cow, Beef)) OR (Bos grunniens)) OR (Yak)) OR (Yaks)) OR (Bos taurus)) OR (Cow, Domestic)) OR (Domestic Cow)) OR (Domestic Cows).

B: We search for “Diarrhea Viruses, Bovine Viral” based on MeSH terminology: (((((((((((“Diarrhea Viruses, Bovine Viral”[Mesh]) OR (Bovine Viral Diarrhea Viruses)) OR (Bovine Pestivirus)) OR (Bovine Pestiviruses)) OR (Pestiviruses, Bovine)) OR (Bovine Diarrhea Virus)) OR (Bovine Diarrhea Viruses)) OR (Diarrhea Virus, Bovine)) OR (Diarrhea Viruses, Bovine)) OR (Virus, Bovine Diarrhea)) OR (Viruses, Bovine Diarrhea)) OR (Diarrhea Virus, Bovine Viral).

C: We used the Boolean operators “OR” for the entry terms and “AND” for the MeSH terms. (((((((((((((((((((((“Cattle”[Mesh]) OR (Cow)) OR (Cows)) OR (Bos indicus)) OR (Zebu)) OR (Zebus)) OR (Holstein Cow)) OR (Cow, Holstein)) OR (Dairy Cow)) OR (Cow, Dairy)) OR (Dairy Cows)) OR (Beef Cow)) OR (Beef Cows)) OR (Cow, Beef)) OR (Bos grunniens)) OR (Yak)) OR (Yaks)) OR (Bos taurus)) OR (Cow, Domestic)) OR (Domestic Cow)) OR (Domestic Cows)) AND ((((((((((((“Diarrhea Viruses, Bovine Viral”[Mesh]) OR (Bovine Viral Diarrhea Viruses)) OR (Bovine Pestivirus)) OR (Bovine Pestiviruses)) OR (Pestiviruses, Bovine)) OR (Bovine Diarrhea Virus)) OR (Bovine Diarrhea Viruses)) OR (Diarrhea Virus, Bovine)) OR (Diarrhea Viruses, Bovine)) OR (Virus, Bovine Diarrhea)) OR (Viruses, Bovine Diarrhea)) OR (Diarrhea Virus, Bovine Viral)).

Use advanced search in ScienceDirect and Web of Science databases to improve the accuracy of your results, enter subject terms “cattle,” “Diarrhea Viruses, Bovine Viral,” “prevalence” and select research articles to search. The VIP database was searched for articles by selecting the subject headings “bovine” and “bovine viral diarrheal mucosal disease” or “bovine” and “bovine viral diarrhea virus.” Wanfang and CNKI search strategies are: The theme words “bovine” and “bovine viral diarrhea mucosal disease” or: “bovine” and “bovine viral diarrhea virus” or “bovine” and “BVDV” were selected.

In order to collect comprehensive data as much as possible, Google Academic will further search the related articles of the collected articles.

2.2. Inclusion criteria and exclusion criteria

Eligible articles are screened according to the inclusion exclusion criteria below.

Inclusion criteria:

  • (1) Study on the prevalence of BVDV infection;

  • (2) Literature between 2010 and 2021.5.20;

  • (3) The species is cattle and the source is clear;

  • (4) The type of article is experimental research article;

  • (5) Literature published in Chinese or English.

Exclusion criteria:

  • (1) Repetitive articles;

  • (2) Articles that cannot be downloaded;

  • (3) Study animals were vaccinated or model animals;

  • (4) Research data is not clear;

  • (5) Sample size <30.

2.3. Data extraction

Import the search database results into the EndNote (EndNote X 9.3.3) reference manager software (Clarivate analysis, Philadelphia, Pennsylvania, USA) for screening, delete duplicate articles, and then two reviewers further screen according to the article title and abstract. Obtain key data information from all relevant studies, including the first author, sampling year, country, mainland, sample type, detection method, variety, season, health status, age, gender and breeding mode. Microsoft ® Excel ® 2019 MSO (16.0.14228.20216) 32 is used to sort and compile the data mentioned above.

2.4. Quality assessment

The level of proposal evaluation, formulation and evaluation methods determines the quality of selected literature. The scoring standard includes the following four aspects, whether it is random sampling, sampling time, whether the sampling method is detailed, whether the detection method is detailed, and whether there are more than four factors. “Yes” is 1 point, and the maximum is 5 points. Based on the above standards, the article is divided into three grades 0–1, 2–3, 4–5, respectively.

2.5. Statistical analysis

Under the guidance of PRISMA 2020, the article strictly follows its requirements and completes the systematic evaluation and meta-analysis (Supplementary material 1).

R software 4.0.0 is used to compile and calculate data. Sensitivity analyses were performed in different possible ways for all included studies, and bias tests were done by looking at funnel graphs (22). Egger's test and trim and fill analysis further illustrate whether bias occurs (23). Bias is indicated when the funnel chart is asymmetrical or when the Egger test p < 0.05. Q- test (X2 and p representation) was used to evaluate the heterogeneity among the studies, and the forest map was used for visual analysis. The degree of heterogeneity was further evaluated by I2 (24). The higher the I2, the greater the heterogeneity. The code in R for meta-analysis is in Supplementary material 2. Factors investigated in the subgroup analysis included sampling year (before 2017, after 2017), season, health status (healthy, clinically symptomatic), age (<6 months, >6 months), country, region, test method, sample origin, breed (beef cattle, dairy cows, dairy meat dual-use, breeding cattle), sex, breeding pattern (intensive, extensive).

3. Results

3.1. Flow chart and results of literature screening

A total of 5,549 eligible articles were obtained. Seven hundred four duplicate articles were deleted, and 4,500 articles were further screened according to the title, abstract, and Year of publication. Further screening according to the inclusion and exclusion criteria, 15 articles on vaccination were deleted, 2 sample sources were unclear, 10 article data were unclear, 20 data errors were used, 2 articles were used the same data, 4 non-epidemiological investigative articles, 134 non-sampling years, 17 articles with a sample size of <30, 32 articles that could not be queried, and a total of 109 articles were included. Nineteen articles were added to Google Academic, including 128 articles in total. The specific flow chart is shown in Figure 1.

Figure 1

3.2. Studies included

Through literature screening, 128 studies were eligible for the meta-analysis. Among them, there were 77 articles on detecting antibodies and 51 articles on detecting antigens. Studies were identified from 19 countries worldwide, including 10 countries in Asia, two in North America, two in South America, two in Europe and three in Africa (Supplementary Figure 1).

There are a total of 51 antigen detection articles, including 27 articles of 4–5 points and 24 articles of 2–3 points (Table 1). A total of 46,211 cattle were tested, and 3,488 BVDV-positive cattle were tested, with a positive infection rate of 15.74% (95% CI: 11.35–20.68 3,488/46,211, Table 2). Among the regional subgroups, Europe had the highest positive rate with a positive rate of 23.27% (95% CI: 0.00–89.41, Table 2), followed by the Asia positivity rate of 16.75% (95% CI: 11.27–23.04, Table 2), The lowest is 0.32% (95% CI: 0.20–0.46, Table 2) in North America. Spain (59.40%, 95% CI: 50.91–67.62, Supplementary Table 1) has the highest antigen-positive rate among all countries and India has the lowest positive rate. The positivity rate after 2017 was higher than before 2017. The positive rate of ear tissue in the test samples was the lowest, with a positive rate of 0.48% (95% CI: 0.05–1.20, Table 2), which was significantly different. Diary cows had the lowest positive rate of infection, with a positive rate of 11.43% (95% CI: 6.61–17.32, Table 2), which was significantly different. In the health condition subgroup, the rate of BVDV infection with clinical symptoms was higher than that of clinically healthy cattle. Summer infection rate was lowest, with a positive rate of 4.17% (95% CI: 0.12–12.59, Table 2), Spring positivity rate was highest at 21.33% (95% CI: 0.82–57.99, Table 2). ELISA had the lowest positive rate among the test methods, with a positive rate of 6.94% (95% CI: 2.12–14.16, Table 2), which was significantly different. The positive rate in adult cattle is higher than that in calves. Extensive culture mode had the lowest rate of infection, with a positive rate of 1.11% (95% CI: 0.00–5.86, Table 2), which was significantly different.

Table 1

Reference IDCountrySampling timeDetection methodNo. testedNo. positivePrevalenceStudy designScore*
Asia
Xu et al. (25)China2018–2019PCR*232260.112068966Cross sectional3
Deng et al. (26)China2017PCR901200.022197558Cross sectional3
Guo et al. (27)China2018.3–2019.5PCR3021350.447019868Cross sectional3
Chang et al. (28)China2019PCR1,234890.072123177Cross sectional3
Zhang et al. (29)China2017–2018PCR5351850.345794393Cross sectional4
Long (30)China2017, 2018PCR76210.276315789Cross sectional4
Wang et al. (31)China2011.09-2012.03ELISA*1,434230.016039052Cross sectional5
Lee et al. (32)Korea2014.07–2016.06PCR207140.067632850Cross sectional3
Li (33)China2018.2.24–2019.2.27ELISA305170.055737705Cross sectional4
Wang (34)China2015.7–2016.11Colloidal gold232350.150862069Cross sectional4
Wang et al. (35)China2015.6–7PCR8160.074074074Cross sectional3
Chen et al. (36)China2016PCR149290.194630872Cross sectional3
Li (37)China2017–2019PCR109870.798165138Cross sectional4
Yan et al. (38)China2017PCR138620.449275362Cross sectional4
Yang et al. (38)China2017PCR74280.378378378Cross sectional5
Sun and Qin (39)China2017–2018ELISA114280.245614035Cross sectional4
Han et al. (40)Korea2016PCR143870.608391608Cross sectional4
Ryu and Choi (41)Korean2017.3–2018.10PCR635350.055118110Cross sectional5
Kim et al. (42)Korean2013ELISA3,050210.006885246Cross sectional4
Zhang (43)China2014.1–2016.1PCR173240.138728324Cross sectional3
Luo et al. (44)China2014.3–2014.12PCR248280.112903226Cross sectional3
Quan and Liu (45)China2012.3–2013.6PCR184270.146739130Cross sectional3
Lv and Zhang (46)China2013.1–4PCR252580.230158730Cross sectional3
Liu et al. (47)China2016ELISA3463170.916184971Cross sectional5
Kaveh et al. (48)Iran2015.7–12PCR128260.203125000Cross sectional3
Wang et al. (49)China2017ELISA1,160140.012100000Cross sectional4
Wang (50)China2019PCR200350.175000000Cross sectional4
Li et al. (51)China2011–2012Bio-X detection kit80710.888000000Cross sectional3
Agah et al. (52)Japan2015.12–2016.9ELISA1,07520.001860465Cross sectional4
Zhang et al. (53)China2018.7PCR1,28640.003110420Cross sectional4
Yao et al. (54)China2016–2017PCR145190.131034483Cross sectional3
Song et al. (55)China2016–2017PCR3821010.264397906Cross sectional3
Wang and Man (56)China2017, 2018, 2019PCR6901140.165217391Cross sectional3
Wei et al. (57)China2019PCR6402560.400000000Cross sectional3
Dehkordi (58)Iran2010PCR9922030.204637097Cross sectional3
Lv et al. (58)China2011.5–2011.9ELISA46420.004310345Cross sectional5
Weng (59)China2010–2013PCR4,327180.004159926Cross sectional3
Zhang et al. (60)China2014.11ELISA920340.036956522Cross sectional5
Mishra et al. (61)India2012–2013PCR1,04910.000953289Cross sectional5
Gangil et al. (62)India2016.9–2018.3ELISA5500Cross sectional3
Alam et al. (63)Bangladesh2015.1–2015.12UN*644210.032608696Cross sectional2
Yitagesu et al. (64)Bangladesh2018.9–2019.10ELISA88200Cross sectional5
Asmare et al. (65)Bangladesh2012ELISA5631850.328596803Cross sectional4
Europe
Fernández-Aguilar et al. (66)Spain2010, 2011, 2012PCR133790.593984962Cross sectional3
Decaro et al. (67)Italy2015–2016PCR1,005170.016915423Cross sectional3
South America
Caffarena et al. (68)Uruguay2016.1–11PCR48060.012500000Cross sectional4
Maya et al. (69)Uruguay2015.3–2017.12PCR2546230.009033778Cross sectional3
Paixão et al. (70)Brazil2014.08–2014.12VN*3051100.360655738Cross sectional4
Viana et al. (71)Brazil2013.3–5VN4001570.392500000Cross sectional4
Freitas et al. (72)Brazil2015.5–2018.8ELISA64651150.017788090Cross sectional4
North America
Stephenson et al. (73)United States2005.3–12IHC7,544240.003181336Cross sectional5

Included studies of Bovine viral diarrhea virus infection of cattle in the word.

UN*, Unclear; PCR*, Polymerase chain reaction; ELISA*, Enzyme linked immunosorbent assay; VN*, Virus neutralization; Score*, quality assessment.

Table 2

No. studiesNo. testedNo. positive% (95% CI*)HeterogeneityUnivariate meta-regression
χ2P-valueI2 (%)P-valueCoefficient (95% CI)
Area*
   Asia4327,3332,95716.75% (11.27–23.04)7,017.610.0099.4%0.34630.0839 (−0.0907–0.2585)
   Europe21,1389623.27% (0.00–89.41)263.03<0.0199.6%
   North America17,544240.32% (0.20–0.46)0.00
   South America510,19641110.55% (2.63–22.82)778.30<0.0199.5%
Sampling years
   Before 20173026,6081,62517.18% (11.08–24.27)5,317.360.0099.5%
   After 2017219,5131,15617.91% (10.33–26.99)2,204.720.0099.1%0.89940.0088 (−0.1281–0.1457)
Sample
   Blood sample2417,0651,64417.15% (9.50–26.47)4,850.390.0099.5%
   Fecal sample153,56875120.89% (12.97–30.08)529.49<0.0197.4%
   Ear tissue720,1591840.48% (0.05–1.20)120.65<0.0195.0%<0.0001−0.3602 (−0.5326– −0.1878)
   Others91,68941317.40% (8.16–28.99)163.55<0.0195.1%
Breed
   Diary1815,81984411.43% (6.61–17.32)1,626.270.0099.0%0.0213−0.1835 (−0.3397– −0.0273)
   Beef82,67968823.60% (3.74–53.08)1,681.940.0099.6%
   Both dairy and beef91,38639127.50% (15.68–41.14)218.56<0.0196.3%
Health condition
   Clinical symptoms2512,5571,32622.56% (13.69–32.86)3,032.630.0099.2%
   Healthy113,75858213.72% (5.15–25.46)825.77<0.0198.8%0.2559−0.1156 (−0.3150– 0.0838)
Season*
   Spring295020021.33% (0.82–57.99)142.88<0.0199.3%
   Summer41,854464.17% (0.12–12.59)87.13<0.0196.6%0.2166−0.1454 (−0.3759– 0.0852)
   Autumn32,0312438.64% (0.71–23.60)149.23<0.0198.7%
   Winter376712310.41% (0.00–37.25)162.78<0.0198.8%
Detection method*
   PCR3219,6761,86016.97% (11.23–23.60)3,972.000.0099.2%
   ELISA1316,8337586.94% (2.12–14.16)2,499.080.0099.5%0.0164−0.1797 (−0.3265– −0.0329)
   VN270526737.87% (34.31–41.48)0.740.390.0%
   Others37,85613027.82% (0.00–78.56)531.22<0.0199.6%
Age
   Calf1511,55256515.03% (6.56–26.09)1,518.17<0.0199.1%
   Adult cattle61,68931823.42% (5.93–47.09)358.91<0.0198.6%0.31760.1250 (−0.1202–0.3702)
Breeding mode
   Intensive2829,7501,91215.07% (9.37–21.82)5,841.320.0099.5%
   Extensive31,981371.11% (0.00–5.86)74.53<0.0197.3%0.0255−0.2901 (−0.5447– −0.0356)
   Mixed culture58,94514414.81% (4.01–30.62)448.57<0.0199.1%
Total5146,2113,48815.74% (11.35–20.68)9,132.890.0099.5%

Antigen prevalence of Bovine viral diarrhea virus of cattle in the word.

CI*: Confidence interval.

Area*: Africa: Egypt, Ethiopia, Morocco; Asia: China, India; Europe: Italy, Spain, Portugal, France, Poland; North America: USA; Oceania: Australia; South America: Brazilian.

Method*: ELISA: Enzyme-linked immunosorbent assay; PCR: Polymerase chain reaction; VN: virus neutralization.

Season*: Spring: Mar. to May.;Summer: Jun. to Aug.;Autumn: Sep. to Nov.;Winter: Dec. to Feb.

A total of 77 articles were published on the detection of BVDV antibodies, including 43 articles with 4–5 points and 34 articles with 2–3 points (Table 3). A total of 55,349 samples were tested, of which 24,585 were positive, and the positive rate was 42.77% (95% CI: 37.01–48.63, Table 4). South America had the highest prevalence in the regional subgroup, with a positivity rate of 76.4% (95% CI: 72.06–80.50, Table 4, Supplementary Table 2) followed by North America, Africa, Europe, and Asia. Infection rates have decreased after 2017 compared to before 2017. Dairy cattle had the highest prevalence rate, with a positive rate of 48.68% (95% CI: 39.19–58.22, Table 4), which was significantly different. In the health condition subgroup, the infection rate of clinically healthy cattle was relatively low, with a positive rate of 43.80% (95% CI: 26.57–61.83, Table 4). The positive rate is relatively high in summer 60.16% (95% CI: 48.92–70.89, Table 4) and winter 63.44% (95% CI: 35.15–87.45, Table 4). The positive rate for cows is lower than that of bulls, and the positive rate of calves is lower than that of adult cattle. Intensive has the highest prevalence of all culture models, with a positive rate of 50.35% (95% CI: 42.93–57.76, Table 4).

Table 3

Reference IDCountrySampling timeDetection methodNo. testedNo. positivePrevalenceStudy designScore*
Africa
Demil et al. (74)Ethiopia2017.12–2018.7ELISA339910.268436578Cross sectional5
Guidoum et al. (75)Algeria2018.6–2019.8ELISA2341380.589743590Cross sectional5
Berg et al. (76)Botswana2014.10–2015.3ELISA3641950.535714286Cross sectional4
Asia
Wang (77)China2011.6–2011.10Neutralization350319790.564944333Cross sectional3
Sha et al. (78)China2010–2012ELISA8421780.211401425Cross sectional3
Lin (79)China2014ELISA7414910.662618084Cross sectional4
Huang (80)China2015ELISA6672280.341829085Cross sectional3
Chen et al. (81)China2016.5–2016.12ELISA190880.463157895Cross sectional3
Wang (82)China2016ELISA7867490.952926209Cross sectional3
Lu et al. (83)China2017.4–5ELISA150740.493333333Cross sectional3
Sun et al. (84)China2016, 2017ELISA9001290.143333333Cross sectional3
Zhao et al. (85)China2018ELISA2101650.785714286Cross sectional3
Bi et al. (86)China2019.03–2020.02ELISA16019690.605246721Cross sectional4
Fu et al. (87)China2010-2011ELISA16507950.481818182Cross sectional3
Liu (88)China2011–2014ELISA5223330.637931034Cross sectional3
Liu (89)China2016.3–12ELISA5592020.361359571Cross sectional3
Cheng et al. (90)China2014–2016ELISA9204480.486956522Cross sectional3
Luo et al. (91)China2017.09–11ELISA8971790.199554069Cross sectional3
Zhu (92)China2017.03–12ELISA5592020.361359571Cross sectional3
Yan et al. (93)China2014–2015UN4001460.365000000Cross sectional2
Wang et al. (94)China2015.06–08ELISA1911240.649214660Cross sectional3
Zhao (95)China2014.09–2015.12ELISA3262940.902840491Cross sectional3
Cao et al. (96)China2014.04–2015.07ELISA86170.197674419Cross sectional4
Liu et al. (97)China2011ELISA5493430.624772313Cross sectional4
Li et al. (98)China2012.06–12ELISA6654720.709774436Cross sectional4
Olmo et al. (99)Laos2016–2018ELISA520300.057692308Cross sectional3
Noaman and Nabinejad (100)Iran2017.6–8ELISA2161140.527777778Cross sectional5
Li et al. (101)China2012–2014ELISA5162670.517441860Cross sectional5
Wang et al. (102)China2019–2020ELISA456750.164473684Cross sectional4
Zhu (92)China2018.12–2019.3ELISA235819580.830364716Cross sectional3
Kumar et al. (103)India2014.9–2016.9ELISA500660.132000000Cross sectional3
Zhong et al. (104)China2016ELISA6041130.187086093Cross sectional3
Chen et al. (105)China2014–2015ELISA13324520.339339339Cross sectional3
Liu and Sun (106)China2012ELISA192390.203125000Cross sectional3
Dong et al. (107)China2012ELISA4922440.495934959Cross sectional3
He et al. (108)China2012.9–2012.12ELISA10704740.442990654Cross sectional3
Shang et al. (109)China2010–2012ELISA11982820.235392321Cross sectional3
Han et al. (110)China2010.3–5ELISA252540.214285714Cross sectional4
Ma et al. (111)China2013.4–2014.3ELISA15845950.375631313Cross sectional3
Zhang et al. (112)China2012.01–2012.12ELISA4602370.515217391Cross sectional5
Liu et al. (113)China2016–2017ELISA5972960.495812395Cross sectional5
Luo (114)China2012–2016ELISA9204480.486956522Cross sectional4
Qu et al. (115)China2014.08–09ELISA163710130.618814905Cross sectional3
Xie et al. (116)China2014ELISA3853740.971428571Cross sectional5
Chen (117)China2016ELISA204650.318627451Cross sectional4
Chen et al. (118)China2014.08–2015.02ELISA2381630.684873950Cross sectional5
Hu and Gu (119)China2015.09–2015.12ELISA9174500.490730643Cross sectional4
Cheng et al. (120)China2015.01–2015.06ELISA4202210.526190476Cross sectional4
Uddin et al. (121)Bangladesh2013.07–2014.04ELISA94480.510638298Cross sectional5
Liu et al. (122)China2017.11–2018.4ELISA3252430.747700000Cross sectional4
Li et al. (123)China2019ELISA440340.077272727Cross sectional5
Zhao (124)China2017.5–2018.10ELISA3891790.460154242Cross sectional4
Liu (125)China2018.12–2019.12ELISA144612440.860304288Cross sectional5
Liu et al. (125)China2017.11–2018.5ELISA7925180.654040404Cross sectional4
Shen et al. (126)China2010.5ELISA571430.075306480Cross sectional3
Erfani et al. (127)Iran2011.12ELISA5621610.286000000Cross sectional5
Gan et al. (128)China2019.04–06ELISA455360.079120879Cross sectional3
Kang et al. (129)China2012.5–2012.6ELISA546140.025641026Cross sectional4
Lei et al. (130)China2011.11ELISA1881700.904255319Cross sectional4
Zhang et al. (131)China2012.11ELISA4602920.634782609Cross sectional4
Yuan et al. (132)China2012.6–2013.8ELISA2441440.590163934Cross sectional5
Liu (133)China2013ELISA5662470.436395760Cross sectional5
Yue et al. (134)China2013.7–2014.1ELISA2661020.383458647Cross sectional4
Yao (135)China2013–2014ELISA7935870.740226986Cross sectional5
Akagami et al. (136)Japan2014.4–2017.5ELISA901623780.263753327Cross sectional4
Singh et al. (137)India2013.10–2016.3ELISA466710.152360515Cross sectional5
Katoch et al. (138)India2013–2015ELISA13220.015151515Cross sectional5
Chowdhury et al. (139)Bangladesh2013.7–2014.4UN94480.510638298Cross sectional3
Asnake et al. (140)Bangladesh2019.10–2020.4ELISA225190.084444444Cross sectional5
Tadesse et al. (141)Bangladesh2016.1–2017.1ELISA4202170.516666667Cross sectional4
Daves et al. (142)Malaysia2014.11–2015.1ELISA4071350.331695332Cross sectional5
Manandhar et al. (143)Nepal2013.11–2014.4ELISA35090.025714286Cross sectional4
Olmo et al. (144)Laos2013–2016ELISA151120.079470199Cross sectional4
Nugroho et al. (21)Indonesia2017.3–7ELISA7790.116883117Cross sectional3
Europe
Rodríguez-Prieto et al. (145)Spain2008.9–2009.1ELISA180820.455555556Cross sectional3
North America
Segura-Correa et al. (146)Mexico2010.5–2011.12ELISA3851840.477922078Cross sectional5
South America
Maya et al. (69)Uruguay2014ELISA3902980.764102564Cross sectional3

Included studies of Bovine viral diarrhea virus infection of cattle in the word.

UN*: Unclear.

ELISA*: Enzyme linked immunosorbent assay (OIE).

Score*: Quality assessment (147).

Table 4

No. studiesNo. testedNo. positive% (95% CI*)HeterogeneityUnivariate meta-regression
χ2P-valueI2 (%)P-valueCoefficient (95% CI)
Area
Asia7153,45723,59742.03% (35.99–48.18)14,291.550.0099.5%0.3912−0.0960 (−0.3156– 0.1235)
Europe11808245.56% (38.32–52.88)0.00
North America138518447.79% (42.81–52.79)0.00
South America139029876.41% (72.06–80.50)0.00
Africa393742446.13% (26.82–66.06)78.06<0.0197.4%
Sampling years
Before 20175533,17715,34543.63% (37.25–50.13)7,708.030.0099.3%0.72580.0251 (−0.1152– 0.1654)
After 20171911,6196,31941.11% (27.05–55.95)4,555.970.0099.6%
Breed
Dairy3628,13012,89448.68% (39.19–58.22)8,329.860.0099.6%0.04860.1329 (0.0008–0.2651)
Beef113,1761,02029.46% (20.88–38.82)266.77<0.0196.3%
Both milk and meat168,4233,36639.84% (30.54–49.53)1,219.37<0.0198.8%
Health condition
Clinical Symptoms113,8892,26658.66% (46.87–69.97)452.44<0.0197.8%0.18420.1460 (−0.0695– 0.3615)
Healthy86,4493,77943.80% (26.57–61.83)1,115.90<0.0199.4%
Season
Spring62,3351,10346.70% (17.91–76.74)1,165.27<0.0199.6%
Summer63,1651,92660.16% (48.92–70.89)170.19<0.0197.1%
Autumn52,14082442.25% (18.14–68.51)575.80<0.0199.3%0.3256−0.1417 (−0.4243– 0.1408)
Winter51,83699563.44% (35.15–87.45)605.47<0.0199.3%
Gender
Female104,1341,30427.26% (19.11–36.24)338.65<0.0197.3%
Male101,04031328.90% (17.71–41.45)115.55<0.0192.2%0.79220.0201 (−0.1296–0.1698)
Age
Calf184,8832,30738.25% (30.25–46.58)422.11<0.0196.0%
Adult cattle3127,63612,88948.82% (38.85–58.83)7,625.490.0099.6%0.16770.1128 (−0.0475– 0.2731)
Breeding mode
Intensive5539,10418,85750.35% (42.93–57.76)11,248.830.0099.5%0.00670.2208 (0.0613–0.3803)
Extensive113,5301,09323.58% (11.86–37.78)762.24<0.0198.7%
Mixed culture455326144.75% (25.81–64.49)60.59<0.0195.0%
Detection method*
ELISA7451,35222,41242.56% (36.51–48.71)14,306.050.0099.5%0.6068−0.1396 (−0.6713– 0.3921)
Neutralization13,5031,97956.49% (54.85–58.13)0.00
Total7755,34924,58542.77% (37.01–48.63)14,553.300.0099.5%

Antibody prevalence of Bovine viral diarrhea virus of cattle in the word.

CI*: Confidence interval.

Area*: Africa: Egypt, Ethiopia, Morocco; Asia: China, India; Europe: Italy, Spain, Portugal, France, Poland; North America: USA; Oceania: Australia; South America: Brazilian (147).

Method*: ELISA: Enzyme linked immunosorbent assay (OIE).

3.3. Meta-analysis based on detected antigen

In antigen detection, a total of 46,211 cattle were tested, and 3,488 BVDV-positive cattle were tested, with a positive infection rate of 15.74% (95% CI: 11.35–20.68, Figure 2). PFT conversion rate and random effect model (χ2 = 0.0566, I2 = 99%, P = 0.00) were used (Table 5). The egger test result is t = 6.5574, p = 6.975e−08 (Supplementary Table 3, Figure 3). The funnel diagram shows that there is bias (Figure 4). The trim and fill analysis are used to correct the bias, a total of 22 articles were corrected, and the adjusted prevalence rate was 2.01% (95% CI:0.40–4.64). The results of sensitivity analysis show that the results of meta-analysis are reliable (Table 6).

Figure 2

Table 5

Conversion formWP
PRAW0.817621.901e-06
PLNNaNNA
PLOGITNaNNA
PAS0.923420.002811
PFT0.917850.001755

Normal distribution test for the normal rate and the different conversion of the normal rate.

PRAW, original rate; PLN, logarithmic conversion; PLOGIT, logit transformation; PAS, arcsine transformation; PFT, double-arcsine transformation; NaN, meaningless number; NA, missing data.

Figure 3

Figure 4

Table 6

Reference ID% (95% CI)
Omitting Dehkordi (58)15.65% (11.25–20.61)
Omitting Wang et al. (31)16.16% (11.62–21.29)
Omitting Li et al. (98)14.61% (10.41–19.38)
Omitting Lv et al. (148)16.24% (11.73–21.31)
Omitting Mishran et al. (61)16.30% (11.77–21.39)
Omitting Quan and Liu (45)15.76% (11.33–20.76)
Omitting Lv and Zhang (46)15.60% (1120–20.57)
Omitting Luo et al. (44)15.83% (11.39–20.85)
Omitting Weng (59)16.26% (11.64–21.48)
Omitting Zhang et al. (60)16.06% (11.55–21.15)
Omitting Alam et al. (63)16.08% (11.57–21.15)
Omitting Zhang (43)15.78% (11.34–20.78)
Omitting Fernández–Aguilar et al. (66)15.07% (10.78–19.92)
Omitting Kaveh et al. (48)15.65% (11.24–20.63)
Omitting Wang (34)15.75% (11.32–20.75)
Omitting Wang et al. (35)15.92% (11.47–20.94)
Omitting Liu et al. (47)14.45% (10.54–18.85)
Omitting Viana et al. (71)15.34% (11.02–20.21)
Omitting Decaro et al. (67)16.16% (11.63–21.25)
Omitting Stephenson et al. (73)16.28% (11.62–21.55)
Omitting Asmare et al. (65)15.44% (11.10–20.32)
Omitting Chen et al. (36)15.67% (11.25–20.65)
Omitting Han et al. (110)15.04% (10.76–19.89)
Omitting Paixão et al. (70)15.39% (11.05–20.30)
Omitting Ryu and Choi (41)15.99% (11.50–21.06)
Omitting Kim et al. (42)16.23% (11.63–21.42)
Omitting Long (30)15.54% (11.15–20.50)
Omitting Lee et al. (32)15.95% (11.49–20.98)
Omitting Li (33)15.99% (11.51–21.03)
Omitting Li (37)14.76% (10.53–19.54)
Omitting Yan et al. (38)15.27% (10.93–20.17)
Omitting Yang et al. (38)15.39% (11.02–20.32)
Omitting Sun and Qin (39)15.58% (11.18–20.55)
Omitting Agah et al. (52)16.28% (11.76–21.37)
Omitting Zhang et al. (53)16.27% (11.73–21.37)
Omitting Yao et al. (54)15.79% (11.36–20.79)
Omitting Song et al. (55)15.54% (11.16–20.49)
Omitting Gangil et al. (62)16.22% (11.74–21.27)
Omitting Xu et al. (25)15.84% (11.39–20.85)
Omitting Deng et al. (26)16.13% (11.61–21.22)
Omitting Guo et al. (27)15.26% (10.96–20.12)
Omitting Maya et al. (69)16.21% (11.63–21.39)
Omitting Zhang et al. (29)15.41% (11.08–20.29)
Omitting Wang et al. (49)16.19% (11.65–21.29)
Omitting Wang (50)15.70% (11.28–20.69)
Omitting Wang and Man (56)15.72% (11.29–20.72)
Omitting Wei et al. (57)15.32% (11.05–20.14)
Omitting Yitagesu et al. (64)15.43% (11.19–20.20)
Omitting Caffarena et al. (68)16.18% (11.67–21.24)
Omitting Chang et al. (89)15.95% (11.44–21.04)
Omitting Freitas et al. (72)16.17% (11.41–21.57)

Sensitivity analysis (decetion antigen).

3.4. Meta-analysis based on detected antibody

In antibody detection, a total of 55,349 samples were tested, of which 24,585 were positive, and the positive rate was 42.77% (95% CI: 37.01–48.63, Figure 5). PFT conversion rate and random effect model(χ2 = 0.0664, I2 = 100%, P = 0.00, Table 7) were used. The egger test result is t = 0.68873, p = 0.4935 (Supplementary Table 4, Figure 6). The funnel diagram shows that there is bias (Figure 7). The data from the trim and fill analysis showed that no trimming performed, and the data unchanged, meaning there may be no significant publication bias. The results of sensitivity analysis show that the results of meta-analysis are reliable (Table 8).

Figure 5

Table 7

Conversion formWP
PRAW0.972160.0889
PLN0.852252.918e-07
PLOGIT0.977020.1767
PAS0.984130.4527
PFT0.984680.4835

Normal distribution test for the normal rate and the different conversion of the normal rate.

PRAW, original rate; PLN, logarithmic conversion; PLOGIT, logit transformation; PAS, arcsine transformation; PFT, double-arcsine transformation; NaN, meaningless number; NA, missing data.

Figure 6

Figure 7

Table 8

Reference ID% (95% CI)
Omitting Han et al. (110)43.07% (37.26–48.97)
Omitting Shen et al. (126)43.34% (37.58–49.18)
Omitting Fu et al. (87)42.69% (36.81–48.69)
Omitting Liu et al. (97)42.51% (36.70–48.42)
Omitting Kang et al. (129)43.49% (37.78–49.28)
Omitting Lei et al. (130)42.07% (36.32–47.93)
Omitting Li et al. (51)42.39% (36.60–48.28)
Omitting Shang et al. (109)43.04% (37.21–48.96)
Omitting Yuan et al. (132)42.56% (36.75–48.46)
Omitting Zhang et al. (131)42.49% (36.69–48.40)
Omitting Dong et al. (107)42.68% (36.85–48.60)
Omitting He et al. (108)42.75% (36.89–48.71)
Omitting Liu (133)42.76% (36.93–48.69)
Omitting Liu and Sun (106)43.08% (37.28–48.99)
Omitting Sha et al. (78)43.08% (37.26–48.98)
Omitting Wang. (77)42.58% (36.65–48.63)
Omitting Yue et al. (134)42.83% (37.01–48.74)
Omitting Chowdhury et al. (139)42.66% (36.86–48.56)
Omitting Lin (79)42.45% (36.65–48.36)
Omitting Xie et al. (116)41.88% (36.22–47.64)
Omitting Yao (135)42.34% (36.57–48.22)
Omitting Cao et al. (96)43.08% (37.28–48.98)
Omitting Chen (117)42.91% (37.10–48.82)
Omitting Chen et al. (105)42.89% (37.02–48.85)
Omitting Chen et al. (118)42.43% (36.64–48.33)
Omitting Cheng et al. (120)42.64% (36.82–48.56)
Omitting Daves et al. (142)42.90% (37.08–48.82)
Omitting Hu and Gu (119)42.68% (36.84–48.63)
Omitting Huang (149)42.88% (37.05–48.82)
Omitting Liu (88)42.49% (36.69–48.40)
Omitting Ma et al. (111)42.84% (36.95–48.82)
Omitting Maya et al. (69)42.31% (36.54–48.19)
Omitting Qu et al. (115)42.51% (36.67–48.46)
Omitting Rodríguez-Prieto et al. (145)42.73% (36.92–48.64)
Omitting Segura-Correa et al. (146)42.70% (36.88–48.62)
Omitting Wang et al. (94)42.48% (36.68–48.38)
Omitting Zhao (95)42.07% (36.34–47.90)
Omitting Zhong et al. (104)43.11% (37.31–49.01)
Omitting Chen et al. (81)42.72% (36.91–48.63)
Omitting Cheng et al. (90)42.69% (36.84–48.64)
Omitting Katoch et al. (138)43.51% (37.72–49.38)
Omitting Liu (89)42.86% (37.03–48.79)
Omitting Luo (114)42.69% (36.84–48.64)
Omitting Singh et al. (137)43.17% (37.38–49.06)
Omitting Uddin et al. (121)42.66% (36.86–48.56)
Omitting Wang (34)41.93% (36.36–47.61)
Omitting Zhu (105)42.86% (37.03–48.79)
Omitting Kumar et al. (103)43.21% (37.43–49.09)
Omitting Li (101)42.65% (36.83–48.57)
Omitting Liu (113)42.68% (36.85–48.61)
Omitting Lu et al. (83)42.68% (36.88–48.59)
Omitting Luo et al. (91)43.10% (37.29–49.00)
Omitting Manandhar et al. (143)43.48% (37.74–49.32)
Omitting Olmo et al. (144)43.31% (37.52–49.20)
Omitting Yan et al. (93)42.85% (37.03–48.77)
Omitting Zhang et al. (112)42.65% (36.83–48.57)
Omitting Berg et al. (76)42.63% (36.81–48.54)
Omitting Erfani et al. (127)42.96% (37.14–48.88)
Omitting Liu et al. (122)42.34% (36.56–48.22)
Omitting Olmo et al. (99)43.38% (37.64–49.22)
Omitting Sun et al. (84)43.19% (37.42–49.06)
Omitting Tadesse et al. (141)42.65% (36.83–48.57)
Omitting Asnake et al. (140)43.31% (37.52–49.19)
Omitting Bi et al. (86)42.53% (36.69–48.48)
Omitting Gan et al. (128)43.33% (37.56–49.18)
Omitting Guidoum et al. (75)42.56% (36.75–48.46)
Omitting Li et al. (123)43.33% (37.56–49.19)
Omitting Li et al. (123)42.47% (36.66–48.38)
Omitting Liu (125)42.14% (36.54–47.85)
Omitting Akagami et al. (136)42.99% (37.05–49.04)
Omitting Noaman and Nabinejad (100)42.64% (36.83–48.55)
Omitting Nugroho et al. (21)43.22% (37.41–49.11)
Omitting Zhao et al. (85)42.28% (36.51–48.16)
Omitting Zhao (124)42.72% (36.91–48.65)
Omitting Zhu (105)42.20% (36.65–47.85)
Omitting Demil et al. (74)42.99% (37.17–48.90)
Omitting Wang et al. (102)43.15% (37.35–49.05)

Sensitivity analysis (decetion antibody).

4. Discussion

BVDV is one of the most important bovine infectious diseases with global animal health and economic impacts. BVDV infection will not only cause huge economic losses to the breeding industry, but also in animal research and medical industry related serum, vaccines and other biological not infected with BVDV but contaminated with BVDV, which has a huge economic impact (150). BVDV can be spread in many ways. BVDV is widely transmitted, not only through direct contact, but also through various excreta, contaminated materials, etc (151). However, vertical transmission plays an important role in its epidemiology and pathogenesis. PI calves produced by pregnant cows through vertical transmission are the main source of infection of the disease, and they continue to be infected and carry BVDV pathogens throughout their lives. PI cattle are the main host of the virus. A large number of viruses are excreted from urine, feces, excrement, milk and semen, causing serious obstacles to the control of the disease.

The article searched all articles on the epidemiology of bovine BVDV in 2010–2021. The meta-analysis included 128 articles. Through the analysis, it is expected to investigate the latest data on the global prevalence of BVDV and provide data support for the prevention and control of BVDV. The detection of BVDV is usually divided into the detection of antigens and the detection of antibodies. A positive antigen represents the current prevalence of animals carrying BVDV pathogens, making it clear that the virus is spreading and harming the population. Positive antibody indicates infection, vaccine immunization or transient infection. As individuals immunized with vaccine are excluded, positive antibody in the article can be considered as being infected by virus. Both have important guiding significance for the description of the BVDV epidemic.

In the regional subgroup, there were fewer test samples in Europe, possibly due to large-scale vaccinations in Europe and not included in the study; On the other hand, it may be due to the fact that many European countries have eradicated BVDV or the prevalence rate has dropped to 1.5% (152). Examples include Denmark, Norway, Sweden and Finland (153). Switzerland, Austria and Germany are in the late or final stages of eradicating BVDV, followed by plans to eradicate BVDV in the Netherlands, Ireland and Poland (19). Control measures in several countries are mainly aimed at the clearance of PI animals. As early as 1990, a non-vaccination program in the Scandinavian countries was implemented to eliminate BVDV, which was planned to detect and remove PI animals based on ear groove samples (154). The Swiss clearance program restricts action mainly on pregnant cattle and directly tests for antigenic and viral genomes (155). Ireland's clearance program focuses on monitoring ear groove samples from newborn calves (156). PI animals are immune to BVDV and are unable to develop specific antibodies against it, which increases the obstacle to virus clearance and is also the main source of infection of the disease (157). And the mutagenicity of the virus itself, as well as the infection of cp BVDV from the outside world, has developed into a fatal mucosal disease, causing serious harm to the herd (158). There is evidence that when PI animals disappear, population virus transmission is largely stopped. However, the impact of removing only PI without considering TI is still debatable. There are cases where BVDV will persist for 6 years without PI mavericks (159). The successful implementation of a BVDV control plan should consider the impact of both modes of infection. In the process of removing PI, the prevalence rate should be monitored at the same time, and TI animals should be monitored in a timely manner. While the prevalence of PI animals varies from region to region in terms of legal support, it took nearly 10 years for all countries to reach the final stages of the control plan (160, 161). The long-term implementation of the plan also suggests that in order to successfully complete the purification, strict policies, strict management, and a high degree of prevention awareness of practitioners are required.

In the regional subgroups, the low prevalence rate in North America and the high prevalence rate in South America and South America may result in a small number of articles and be unrepresentative due to the limitations of search. There is no data on antigen testing in Africa, while the prevalence of antibody testing remains high. This also reminds us that although many African countries have carried out surveillance and culling of BVDV, it will take a long time to eliminate BVDV. Asia has the largest literature and the infection rate remains high, with no significant differences in regional subgroups. The high infection rate in Asia may be due to the lack of a sound control plan and a surge in herd numbers due to the rapid development of the cattle industry. From the measures in different regions, we can find that the control plan in Poland suggests that it is very important to control the possible risk of virus transmission if the eradication plan is to be successful. From the German plan, it can be found that voluntary policies are not enough to achieve freedom from disease, and the initial implementation of voluntary policies eventually leads to mandatory plans (19). The control plan of the Netherlands points out that in areas where BVDV has been eradicated, the increase of susceptible animals makes the area more affected by BVDV, so timely detection should be carried out to reduce the possibility of transmission of BVDV (162). Monitoring plays an important role in reducing the spread of BVDV, and the comprehensiveness of the sample survey is critical to the success of the eradication plan (20). It can be concluded from the control and eradication plans implemented in different countries and regions that the identification and isolation of PI animals is the key to the eradication plan, and vaccination and appropriate safety measures are the basic methods of the control plan (163). Therefore, countries and areas that have implemented eradication plans should conduct timely and regular prevalence surveys. Other areas should implement corresponding eradication plans as soon as possible.

Due to different control measures in different regions, a subgroup analysis of time for global BVDV antigen testing and antibody testing found that the prevalence after 2017 did not decrease significantly compared with the prevalence before 2017. Previous articles have analyzed that in the global region, the prevalence of PI showed a downward trend from 1982 to 2016, while the level of antibody prevalence was relatively stable (164). Our data also shows that the prevalence of antigens and antibodies has remained relatively stable since 2017. It is suggested that we should improve the corresponding eradication policy and give certain time and patience to eliminate pathogens. BVDV still has a high infection rate, and this high spread may be due to the lack of complete prevention and control measures for BVDV, the most important reason being the failure to detect and eliminate PI animals (151). In addition, the lack of commercial vaccines and reasonable and effective prevention and control programs is one of the reasons for the high prevalence of BVDV (27). Commercial transportation, fertilization of breeding cattle, and the introduction of new herds are all indispensable factors in the spread of disease, hindering the eradication of BVDV. Therefore, it is important to improve the monitoring of BVDV and introduce relevant control measures (151, 165).

In the breed subgroup, the antibody test results were the highest among dairy cattle, with significant difference. On the one hand, it may be due to the long service period of dairy cows, which have more opportunities to contact with pathogens. Studies have also confirmed that the positive rates of tuberculosis, brucellosis and bovine leukemia virus in dairy cows are higher than those in beef cattle (165, 166). On the other hand, compared with beef cattle, there may be more contact between cows and milkers, and the cross-infection among different cows is more intensive during milking, which leads to more opportunities for virus contact and greater risk of infection (142). Among the antigen test results, the positive rate of dairy cows was the lowest, and the difference was significant. Perhaps this is because the harm of antigen-positive cows to dairy cows is more intuitive, such as decreased milk yield, stillbirth, abortion, etc (12, 167, 168), and the production performance of dairy cows needs higher health, so antigen-positive cows are eliminated in time (169171). For different breeds of cattle, different control measures should be taken according to different economic uses and lifestyles, and strict management should be taken to reduce the prevalence of BVDV.

Age has long been considered the most common influencing factor associated with infection rates (172). The data in the article show that the prevalence of adult cattle is higher than that of calve, and there is no significant difference. Many studies have also pointed out that the prevalence of adult cattle is higher than that of calves as a factor of age (74, 149, 173). This may be due to the longer survival time of adult cattle, a higher chance of exposure to the virus, and a higher probability of infection (141). In addition, antibody prevalence in calves is much higher than antigen prevalence, possibly due to the fact that calves can obtain colostrum antibodies from the mother (174). For calves, whether they are PI cattle carrying antigens should be detected in time, and eliminated in time to prevent the spread of infection. Adult cattle should have a reasonable detection system and a sound management system to reduce the chance of contact with the virus and reduce the prevalence of the disease.

The survey data of the article shows that the prevalence rate is relatively high in winter and spring, no matter for antigen detection or antibody detection. This may be due to the breeding season in spring and winter. It has been reported that in winter and spring, both male and female animals have strong reproductive performance, which is more conducive to cattle breeding (175, 176). The spread of BVDV in the breeding process led to the birth of more PI positive calves, further promoting the increase of the positive rate. The prevalence of BVDV antibody is still high in summer. It may be that the PI animals produced continuously expel viruses to the external environment, leading to the expansion of infection. Some literature points out that there is no antiviral drug to prevent the spread of BVDV in the farm at present, and the spread of the virus can only be prevented by isolating PI animals or vaccinating (177). Therefore, BVDV detection should be done well in the breeding season to reduce the production of PI animals and control the spread of BVDV from the source.

Many articles point out that gender does not have a large influence on infection rates, and bulls are just as susceptible as cows (74). The results of this survey show that there is no significant difference, which is consistent with other research results. Investigation samples of cows are much larger than those of bulls, possibly due to the fact that bulls are mostly used as beef cattle and female cows are used for milk production and reproductive purposes. Female cattle are more affected by the disease. Since PI calves born of cow infection during the first trimester of pregnancy are the main source of infection of the disease, cow test samples are collected in antigen testing to prevent the birth of PI cattle. Therefore, the prevention and control of PI cattle can be screened for antigens from pregnant cows.

In the introduction of BVDV 2018, the diagnosis of BVDV includes nucleic acid detection of QPCR, antigen antibody detection of ELISA, IHC, VN and virus isolation. PCR method can almost meet all purposes of detection, including making group animals free from infection, individual animals free from infection before moving, promoting the implementation of eradication policy, confirmation of clinical cases and detection of infection rate. PCR detection method has the advantages of convenience, rapidity and large sample size. The ELISA method is not applicable to animals with acute infection. IHC is mainly for diagnostic investigation. VN and virus isolation are usually used in laboratory research. It can be seen in the antigen detection data that the positive rate of PCR test is higher than the positive rate of ELISA test. There have also been reports of low sensitivity and accuracy of ELISA testing compared to PCR (178). Young animals can also obtain BVDV antibodies from the milk of female animals, thereby reducing the detection rate of ELISA antigens. This is consistent with the findings of this paper. VN has the highest detection rate, but it is difficult to detect, the sample detection volume is small, and it is generally not used in epidemiological investigations (28). In epidemiological investigations, antibody testing mostly chooses the rapid and inexpensive ELISA test, while the antigen test chooses a more sensitive PCR test (179).

The results of the survey show that most of the antibody test samples are derived from serum, and the test is relatively mature. The feces positivity rate was highest among the antigen-tested samples, followed by blood samples and ear tissue sample. The ear tissue sample is significantly different from other samples, and its low prevalence rate may be due to the fact that the sample was collected from the area where BVDV purification was carried out. Feces samples and blood samples can reflect the prevalence of infection. Feces sample collection is more convenient, the harm to cattle is small, but there is a possibility of cross-infect; Stress may occur on cattle during blood sample collection; Ear tissue samples are often used for the removal of PI cattle under the purification policy of various regions. For the detection of BVDV in cattle, the most appropriate samples shall be taken according to local conditions to make the detection results comprehensive and correct (180).

Breeding mode has always been a key factor affecting BVDV infection. An article survey shows that the low prevalence of grazing and breeding is due to the low density of grazing and breeding (40). However, some data show that the prevalence of intensive farming is low, and some studies show that grazing and breeding have the opportunity to contact more pathogens. Studies have pointed out that although BVDV cannot be transmitted by flies, flies have been shown to carry the BVDV pathogen (181). In the breeding mode subgroup, the positive rate of intensive culture was higher than that of extensive culture. On the one hand, there may be errors in monitoring the infection rate due to the difficulty in sampling free range animals. On the other hand, the virus may spread widely due to the high density of intensive farming. In addition, BVDV is introduced and spread through contaminated houses, water tanks, feeds and feeding equipment (182).

When BVDV infection occurs, the clinical symptoms of acute infected animals usually include temperature rise to 40°C, diarrhea, oral erosion, etc. There are few or no clinical symptoms observed in other infections (183). Mucosal diseases induced by BVDV do not show clinical symptoms within 1 week. After 1 week, severe diarrhea, dehydration, anorexia, and lethargy will occur, and death will occur 1 week after clinical symptoms (184). Due to the low incidence of acute infection and mucosal disease, BVDV infection will not lead to obvious clinical infection, or only non-specific clinical symptoms and immunosuppression (6). The immunosuppression will be secondary to other pathogenic infections, which may cause a series of clinical symptoms and endanger the health level of livestock (185). Through the division of clinical health, the results showed that the prevalence rate of cattle with clinical symptoms was higher than that of clinical healthy cattle, indicating that regular detection of cattle health was also an important way to prevent and control infection. Therefore, whether or not having a sound management system is the key to affecting the infection rate of the intensive breeding industry. A reasonable and perfect management system can greatly reduce the spread of virus.

Through our meta-analysis, we found that the prevalence of BVDV in the world is still very high. In the areas where the eradication plan is implemented, attention should still be paid to controlling the possible transmission risk of the virus. In terms of time span, the control and elimination of BVDV requires the joint efforts of all countries and regions to develop reasonable and effective prevention and control programs to eliminate PI animals. At the same time, the elimination of BVDV requires a certain degree of patience, timely grasp the epidemic situation, and improve the prevention and control policy. Different control measures should be taken for different breeds of cattle, and strict management policies are required to reduce BVDV infection. After calves are born, they should be tested for antigen in time to reduce the birth of PI cattle. BVDV detection and elimination should be done well in winter and spring breeding seasons. For cows, it is necessary to timely detect whether there is antigen infection before pregnancy to prevent the production of PI cattle. The ear tissue samples selected for antigen monitoring are more accurate, VN detection method has a higher accuracy, while PCR detection method has a wide detection range and a large sample detection volume. Generally, ELISA is used to detect serum samples. In raising cattle, attention should be paid to the cleanliness and hygiene of the breeding environment.

To sum up, based on the epidemiological situation of BVDV in different areas, the eradication and prevention policies should be formulated and revised in time. Meanwhile, it is necessary to strengthen the awareness of herders to diseases and increase the awareness of veterinary and other related professionals to prevent and control BVDV. Our meta-analysis still has some limitations. The main reasons are as follows: 1. Due to the choice of language and database, it was not included in all studies. 2. The data cannot be downloaded or excluded from the inclusion and exclusion criteria. 3. Many countries do not have perfect testing procedures and do not test all cattle.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.

Author contributions

RD and KS: idea and concept. NS: writing and editing of the manuscript. RD: funding. H-YL, L-ML, QW, and KS: revision of the manuscript. Q-XM, T-TW, WZ, and T-LY: collection and extraction of data. TT and J-YY: database establishment. TL, N-CD, QW, and J-ML: data analysis. All the authors contributed to the editing of the manuscript and approved the final manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (No. 31672577).

Acknowledgments

We thank the scientists and personnel of the College of Animal Science and Technology, Jilin Agricultural University, and the College of Chinese Medicine Materials, Jilin Agricultural University, for their collaboration.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2022.1086180/full#supplementary-material

Abbreviations

BVDV, Bovine viral diarrhea virus; PRISMA, Preferred reporting items for systematic reviews and meta-analyses.

References

  • 1.

    BrownlieJ. The pathogenesis of bovine viral diarrhoea virus infections. Rev Sci Tech. (1990) 9:4359. 10.20506/rst.9.1.491

  • 2.

    AbdelsalamKRajputMElmowalidGSobraskeJThakurNAbdallahHet al. The effect of bovine viral diarrhea virus (BVDV) strains and the corresponding infected-macrophages' supernatant on macrophage inflammatory function and lymphocyte apoptosis. Viruses. (2020) 12:701. 10.3390/v12070701

  • 3.

    MosenaAFalkenbergSMMaHCasasENeillJD. Multivariate analysis as a method to evaluate antigenic relationships between BVDV vaccine and field strains. Vaccine. (2020) 38:576472. 10.1016/j.vaccine.2020.07.010

  • 4.

    MeyersGThielHJ. Molecular characterization of pestiviruses. Adv Virus Res. (1996) 47:53118. 10.1016/S0065-3527(08)60734-4

  • 5.

    PeterhansEJungiTWSchweizerM. BVDV and innate immunity. Biologicals. (2003) 31:10712. 10.1016/S1045-1056(03)00024-1

  • 6.

    BrodersenBW. Bovine viral diarrhea virus infections: manifestations of infection and recent advances in understanding pathogenesis and control. Vet Pathol. (2014) 51:45364. 10.1177/0300985813520250

  • 7.

    DuanHMaZXuLZhangAKLiZWXiaoSQ. A novel intracellularly expressed NS5B-specific nanobody suppresses bovine viral diarrhea virus replication. Vet Microbiol. (2019) 240:108449. 10.1016/j.vetmic.2019.108449

  • 8.

    ArnaizICervioMMartínezSFouzRDiéguezFJ. Bovine viral diarrhea virus (BVDV) infection: effect on reproductive performance and milk yield in dairy herds. Vet J. (2021) 277:105747. 10.1016/j.tvjl.2021.105747

  • 9.

    VilcekSNettletonPFPatonDJBelákS. Molecular characterization of ovine pestiviruses. J Gen Virol. (1997) 78:72535. 10.1099/0022-1317-78-4-725

  • 10.

    VilcekSNettletonPF. Pestiviruses in wild animals. Vet Microbiol. (2006) 116:112. 10.1016/j.vetmic.2006.06.003

  • 11.

    de OliveiraLGMechler-DreibiMLAlmeidaHMSGattoIRH. Bovine viral diarrhea virus: recent findings about its occurrence in pigs. Viruses. (2020) 12:600. 10.3390/v12060600

  • 12.

    HoueH. Economic impact of BVDV infection in dairies. Biologicals. (2003) 31:13743. 10.1016/S1045-1056(03)00030-7

  • 13.

    YarnallMJThrusfieldMV. Engaging veterinarians and farmers in eradicating bovine viral diarrhoea: a systematic review of economic impact. Vet Rec. (2017) 181:347347. 10.1136/vr.104370

  • 14.

    Al-KubatiAAGHussenJKandeelMAl-MubarakAIAHemidaMG. Recent advances on the bovine viral diarrhea virus molecular pathogenesis, immune response, and vaccines development. Front Vet Sci. (2021) 8:665128. 10.3389/fvets.2021.665128

  • 15.

    YueXSteeneveldWvan der VoortMvan SchaikGVernooijJCMvan DuijnLet al. The effect of bovine viral diarrhea virus introduction on milk production of Dutch dairy herds. J Dairy Sci. (2020) 104:207486. 10.3168/jds.2020-18866

  • 16.

    WalzPHChamorroMFM FalkenbergSPasslerTvan der MeerFR WoolumsA. Bovine viral diarrhea virus: an updated american college of veterinary internal medicine consensus statement with focus on virus biology, hosts, immunosuppression, and vaccination. J Vet Intern Med. (2020) 43:1690706. 10.1111/jvim.15816

  • 17.

    BitschVHansenKERønsholtL. Experiences from the Danish programme for eradication of bovine virus diarrhoea (BVD) 1994-1998 with special reference to legislation and causes of infection. Vet Microbiol. (2000) 77:13743. 10.1016/S0378-1135(00)00270-4

  • 18.

    StrainSVernerSCampbellEHodnikJJSantman-BerendsIMGA. The Northern ireland control programmes for infectious cattle diseases not regulated by the EU. Front Vet Sci. (2021) 8:694197. 10.3389/fvets.2021.694197

  • 19.

    WernikeKGethmannJSchirrmeierHSchröderRConrathsFJBeerM. Six Years (2011-2016) of mandatory nationwide bovine viral diarrhea control in Germany-a success story. Pathogens. (2017) 6:50. 10.3390/pathogens6040050

  • 20.

    SchweizerMStalderHHaslebacherAGrisigerMSchwermerHDi LabioE. Eradication of bovine viral diarrhoea (BVD) in cattle in Switzerland: lessons taught by the complex biology of the virus. Front Vet Sci. (2021) 8:702730. 10.3389/fvets.2021.702730

  • 21.

    NugrohoWSilitongaRJPReichelMPIrianingsihSHWicaksonoMS. The epidemiology and control of bovine viral diarrhoea virus in tropical Indonesian cattle. Pathogens. (2022) 11:215. 10.3390/pathogens11020215

  • 22.

    EggerMSmithGD. Bias in location and selection of studies. BMJ. (1998) 316:616. 10.1136/bmj.316.7124.61

  • 23.

    EggerM. Bias in meta-analysis detected by a simple, graphical test. BMJ. (1997) 315:62934. 10.1136/bmj.315.7109.629

  • 24.

    Huedo-MedinaTBSánchez-MecaJMarín-MartínezFBotellaJ. Assessing heterogeneity in meta-analysis: Q statistic or I2 index?Psychol Methods. (2006) 11:193. 10.1037/1082-989X.11.2.193

  • 25.

    XuCQHouHJJiangXFuXBLiLAAiXet al. Isolation, characterization and molecular epidemiology of Bovine Viral Diarrhea Virus in Tianjin from 2018 to 2019. J Infect Dis. (2020) 28:248.

  • 26.

    DengMLChenNGuidariniCXuZHZhangJJCaiLJet al. Prevalence and genetic diversity of bovine viral diarrhea virus in dairy herds of China. Vet Microbiol. (2020) 242:108565. 10.1016/j.vetmic.2019.108565

  • 27.

    GuoTZhangJChenXWeiXWuCCuiQet al. Investigation of viral pathogens in cattle with bovine respiratory disease complex in Inner Mongolia, China. Microb Pathog. (2020) 153:104594. 10.1016/j.micpath.2020.104594

  • 28.

    ChangLQiYLiuDDuQZhaoXTongD. Molecular detection and genotyping of bovine viral diarrhea virus in Western China. BMC Vet Res. (2021) 17:66. 10.1186/s12917-021-02747-7

  • 29.

    ZhangLWangJLSunYYYangHJZhangYFJiangRXet al. Pathogenic detection of viruses related to calf diarrhea in dairy farms in Shandong Province during 2017 to 2018. Chin J Anim Health Insp. (2020) 37:5.

  • 30.

    LongMC. Epidemiological investigation of bovine viral diarrhea virus. Today Anim Husbandry Vet Med. (2019) 35:15. 10.3969/j.issn.1673-4092.2019.05.011

  • 31.

    WangJTSangXBShiQWDiaoCXZhuangYLet al. Serological investigation of bovine viral diarrhea antigens in large-scale dairy farms in Heilongjiang Province. Heilongjiang Anim Sci Vet Med. (2012) 912.

  • 32.

    LeeSHKimHYChoiEWKimD. Causative agents and epidemiology of diarrhea in Korean native calves. J Vet Sci. (2019) 20:e64. 10.4142/jvs.2019.20.e64

  • 33.

    LiZY. Investigation on the Main Pathogens of Calf Diarrhea in Henan Province and Analysis of Two Pathogens. Henan Agricultural University (2019).

  • 34.

    WangHR. The investigation of major pathogens of the calf diarrhea and the analysis of biological characteristics of E. coli in 13 provinces, China. Chinese Acad Agric Sci. (2017).

  • 35.

    WangMCYueHTangCYangZL. Detection and genetic evolution of diarrhea-related viruses in Chongqing beef cattle. China Anim Husbandry Vet. (2017) 44:27318. 10.16431/j.cnki.1671-7236.2017.09.027

  • 36.

    ChenXNXiaoMRuanWQQinSNYueHTangCet al. Molecular epidemiological investigation and isolation of bovine viral diarrhea virus in yak in Sichuan-Tibet plateau region. Chin J Anim Vet Sci. (2018) 49:60613.

  • 37.

    LiJ. Investigation and analysis of yak diarrhea in Qinghai. Today Anim Husbandry Vet Med. (2019) 35:23. 10.3969/j.issn.1673-4092.2019.11.016

  • 38.

    YanZYLvBLLaJHaiCXLiWY. Detection and analysis of five viral pathogens associated with diarrhea in yaks in Huangzhong County, Qinghai Province. Anim Husb Vet Med. (2019) 51:8892.

  • 39.

    SunLQinJ. Epidemiological investigation on the pathogen of calf diarrhea in Bazhou, Xinjiang. Heilongjiang Anim Sci Vet Med. (2019) 3.

  • 40.

    Han DG RyuJHParkJChoiKS. Identification of a new bovine viral diarrhea virus subtype in the Republic of Korea. BMC Vet Res. (2018) 14:233. 10.1186/s12917-018-1555-4

  • 41.

    RyuJHChoiKS. Genetic analysis of bovine viral diarrhea virus in pre-weaned native Korean calves. Trop Anim Health Pro. (2019) 51:208590. 10.1007/s11250-019-01882-6

  • 42.

    KimYKimYLeeSYLeeKKLeeKHSongJCet al. Identification of Korean native cattle persistently infected with BVDV using Ear-notch method. Korean J Vet Serv. (2019) 42:11720. 10.7853/kjvs.2019.42.2.117

  • 43.

    ZhangK. Investigation of Calves Viral Diarrhea Related Pathogen of Large-Scale Dairy Farm in Northern XinJiang Region. Shihezi University (2016). Available online at: https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD201701&filename=1016778661.nh

  • 44.

    LuoYJLiJSuGCQuYGCaoSZLiY. Investigation on infection of major viral reproductive disorders in dairy farms. China Anim Health Insp. (2015) 32:157.

  • 45.

    QuanYCLiuHS. Investigation on the infection of three bovine viral diarrhea pathogens in some areas of Qinghai Province. Chung-kuo Hsu Mu Shou I. (2014) 41:2203.

  • 46.

    LVJJZhangLQ. Epidemiological investigation of viral diarrhea and infectious rhinotracheitis in Qinghai Yaks. Acta Ecologiae Animalis Domastici. (2014) 35:5963.

  • 47.

    LiuXPSongKGaoYWFuXZWangZSWuT. Serological investigation on major infectious diseases of beef cattle and crossbred beef cattle in Wujiaqu City, Xinjiang. China Cattle Sci. (2017) 43:735.

  • 48.

    KavehAMeratESamaniSDanandehSSoltan NezhadS. Infectious causes of bovine abortion in Qazvin Province, Iran. Arch Razi Inst. (2016) 72:22530. 10.22092/ari.2017.113299

  • 49.

    WangHMLiXHZhangHJZhangLGZhangXLYinLLet al. Report on detection results of bovine viral diarrhea in Weichang County, Hebei Province in 2017. Vet Orient. (2020) 2.

  • 50.

    WangTL. Investigation of BVD Infection and Isolation and Identification of Epidemic Strains in an Area of Henan. Tarim University (2020).

  • 51.

    LiDLZhaoJYShenJLShiCJCaoJ. Risk assessment and epidemic analysis of infectious rhinotracheitis and bovine viral diarrhea in dairy farms in Beijing. China Dairy Cattle. (2013) 313. 10.3969/j.issn.1004-4264.2013.11.009

  • 52.

    AgahMANotsuKEl-KhaiatHMArikawaGKuboMMitomaSet al. Slaughterhouse survey for detection of bovine viral diarrhea infection among beef cattle in Kyushu, Japan. J Vet Med Sci. (2019) 81:14504. 10.1292/jvms.19-0045

  • 53.

    ZhangSXHeMRYuHJHeBNZhaoSQWangLet al. Detection of Bovine viral diarrhea virus using qRT-PCR combined with double-antibody sandwich ELISA in a large-scale cattle farm in Heilongjiang Province. Heilongjiang Anim Sci Vet Med. (2019) 725. 10.13881/j.cnki.hljxmsy.2019.01.0308

  • 54.

    YaoZLFuHQCuiPFZongJL. Molecular epidemiology of bovine viral diarrhea virus and identification of a BVDV−2 isolate in regional area of Jiangsu and Zhejiang provinces. J Yangzhou University. (2019) 40:406. 10.16872/j.cnki.1671-4652.2019.01.007

  • 55.

    SongWBMaCSGuoJMMaLTZhangXY. Etiological investigation and analysis of yak infected with bovine viral diarrhea virus and bovine enterovirus in Haibei Prefecture, Qinghai Province from 2016 to 2017. Heilongjiang Anim Sci Vet Med. (2019) 8890. 10.13881/j.cnki.hljxmsy.2018.03.0120

  • 56.

    WangHManHY. Epidemiological investigation and analysis of bovine viral diarrhea virus in Liangzhou District, Wuwei City, Gansu Province. China Dairy Cattle. (2020) 269. 10.19305/j.cnki.11-3009/s.2020.12.007

  • 57.

    WeiQQuYGChangJSGuSYWuYYYuHJet al. Molecular epidemiological investigation of bovine viral diarrhea in some areas of Xinjiang. Anim Husb Vet Med. (2020) 52:1059.

  • 58.

    Safarpoor DehkordiF. Prevalence study of Bovine viral diarrhea virus by evaluation of antigen capture ELISA and RT-PCR assay in Bovine, Ovine, Caprine, Buffalo and Camel aborted fetuses in Iran. AMB Express. (2011) 1:32. 10.1186/2191-0855-1-32

  • 59.

    WengXG. Epidemiologic Survey of Bovine Viral Diarrhea in Beijing Region, Study of IFN- α/β Response in Persistently Infected Cattle and Immunomodulatory Effects of Forsythoside A. China Agriculture University (2015).

  • 60.

    ZhangXHuangKHZhangKC. Serological investigation of two viral diseases in dairy cows in Shanghai. China Diary. (2015) 549. 10.3969/j.issn.1004-4264.2015.14.015

  • 61.

    MishraNRajukumarKPateriyaAKumarMDubeyPBeheraSPet al. Identification and molecular characterization of novel and divergent HoBi-like pestiviruses from naturally infected cattle in India. Vet Microbiol. (2014) 174:23946. 10.1016/j.vetmic.2014.09.017

  • 62.

    GangilRKaurGDwivediPN. Detection of respiratory viral antigens in nasal swabs of bovine by sandwich ELISA. Indian J Anim Res. (2020) 54:3548. 10.10.18805/ijar.B-3769

  • 63.

    AlamMRAfrinKDashAKBhowmikDKSenABNathS. Incidence and therapeutic management of viral diseases in cattle at Jaintapur, Sylhet, Bangladesh. J Adv Res. (2016) 3:1320.

  • 64.

    YitagesuEJacksonWKebedeNSmithWFentieT. Prevalence of bovine abortion, calf mortality, and bovine viral diarrhea virus (BVDV) persistently infected calves among pastoral, peri-urban, and mixed-crop livestock farms in central and Northwest Ethiopia. BMC Vet Res. (2021) 17:87. 10.1186/s12917-021-02798-w

  • 65.

    AsmareKSibhatBAyeletGGebremedhinEZLideteKASkjerveE. Serological evidence of Bovine herpesvirus-1, Bovine Viral Diarrhea virus and Schmallenberg virus infections in relation to reproductive disorders in dairy cattle in Ethiopia. Acta Tropica. (2018) 178:23641. 10.1016/j.actatropica.2017.12.005

  • 66.

    Fernández-AguilarXLópez-OlveraJRMarcoIRosellRColom-CadenaASoto-HerasSet al. Pestivirus in alpine wild ruminants and sympatric livestock from the Cantabrian Mountains, Spain. Vet Rec. (2016) 178:586. 10.1136/vr.103577

  • 67.

    DecaroNLucenteMSLanaveGGarganoPLaroccaVLosurdoMet al. Evidence for circulation of bovine viral diarrhoea virus type 2c in ruminants in Southern Italy. Transbound Emerg Dis. (2017) 64:193544. 10.1111/tbed.12592

  • 68.

    CaffarenaRDCasauxMLSchildCOFragaMCastellsMColinaRet al. Causes of neonatal calf diarrhea and mortality in pasture-based dairy herds in Uruguay: a farm-matched case-control study. Braz J Microbiol. (2021) 52:97788. 10.1007/s42770-021-00440-3

  • 69.

    MayaLMacías-RiosecoMSilveiraCGiannittiFCastellsMSalvoMet al. An extensive field study reveals the circulation of new genetic variants of subtype 1a of bovine viral diarrhea virus in Uruguay. Arch Virol. (2020) 165:14556. 10.1007/s00705-019-04446-z

  • 70.

    PaixãoSFFritzenJTTAlfieriAFAlfieriAA. Virus neutralization technique as a tool to evaluate the virological profile for bovine viral diarrhea virus infection in dairy water buffalo (Bubalus bubalis) herds. Trop Anim Health Prod. (2018) 50:9114. 10.1007/s11250-017-1503-5

  • 71.

    VianaRBMonteiroBMSouzaDC. Sensitivity and specificity of indirect ELISA for the detection of antibody titers against BVDV from beef cattle raised in Pará State. Semina Ciências Agrárias. (2017) 38:304958. 10.5433/1679-0359.2017v38n5p3049

  • 72.

    FreitasBBCorreaAValottoAAMarcomNNPaulinoLRBrumJSet al. Prevalence of bovines persistently infected with bovine viral diarrhea virus (BVDV) in dairy cattle herds in Paraná State, Brazil. Pesquisa Vet Brasil. (2021) 41. 10.1590/1678-5150-pvb-6622

  • 73.

    StephensonMKPalomaresRAWhiteBJEngelkenTJBrockKV. Prevalence of bovine viral diarrhea virus (BVDV) persistently infected calves in auction markets from the southeastern United States; association between body weight and BVDV-positive diagnosis. Profess Anim Sci. (2017) 33:42631. 10.15232/pas.2017-01619

  • 74.

    DemilEFentieTVidalGJacksonWSmithW. Prevalence of bovine viral diarrhea virus antibodies and risk factors in dairy cattle in Gondar city, Northwest Ethiopia. Chin J Prev Vet Med. (2021) 191:105363. 10.1016/j.prevetmed.2021.105363

  • 75.

    GuidoumKABenallouBPaillerLEspunyesJNappSCabezónO. Ruminant pestiviruses in North Africa. Prev Vet Med. (2020) 184:105156. 10.1016/j.prevetmed.2020.105156

  • 76.

    BergMRamabuSSWensmanJJLysholmS. First-time detection of bovine viral diarrhoea virus, BVDV-1, in cattle in Botswana. Onderstepoort J Vet Res. (2019) 86:17.

  • 77.

    WangW. Serosurvey of major bovine resporitary viruses and identification of BVDV isolates and vaccine development. Chin Acad Agric Sci. (2014).

  • 78.

    ShaJMKaZCWangZS. Serological investigation of three viral diarrhea diseases in cattle herds in Huangnan Prefecture, Qinghai Province. Anim Husb Vet Med. (2014) 46:946.

  • 79.

    LinXY. The Infection Status Investigation of Five Major Diseases in Large-scale Farms in Parts of Shandong Province. Shandong Agriculture University (2015).

  • 80.

    HuangZL. The Serosurvey of Major Diseases in Cattle Farms in Parts of Guangxi Province. Nanning: Guangxi University (2016).

  • 81.

    ChenMLiuPChengZLLiuSD. Seroepidemiological survey of common infectious diseases in large-scale dairy farms in Shandong Province. China Cattle Sci. (2017) 43:747.

  • 82.

    WangQQ. Epidemiological Investigation and Analysis of Bovine Viral Diarrhea in Partial Scale Cattle Farms of the South Xinjiang. Aral: Tarim University (2017).

  • 83.

    LuCMYanZGWangJ. Serological investigation and Study on cow viral diarrhea in Jiading and Chongming areas of Shanghai. Vet Guide. (2018) 735.

  • 84.

    SunWMZhuJShenLHCaoXYJinYCXuKet al. Serological investigation of bovine viral diarrhea in Songjiang District, Shanghai. Shanghai J Anim Husbandry Vet Med. (2019) 502. 10.14170/j.cnki.cn31-1278/s.2019.02.016

  • 85.

    ZhaoXLNiuJQCirenYJCirenYZSuolangZGWenDXet al. Epidemiological Survey of Yak Diarrhea Virus BVDV, BCV and BRV. Plateau Agricult. (2020) 4:298302. 10.19707/j.cnki.jpa.2020.03.013

  • 86.

    BiYYSongLLXueYLiJBLiCHJiaAQet al. Detection of serum antibodies against major pathogens leading to BRDC in large-scale dairy farms in four Provinces, Northern China. China Anim Quarant. (2020) 37:913.

  • 87.

    FuCXJinXJZhengRFGuoFHanLLiJet al. Serological investigation of three viral diarrhea diseases in large-scale dairy farms in Beijing. Prog Vet Med. (2012) 33:858. 10.16437/j.cnki.1007-5038.2012.05.018

  • 88.

    LiuJQ. Investigation on bovine viral diarrhea in some large-scale dairy farms in Xinjiang. Modern Anim Husbandry. (2016) 67. 10.14070/j.cnki.15-1150.2016.02.00

  • 89.

    LiuQ. Serological investigation of Qinghai yak viral diarrhea virus. Contemp Livestock Poult Breed. (2017) 101. 10.14070/j.cnki.15-1150.2017.03.008

  • 90.

    ChengSLWangGYixiCMLuoRBZhouHBGongGet al. Detection of serum antibody against viral diarrhea in Tibetan Yaks. Hubei J Anim Vet Sci. (2017) 38:56. 10.16733/j.cnki.issn1007-273x.2017.05.001

  • 91.

    LuoRBChenJCQuJChengSLShenMYLuoXLet al. Serological investigation of viral diarrhea in Tibet yak. J Plateau Agricult. (2018) 2:2615. 10.19707/j.cnki.jpa.2018.03.007

  • 92.

    ZhuGY. Epidemiological Investigation of BVDV in a Large Cattle farm in South Xinjiang.Aral: Tarim University (2020).

  • 93.

    YanXLHeYCLiXRLiS. Serological investigation of bovine viral diarrhea mucosal disease and infectious rhinotracheitis in Zhangye City. China Cattle Sci. (2018) 44:489.

  • 94.

    WangXLWangYMZhangYLWuYWLiZXZhangWet al. Serological investigation of bovine viral diarrhea in some regions of Ningxia. Chin J Anim Health Insp. (2016) 33:179. 10.3969/j.issn.1005-944x.2016.02.008

  • 95.

    ZhaoSY. The Isolation and Fabrication of E0 Genetic Prokaryptic Expression Vector of Bovine Viral Diarrhea Virus Isolated From Ningxia. Yinchuan: Ningxia University (2016) 10.7666/d.y3109188

  • 96.

    CaoSTGuoYNLeiYYBaiXNMaYXuYTet al. Serological investigation on the causes of abortion in large-scale dairy farms in Wuzhong area of Ningxia. Prog Vet Med. (2016) 37:1159. 10.3969/j.issn.1007-5038.2016.04.025

  • 97.

    LiuMYGaoJFHanZQZhangKRDengJHSunWDet al. Seroprevalence of bovine viral diarrhea infection in yaks (Bos grunniens) in some counties of Qinghai- -Tibetan plateau, China. Chin Soc Zootechnics Vet Sci. (2012).

  • 98.

    LiJLiYFanWXYuanLGQiYYPuJWet al. Serological investigation of five epidemic diseases in some large-scale dairy farms in Xinjiang. Prog Vet Med. (2013) 247. 10.3969/j.issn.1007-5038.2013.11.006

  • 99.

    OlmoLReichelMPNampanyaSKhounsySWahlLCClarkBAet al. Risk factors for Neospora caninum, bovine viral diarrhoea virus, and Leptospira interrogans serovar Hardjo infection in smallholder cattle and buffalo in Lao PDR. PLoS ONE. (2019) 14:e0220335. 10.1371/journal.pone.0220335

  • 100.

    NoamanVNabinejadAR. Seroprevalence and risk factors assessment of the three main infectious agents associated with abortion in dairy cattle in Isfahan province, Iran. Trop Anim Health Prod. (2020) 52:20019. 10.1007/s11250-020-02207-8

  • 101.

    LiJKLiKHanZQZhangHWangXQLuoHQet al. Serological survey of bovine viral diarrhoea virus among yaks (Bos poephagus grunniens) in Hongyuan of Sichuan, China. Pak J Zool. (2018) 50:15579. 10.17582/journal.pjz/2018.50.4.sc7

  • 102.

    WangLPJinXDBiJLSuYSYangCLiJLet al. Seroepidemiological investigation of bovine viral diarrhea mucosal disease in Yunnan Province. China Cattle Sci. (2021) 47:1922.

  • 103.

    KumarSKPalanivelKMSukumarKRonaldBSMSelvarajuGPonnuduraiG. Herd-level risk factors for bovine viral diarrhea infection in cattle of Tamil Nadu. Trop Anim Health Prod. (2018) 50:7939. 10.1007/s11250-017-1497-z

  • 104.

    ZhongYMZhangJFZhangJWangMSuJZhangJYet al. Monitoring and purification of breeding cattle disease in Heilongjiang Province. Chung-kuo Hsu Mu Shou I. (2016) 178.

  • 105.

    ChenRFanXZZhuYYZouXQXuLZhangQYet al. Prevalence study and phylogenetic analysis of bovine viral diarrhea virus in free-roaming beef cattle in Western China. Sci Agricul Sinica. (2016) 49:263441.

  • 106.

    LiuPSunJW. Serological investigation on viral diarrhea and mucosal disease of dairy cows in Qian County, Shaanxi Province Farm Technology PC. Digest Magazine. (2014) 140.

  • 107.

    DongYSLiuXQLiHRWangYLuoZQTangWS. Serological investigation of bovine viral diarrhea / mucosal disease in Qinghai Province. Heilongjiang Anim Sci Vet Med. (2014) 667. 10.13881/j.cnki.hljxmsy.2014.0815

  • 108.

    HeMLZhangHRWangYWangYXWangYWTangC. Serological investigation on three viral diarrhea diseases of Yaks in Northwest Sichuan. Chung-kuo Hsu Mu Shou I. (2014) 41:24851.

  • 109.

    ShangYPLiuHZhangHLGaoMCZhangWLWangJW. Serological investigation of bovine viral diarrhea-mucosal disease on scale dairy farms in the Northeast China. Chung-kuo Yu Fang Shou I Hsueh Pao. (2013) 35:55961.

  • 110.

    HanZHQuanHHeXLWeiKFErdenizabu. Serological survey of viral diarrhea / mucosal disease and infectious rhinotracheitis in yaks. (2010) 18:569.

  • 111.

    MaJGCongWZhangFHFengSYZhouDHWangYMet al. Seroprevalence and risk factors of bovine viral diarrhoea virus (BVDV) infection in yaks (Bos grunniens) in northwest China. Trop Anim Health Prod. (2016) 48:174750. 10.1007/s11250-016-1118-2

  • 112.

    ZhangXJYangYLinHZhuGQ. Epidemiological survey of bovine viral diarrhea and infectious bovine rhinotracheitis in dairy herds of Jiangsu province. Chin J Vet Sci. (2018) 38:6976. 10.16303/j.cnki.1005-4545.2018.01.10

  • 113.

    LiuSQ. Serological investigation and analysis of cow viral diarrhea in some areas of Xinyang City, Henan Province. China Dairy. (2018) 546. 10.16172/j.cnki.114768.2018.11.016

  • 114.

    LuoRB. Tibet Bovine Viral Diarrhea Disease Epidemiology Investigation and Virus Isolation and Identification of Sequence Analysis. Lhasa: Tibet University (2017).

  • 115.

    QuPZhaoBLHuDMShiHCaoDSSongXH. Investigation on the prevalence of bovine viral diarrhea in Western China. Heilongjiang Anim Sci Vet Med. (2016) 1113. 10.13881/j.cnki.hljxmsy.2016.0487

  • 116.

    XieCFYuRSLiZZhangRHSiFSDongSJ. Epidemiological investigation on infectious rhinotracheitis and bovine viral diarrhea in large-scale dairy farms . China Dairy Cattle. (2015) 3841. 10.19305/j.cnki.11-3009/s.2016.04.0010

  • 117.

    ChenXL. Epidemiological survey on cattle disease in Sanming city. Fujian J Anim Husbandry Vet. (2016) 38:13.

  • 118.

    ChenFMChengGMMaAXHuSL. Serological investigation of bvd-md, IBR and TB in dairy cows in Weifang City and surrounding areas. Heilongjiang Anim Sci Vet Med. (2016) 1147. 10.13881/j.cnki.hljxmsy.2016.1593

  • 119.

    HuRLGuJT. Epidemiological investigation of bovine viral diarrhea in large-scale dairy farms in Suzhou. Chung-kuo Hsu Mu Shou I. (2016) 32:1156.

  • 120.

    ChengZLLiuPLiuSD. Epidemiological study on three common epidemics in large-scale cattle farms in Shandong. China Cattle Sci. (2016) 42:448.

  • 121.

    UddinMAAhasanASMLIslamKIslamMZMahmoodAIslamAet al. Seroprevalence of bovine viral diarrhea virus in crossbred dairy cattle in Bangladesh. Vet World. (2017) 10:90613. 10.14202/vetworld.2017.906-913

  • 122.

    LiuZYLiuZYLiZJGuoLiZhangJL. Investigation of BVDV, IBRV and BRSV infection in some cattle farms of Jilin Province. Anim Husb Vet Med. (2019) 51:1015.

  • 123.

    LiBLTaoJHuangZZhanTMaYLYuHFet al. Serological investigation of bovine viral diarrhea in a dairy farm. Shanghai J Anim Husbandry Vet Med. (2020) 402. 10.14170/j.cnki.cn31-1278/s.2020.04.015

  • 124.

    ZhaoN. Serological investigation and Study on cow viral diarrhea disease in Pingjibao area of Ningxia . Gansu Anim Vet Sci. (2020) 50:513. 10.15979/j.cnki.cn62-1064/s.2020.01.020

  • 125.

    LiuGS. Epidemiological Investigation and Prevention of IBR and BVD of Dairy Cows in Ningxia. Yinchuan: Ningxia University (2020).

  • 126.

    ShenYLCaiJSLiJHuGWWangXR. Serological investigation of bovine viral diarrhea mucosal disease in Yushu District of Qinghai Province. Chin J Anim Health Insp. (2011) 28:52.

  • 127.

    ErfaniAMBakhsheshMFallahMHHashemiM. Seroprevalence and risk factors associated with bovine viral diarrhea virus and bovine herpes virus-1 in Zanjan Province, Iran. Trop Anim Health Prod. (2019) 51:3139. 10.1007/s11250-018-1687-3

  • 128.

    GanFBLuoRBZhaxiCRBaimaSZZhaxiWJSuolangSZ. Serological detection and analysis of antibody to yak viral diarrhea in bange County, Tibet . Gansu Anim Vet Sci. (2020) 50:6870. 10.15979/j.cnki.cn62-1064/s.2020.10.020

  • 129.

    KangXDXieXLWuSRMaCBaiLJ. Serological investigation of viral diarrhea mucosal disease in dairy cows in Ningxia. Heilongjiang Anim Sci Vet Med. (2013) 901. 10.13881/j.cnki.hljxmsy.2013.04.036

  • 130.

    LeiCHGuoFLWeiLShuZLvCHHuangYBet al. Serological survey of bovine viral diarrhea-mucosal disease. Chin J Vet Med. (2013) 49:189.

  • 131.

    ZhangGWLiYHaoWFShiXT. Epidemiological investigation of cow viral diarrhea in Taiyuan area. China Dairy. (2013) 3942.

  • 132.

    YuanXJZhangYLiNZLiCMYangBFWangZLet al. Serological investigation of six major bovine infectious diseases in some areas of Southwest China [C] / / National Conference on bovine disease control and industrial development Huazhong Agricultural University; Laboratory of disease control function of national modern agriculture (beef / yak) industrial technology system (2013).

  • 133.

    LiuMY. Seroprevalence of Bovine Viral Diarrhea Infection in Yaks and BVDV Vaccine, Swine Fever Vaccine Immune Effects on Yaks. Wuhan: Huazhong Agricultural University. (2014).

  • 134.

    YueRCChengZLLiNLiuSD. Serological survey and analysis of bovine common infectiou ssome cattle farms in Shandong province. China Anim Health Insp. (2014) 31:5861.

  • 135.

    YaoW. Serologic study on bovine viral diarrhea in diary cattle from scale dairy farms in Liaoning. Modern J Anim Husbandry Vet Med. (2015) 3640. 10.3969/j.issn.1672-9692.2015.04.007

  • 136.

    AkagamiMSekiSKashimaYYamashitaKOyaSFujiiYet al. Risk factors associated with the within-farm transmission of bovine viral diarrhea virus and the incidence of persistently infected cattle on dairy farms from Ibaraki prefecture of Japan. Res Vet Sci. (2020) 129:18792. 10.1016/j.rvsc.2020.02.001

  • 137.

    SinghVMishraNKalaiyarasuSKhetanRKHemadriDSinghRKet al. First report on serological evidence of bovine viral diarrhea virus (BVDV) infection in farmed and free ranging mithuns (Bos frontalis). Trop Anim Health Prod. (2017) 49:114956. 10.1007/s11250-017-1310-z

  • 138.

    KatochSDohruSSharmaMVashistVChahotaRDharPet al. Seroprevalence of viral and bacterial diseases among the bovines in Himachal Pradesh, India. Vet World. (2017) 10:142126. 10.14202/vetworld.2017.1421-1426

  • 139.

    ChowdhuryMMRAfrinFSahaSSJhontuSAsgarMA. Prevalence and haematological parameters for bovine viral diarrhoea (BVD) in South Bengal areas in Bangladesh. Bangladesh Vet. (2015) 32:4854. 10.3329/bvet.v32i2.30610

  • 140.

    AsnakePLemmaATesfayeA.GizawDGutaSDimaCet al. Seroprevalence of Bovine Viral Diarrhea Virus (BVDV) and its associated risk factors in dairy cattle in and Around Assela Town, South East Ethiopia. Research Article. (2020) 10.21203/rs.3.rs-128860/v1

  • 141.

    TadesseTDenekeYDeresaB. Seroprevalence of bovine viral diarrhea virus and its potential risk factors in dairy cattle of Jimma town, southwestern Ethiopia. JDVAR. (2019) 8:117. 10.15406/jdvar.2019.08.00235

  • 142.

    DavesLYimerNArshadSSSarsaifiKOmarMAYusoffRet al. Seroprevalence of Bovine Viral Diarrhea Virus infection and associated risk factors in cattle in Selangor, Malaysia. Univ Putra Malaysia Institutional. (2016) 1:228. 10.17140/VMOJ-1-105

  • 143.

    ManandharSYadavGPSinghDK. Epidemiological survey of bovine viral diarrhea in dairy cattle in Nepal. OIE Bullet Newsfeed. (2018) 10.20506/bull.2018.NF.2860

  • 144.

    OlmoLDyeMTReichelMPYoungdJRNampanyaacSKhounsycSet al. Investigation of infectious reproductive pathogens of large ruminants: are neosporosis, brucellosis, leptospirosis and BVDV of relevance in Lao PDR?Acta Tropica. (2018) 177:11826. 10.1016/j.actatropica.2017.10.007

  • 145.

    Rodríguez-PrietoVKukielkaDRivera-ArroyoBMartínez-LópezBde las HerasAIet al. Evidence of shared bovine viral diarrhea infections between red deer and extensively raised cattle in south-central Spain. BMC Vet Res. (2016) 12:11. 10.1186/s12917-015-0630-3

  • 146.

    Segura-CorreaJCZapata-CamposCCJasso-ObregónJOMartinez-BurnesJLópez-ZavalaR. Seroprevalence and risk factors associated with bovine herpesvirus 1 and bovine viral diarrhea virus in North-Eastern Mexico. Open Vet J. (2016) 6:1439. 10.4314/ovj.v6i2.12

  • 147.

    GongQLGeGYWangQTianTLiuFDiaoNCet al. Meta-analysis of the prevalence of Echinococcus in dogs in China from 2010 to 2019. PLoS Negl Trop Dis. (2021) 2;15(4):e0009268. 10.1371/journal.pntd.0009268

  • 148.

    LvJJGaoLYShangHZ. Serological investigation of bovine viral diarrhea mucosal disease in Haixi District of Qinghai Province. Chin Qinghai J Anim Vet Sci. (2013) 43:35.

  • 149.

    HandelIGKimWFionaLBronwynKMorganKLTanyaVNet al. Seroepidemiology of bovine viral diarrhoea virus (BVDV) in the adamawa region of cameroon and use of the SPOT test to identify herds with PI calves. PLoS ONE. (2011) 6:e21620. 10.1371/journal.pone.0021620

  • 150.

    AntosARolaJBednarskiMKrzysiakMKLarskaM. Is contamination of bovine-sourced material with bovine viral diarrhea virus still a problem in countries with ongoing eradication campaigns?Ann Anim Sci. (2020) 21. 10.2478/aoas-2020-0056

  • 151.

    LotuffoZNBracamonte PérezMBHidalgo DíazMA. Seroprevalence of bovine viral diarrhea in milk producing herds at Barinas State, Venezuela. Rev Soc Ven Microbiol. (2013) 33:1628. Available online at: http://ve.scielo.org/scielo.php?script=sci_arttext&pid=S1315-25562013000200014&lng=en.

  • 152.

    SthlKAleniusS. BVDV control and eradication in Europe - an update. Jpn J Vet Res. (2012) 60(Suppl):S319. 10.14943/jjvr.60.suppl.s31

  • 153.

    NielsenLRHoueHNielsenSS. Narrative review comparing principles and instruments used in three active surveillance and control programmes for Non-EU-regulated diseases in the Danish cattle population. Front Vet Sci. (2021) 8:685857. 10.3389/fvets.2021.685857

  • 154.

    LindbergALAleniusS. Principles for eradication of bovine viral diarrhoea virus (BVDV) infections in cattle populations. Vet Microbiol. (1999) 64:197222. 10.1016/S0378-1135(98)00270-3

  • 155.

    PresiPStruchenRKnight-JonesTSchollSHeimD. Bovine viral diarrhea (BVD) eradication in Switzerland-experiences of the first two years. Chin J Prev Vet Med. (2011) 99:11221. 10.1016/j.prevetmed.2011.01.012

  • 156.

    GrahamDALynchMCoughlanSDohertyMLO'NeillRSamminDet al. Development and review of the voluntary phase of a national BVD eradication programme in Ireland. Vet Rec. (2014) 174:6767. 10.1136/vr.101814

  • 157.

    EzannoPFourichonCSeegersH. Influence of herd structure and type of virus introduction on the spread of bovine viral diarrhoea virus (BVDV) on the spread of bovine viral diarrhoea virus (BVDV) within a dairy herd. Vet Rec. (2008) 39:39. 10.1051/vetres:2008016

  • 158.

    LanyonSRHillFIReichelMPBrownlieJ. Bovine viral diarrhoea: pathogenesis and diagnosis. Vet J. (2013) 199:2019. 10.1016/j.tvjl.2013.07.024

  • 159.

    MoenASolJSampimonO. Indication of transmission of BVDV in the absence of persistently infected (PI) animals. Chin J Prev Vet Med. (2005) 72:938. 10.1016/j.prevetmed.2005.08.014

  • 160.

    HultLLindbergA. Experiences from BVDV control in Sweden. Chin J Prev Vet Med. (2005) 72:1438. 10.1016/j.prevetmed.2005.04.005

  • 161.

    RikulaUNuotioLAaltonenTRuohoO. Bovine viral diarrhoea virus control in Finland 1998-2004. Chin J Prev Vet Med. (2005) 72:13942. 10.1016/j.prevetmed.2005.08.010

  • 162.

    Van DuijnLSantman-BerendsIBiesheuvelMMarsJWaldeckFvan SchaikG. Why test purchased cattle in BVDV control programs?Front Vet Sci. (2021) 8:686257. 10.3389/fvets.2021.686257

  • 163.

    TokerEBAytoguGKadirogluBAtesOYesilbagK. Failure in dry period vaccination strategy for bovine viral diarrhea virus. Vet Microbiol. (2020) 247:108797. 10.1016/j.vetmic.2020.108797

  • 164.

    ScharnböckBRochFFRichterVFunkeCFirthCLObritzhauserWet al. A meta-analysis of bovine viral diarrhoea virus (BVDV) prevalences in the global cattle population. Sci Rep. (2018) 8:14420. 10.1038/s41598-018-32831-2

  • 165.

    MaCBLiuXPChenWWCuiLWangZSZhangZR. “Tow diseases” situation retrospective analysis of monitoring data in different cattle breeding patterns. China Cattle Sci. (2015) 41:535. Available online at: https://kns.cnki.net/kcms/detail/detail.aspx?FileName=BULL201505014&DbName=CJFQ2015

  • 166.

    YangY. Molecular Epidemiological Investigation of Bovine Leukemia Virus and Its Pathogenicity [D]. Yangzhou University (2018).

  • 167.

    NagayamaKOgumaKSentsuiH. Survey on vertical infection of bovine viral diarrhea virus from fetal bovine sera in the field. J Vet Med Sci. (2015) 77:15314. 10.1292/jvms.14-0556

  • 168.

    WangZY. Establishment of Multiplex PCR Detection Methods for Cow BVDV, Pm and Kp[D]. Baoding, HJ: Hebei Agricultural University (2019).

  • 169.

    CwrCMcdougallSHeuerC. Bovine viral diarrhoea virus in dairy cattle in New Zealand - studies on its prevalence, biologic and economic impact. Proc NZ Soc Anim Prod. (2006) 66:1627.

  • 170.

    WangJJLiuSPengRChenXCaoZJ. Calves and heifers management on China large-scale dairy farms: descriptive characteristics of disease and culling of dairy replacement. China Dairy Cattle. (2022) 616. 10.19305/j.cnki.11-3009/s.2022.02.014

  • 171.

    RamonALorenzoF. Descriptive study for culling and mortality in five high-producing Spanish dairy cattle farms (2006–2016). Acta Vet Scand. (2018) 60:45. 10.1186/s13028-018-0399-z

  • 172.

    VásquezNFRArgaizDVSilvaJPinoLJNgelMEO. Seropreval ence and risk factors of several bovine viral diseases in dairy farms of San Pedro de los Milagros, Antioquia, Colombia. Revista Ces Medicina Veterinaria Y Zootecnia. (2016) 11:1525. 10.21615/cesmvz.11.1.2

  • 173.

    KassayeABerhanuSGelagayAEysteinSGebremedhinEZKassahunA. Seroprevalence and factors associated with bovine viral diarrhea virus (BVDV) infection in dairy cattle in three milksheds in Ethiopia. Trop Anim Health Prod. (2018) 50:18217. 10.1007/s11250-018-1624-5

  • 174.

    McDougallS. Effect of calf age on bovine viral diarrhea virus tests. J Vet Diagn Invest. (2021) 33:52837. 10.1177/1040638721998821

  • 175.

    PerumalPSavinoNSangmaCTRChangSSangtamTZTKhanMHet al. Effect of season and age on scrotal circumference, testicular parameters and endocrinological profiles in mithun bulls. Theriogenology. (2017) 98:239. 10.1016/j.theriogenology.2017.04.049

  • 176.

    BáezFLópez DarriulatRRodríguez-OsorioNViñolesC. Effect of season on germinal vesicle stage, quality, and subsequent in vitro developmental competence in bovine cumulus-oocyte complexes. J Therm Biol. (2022) 103:103171. 10.1016/j.jtherbio.2021.103171

  • 177.

    IbbaRRiuFDeloguILupinuICarboniGLoddoRet al. Benzimidazole-2-Phenyl-carboxamides as dual-target inhibitors of BVDV entry and replication. Viruses. (2022) 14:1300. 10.3390/v14061300

  • 178.

    IzzoMMKirklandPDGuXLeleYGunnAAHouseJK. Comparison of three diagnostic techniques for detection of rotavirus and coronavirus in calf faeces in Australia. Aust Vet J. (2012) 90:1229. 10.1111/j.1751-0813.2011.00891.x

  • 179.

    BitschVRønsholtL. Control of bovine viral diarrhea virus infection without vaccines. Vet Clin North Am Food A. (1995) 11:62740. 10.1016/S0749-0720(15)30471-0

  • 180.

    WangJL. Epidemiological Investigation of Bovine Viral Diarrhea in Henan Province and Identification of Local Isolates[D].Zhengzhou, HY: Henan Agricultural University (2013).

  • 181.

    ChamorroMFPasslerTGivensMDEdmondsonMAWolfeDFWalzPH. Evaluation of transmission of bovine viral diarrhea virus (BVDV) between persistently infected and naive cattle by the horn fly (Haematobia irritans). Vet Res Commun. (2011) 35:1239. 10.1007/s11259-010-9453-7

  • 182.

    NegrónMRaizmanEAPogranichniyRHiltonWMLévyM. Survey on management practices related to the prevention and control of bovine viral diarrhea virus on dairy farms in Indiana, United States. Prev Vet Med. (2011) 99:1305. 10.1016/j.prevetmed.2010.12.008

  • 183.

    OLAFSONPMaccallumADFoxFH. An apparently new transmissible disease of cattle. Cornell Vet. (1946) 36:20513.

  • 184.

    LunardiMHeadleySALisbôaJAAmudeAMAlfieriAA. Outbreak of acute bovine viral diarrhea in Brazilian beef cattle: clinicopathological findings and molecular characterization of a wild-type BVDV strain subtype 1b. Res Vet Sci. (2008) 85:599604. 10.1016/j.rvsc.2008.01.002

  • 185.

    RidpathJF. Practical significance of heterogeneity among BVDV strains: impact of biotype and genotype on U.S. control programs. Prev Vet Med. (2005) 72:17–30; discussion 215–9. 10.1016/j.prevetmed.2005.08.003

Summary

Keywords

bovine viral diarrhea virus, cattle, meta-analysis, antigen prevalence, antibody prevalence, risk factors

Citation

Su N, Wang Q, Liu H-Y, Li L-M, Tian T, Yin J-Y, Zheng W, Ma Q-X, Wang T-T, Li T, Yang T-L, Li J-M, Diao N-C, Shi K and Du R (2023) Prevalence of bovine viral diarrhea virus in cattle between 2010 and 2021: A global systematic review and meta-analysis. Front. Vet. Sci. 9:1086180. doi: 10.3389/fvets.2022.1086180

Received

03 November 2022

Accepted

22 December 2022

Published

17 January 2023

Volume

9 - 2022

Edited by

Yasser Mahmmod, Higher Colleges of Technology, United Arab Emirates

Reviewed by

Ahmed N. F. Neamat-Allah, Zagazig University, Egypt; Andrea Verna, Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible (IPADS), Argentina; Vahid Rahmanian, Jahrom University of Medical Sciences, Iran

Updates

Copyright

*Correspondence: Kun Shi ✉ Rui Du ✉

†These authors have contributed equally to this work

This article was submitted to Veterinary Infectious Diseases, a section of the journal Frontiers in Veterinary Science

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics