ORIGINAL RESEARCH article

Front. Vet. Sci., 06 June 2025

Sec. Veterinary Epidemiology and Economics

Volume 12 - 2025 | https://doi.org/10.3389/fvets.2025.1445755

This article is part of the Research TopicSurveillance and Control of Wildlife Diseases: Integrating Ecology, Pathology, and Public HealthView all 6 articles

Community-based sustainable vector management strategies in rural areas of Zhejiang Province: criteria development and long-term impact assessment of vector control toward “Four Pest-Free Village” pilot program

Jinna Wang&#x;Jinna Wang1Jun Xia&#x;Jun Xia2Wenrong ZhangWenrong Zhang3Tianqi LiTianqi Li1Mingyu LuoMingyu Luo1Qinmei LiuQinmei Liu1Junxiang GuoJunxiang Guo2Jimin Sun
Jimin Sun1*Zhenyu Gong
Zhenyu Gong1*Jianmin Jiang
Jianmin Jiang1*
  • 1Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
  • 2Zhejiang Patriotic Health Development Center, Hangzhou, China
  • 3Hangzhou Medical College, Hangzhou, China

Objectives: This study aimed to develop the relevant criterion of pilot program of the “Four Pest-Free Village”(FPFV) and to further investigate the effects on vector control in Zhejiang Province.

Methods: The criterion of the FPFV was developed based on actual pilot experience and expert consultations. Vector density surveillance was conducted in all 11 prefecture-level cities of Zhejiang Province, including two FPFV and two control villages for each city. The CDC light trap method and Breteau Index (BI) method were used to monitor the density of mosquito. The fly trap method, night trapping method, and sticky board method were used to monitor the density of fly, rodent, and cockroach, respectively. Surveillance for mosquitoes and flies was conducted monthly from April to November 2023. Rodent and cockroach monitoring was conducted every odd month. Kruskal–Wallis test was used for data analysis.

Results: The FPFV evaluation covered village organization management, health education, vector integrated control method, vector surveillance, and vector density control levels. A village could be named FPFV if the whole scored over 80 points. The Culex pipiens pallens (91.03%) was major species of mosquitoes; the total BI was 14.25; the Sarcophagidae (31.97%) and Musca domestica (31.41%) were major species of flies; the Rattus norvegicus (38.56%) was major species of rodents; the Blattella germanica (65.68%) was major species of cockroaches in rural areas of Zhejiang Province. All the vector densities investigated in the FPFV were lower than controls, including the adult mosquitoes (2.32 vs. 4.87 mosquitoes per trap-night), mosquito larvae (BI: 9.70 vs. 19.41), flies (1.32 vs. 2.17 flies per trap), rodents (0.41 vs. 0.84 rodents per 100 trap-nights), and cockroaches (the cockroach capture rate: 1.77% vs. 5.87%), and all the results were statistically significant (p ≤ 0.05).

Conclusion: The findings from this study indicated that the FPFV was suitable for rural areas, and the method of sustainable vector management strategies was practical and reliable. Vector density in the FPFV could be controlled at a low level for a relatively long time than control village, which could greatly reduce the harassment of vector species on the population and the spread of related diseases.

Introduction

The mosquito, fly, rodent, and cockroach, commonly known as the “four pests” in China (1), can affect people’s health by harassing people and spreading related diseases (24). Research found that more than 80% of the global population were at risk of vector-borne disease, in which mosquito-borne disease was the largest contributor to human vector-borne disease burden (5). Mosquito could transmit chikungunya, dengue, Japanese encephalitis, malaria, West Nile, yellow fever, Zika, etc. (6). Rodents could transmit several bacterial and viral infectious diseases such as hemorrhagic fever with renal syndrome, leptospirosis, and plague (7). The fly and cockroach played an important role in the mechanical transmission of the food-borne pathogens, including Salmonella spp., Escherichia coli O157: H7, and Shigella spp., resulting in increased risk of diarrheal disease (8, 9). Zhejiang Province is located in the southeast of China, with the subtropical monsoon climate, which is suitable for the survival of vectors, especially the “four pests,” always has a long-term prevalence of vector-related infectious diseases and an extremely high vector-borne infectious disease burden. For example, during 2004 to 2018, a total of 1,654 indigenous dengue cases and 12 outbreaks were reported in Zhejiang Province (10). The direct and indirect economic burdens of dengue patients were estimated at USD 405,038 and USD 140,364, respectively, while the total annual cost for the government and organizational sectors to prevent and control dengue fever was estimated to be USD 7,075,654 in 2019 of Zhejiang Province (11). The positive detection of dengue virus in mosquito specimens collected during the dengue fever outbreak in Zhejiang Province highlights the crucial role of mosquito surveillance in the prevention and control of dengue fever (12). Similarly, among rodent samples collected in Zhejiang Province in 2022, the positive rates were 12.28% for Leptospira, 1.00% for hantavirus, and 0.15% for Orientia tsutsugamushi (13). This indicated that rodent-borne diseases in Zhejiang Province were in a relatively severe situation. Thus, prevention and control of the “four pests” epidemic was of great significance to reduce the occurrence of related infectious diseases.

In recent years, with the development of the Patriotic Health Campaign in China, the density of the “four pests” had been sharply decreased. However, it was relatively lagging behind in the rural areas, with a large number of vector breeding ground and a relatively high vector density (14). From this perspective, the vector management strategies in rural areas through economic and effective ways should always been a focus. From 2016, the Zhejiang Provincial Center for Disease Control and Prevention (CDC) began to explore a rural mosquito sustainable control model with local characteristics of southern parts of China, known as the “Mosquito-Free Village” (15). On this basis, the pilot of the “Fly-Free Village” was carried out to explore the sustainable control technologies for the fly in rural areas in 2019 (16). The successful pilot projects provided a good idea for the sustainable control technology of the “four pests” in rural areas. From 2020, Zhejiang CDC began to promote the pilot projects of the “Four Pest-Free Village” (FPFV) (17), with the support from Zhejiang Patriotic Health Campaign Committee office. The FPFV was a series of villages, where the density of the “four pests” was persistently controlled at an extremely low level, without disturbing human’s life and reducing the occurrence of infectious diseases related to these vectors. Focusing on improving the living environmental condition of rural residents and further consolidating the foundation of rural vector disease prevention and control had become one of the important strategies to promote the patriotic health movements in rural areas of China.

By the end of 2023, the pilot program of the FPFV in Zhejiang Province had been persistent for 4 years, and the FPFV had reached a huge number. It had formulated a relatively mature evaluation system after constant adjustments and experiments, which put a positive effect on the density control of the “four pests” (18). In this study, we summarized the pilot experience and developed the relevant standards for the evaluation of the FPFV. A sampling survey was also adopted in 2023 to monitor the vector density in the FPFV and the control villages, to evaluate the actual long-term vector control effects.

Materials and methods

The pilot method of the FPFV

The vector control work organization was established. The role of communities was fully leveraged in the sustainable control of the vectors, and a rural vector control work organization was established under the leadership of the village committee. The work organization should formulate plans including the responsibilities of participants, vectors surveillance and control methods, evaluation of the control effects, and health education for the villagers.

Health education. The vector control work organization or the volunteer team trained the villagers by means of health lectures, on-site demonstration, posting slogans, leaflets, online chat group, and other interactive methods, to enhance the villagers’ health literacy of scientific vector control.

Vector control. The work organization mobilized the villagers to participate in the activities of vector control, advocating for comprehensive control measures that focus on environmental control methods, combining physical and biological control methods, and chemical control methods if necessary. Environmental control methods mainly included thoroughly carrying out village sanitation cleanup, implementing road hardening, rectifying green belts, and clearing indoor and outdoor clutter without leaving any hygiene neglected area; turning over pots and cans, placing ground containers such as wine bottles and earthenware jars indoors or covering them, changing the water weekly, or removing any standing water from containers for aquatic plants and trays under potted landscapes; properly handling garbage, with easily decomposable waste being collected separately and processed daily; and always covering food for storage, or other effective environmental sanitation measures. Physical control mainly involved using devices such as mosquito light traps, fly traps, mousetraps, and cockroach sticky traps to eliminate the “four pests,” improving facilities by sealing gaps in walls, and installing floor drains, rat guards, and rodent-proof nets in key areas such as kitchens and storerooms, as well as fitting windows and doors with screens, or employing other barrier methods such as ultrasonic repellents and electric grids to prevent the entry of these pests. Biological control mainly includes raising fish such as Gambusia affinis, Cyprinus carpio, or Cobitis taenia in village water bodies or paddy fields for mosquito control, raising cats for rodent control, and employing biocontrol agents such as Bacillus thuringiensis israelensis (Bti) and B. sphaericus for mosquito control. Chemical control was generally not recommended in the FPFV. However, it was still necessary for breeding sites that were difficult to clean or when other control measures failed to achieve satisfactory results. Pyrethroid insecticides such as permethrin, beta-cypermethrin, and deltamethrin, as well as a few carbamate insecticides and organophosphorus insecticides, were recommended for the control of adult mosquitoes and flies. Organophosphorus insecticides such as temephos, in combination with insect growth regulators such as pyriproxyfen and S-methoprene, were recommended for the control of mosquito larvae. For cockroach control, gel baits containing insecticides such as fipronil, dinotefuran, and imidacloprid were recommended. For rodent control, anticoagulant rodenticides such as bromadiolone and brodifacoum were recommended as baits.

A long-term mechanism was established for density monitoring and control. It was recommended to conduct routine breeding site cleaning work once a week. During the active seasons for mosquito and fly (April to November in Zhejiang Province), the mosquito and fly density monitoring should be carried out once a month. Cockroach and rodent monitoring should be conducted once every odd-numbered month throughout the year. Vector control work should be carried out in combination with density monitoring work. For months with abnormal increases in vector density, it was suggested to widely mobilize the villagers to carry out thorough control efforts. The scope of vector control covered the village and its surrounding area within 50–100 meters, which would be ultimately determined based on the specific environment around the village. The vector density indicators were mainly referred to the “mosquito-free village” (15), the “fly-free village” (16), and the National Standard of the People’s Republic of China (PRC) (1922).

Effect evaluation. In accordance with the principles of voluntariness, self-construction, and self-management, the role of the community was fully leveraged, and the village committee decided on its own whether to carry out FPFV. Villages that intended to establish FPFV needed to conduct a self-assessment of the effectiveness after implementing a series of measures, including establishing organizations, mobilizing villagers, conducting health education, and carrying out vector surveillance and control. If the self-assessment met the requirements, they could apply for FPFV assessment. The patriotic health department organized more than three experienced vector control experts to conduct on-site assessments in the year after the application was submitted.

Criterion of the FPFV

The evaluation of the FPFV should encompass five aspects, namely, village organization management, health education, integrated vector control methods, vector surveillance, and vector density control levels. The experienced experts were invited to conduct and score the on-site assessments according to the criterion of the FPFV (Table 1). According to the criterion entitled “Guide of sustainable control and prevention of vectors in rural areas-the four pests” (18), and considering the actual pilot experience and expert consultations, a score of 80 points was explicitly established as the threshold for evaluating the effectiveness of FPFV. If the overall score was above 80 points, then it could be named the FPFV.

Table 1
www.frontiersin.org

Table 1. Criterion of the FPFV.

The vector density control level of the FPFV

The vector density control levels of the FPFV are as follows. The mosquito density control index: BI <5.0; route index ≤0.5 (Route index method); landing index ≤0.5 (Landing index method). The fly density control index: fly density ≤0.5 flies/cage (Fly trap method); route index ≤0.5 (Route index method). The rodent density control index: the rodent density ≤1.0 per 100 trap-nights (Night trapping method); indoor rodents trace positive rate ≤3.0% (Rodents trace method); external environment route index ≤3.0 (Route index method). The cockroach density control index: the cockroach capture rate ≤1.0% (Sticky boards method). The infestation rate of adult cockroach was less than 1.0%, the detection rate of cockroach ootheca was ≤1.0%, and cockroach trace detection rate was ≤3.0% (visual inspection method).

The long-term vector density control effect evaluation of the FPFV

To observe the long-term control effects on the pest density, the density surveillance was conducted in all the 11 prefecture-level cities of Zhejiang Province, namely, Ningbo, Wenzhou, Lishui, Taizhou, Quzhou, Zhoushan, Huzhou, Jiaxing, Shaoxing, Jinhua, and Hangzhou city, including all the habitat types encompassing mountains, hills, plains, basins, and islands to avoid selection bias from different regions. Two villages were selected from those that had been assessed and designated as FPFV by government agencies for at least 1 year in each city. In the same city or district, the principle of 1:1 matching was applied to select the control village (Figure 1). To avoid interference from other factors, the control village should be matched with the experimental village in terms of geographical area, landscape type, habitat type, village size, number of households, population size and demographics, infrastructure, socioeconomic status, ecosystem characteristics, and meteorological conditions. These detailed match measures would ensure that the control and experimental villages were comparable in key aspects, thereby minimizing potential confounding influences and providing a more robust basis for analysis. In addition, the control village should not have undergone any intervention of FPFV. To ensure that there are sufficient sample households for the monitoring of mosquitoes, flies, rodents, and cockroaches, all villages must meet the requirements of having more than 300 households and a permanent population greater than 1,000 people. According to the Law of the People’s Republic of China on Prevention and Treatment of Infectious Diseases, we have reviewed the National Notifiable Disease Surveillance System and confirmed that there were no vector-borne infectious diseases reported in the villages during the past 2 years.

Figure 1
www.frontiersin.org

Figure 1. Distribution of sampled villages in Zhejiang Province.

Zhejiang Province has a typical subtropical monsoon climate, characterized by moderate temperatures, abundant precipitation, and distinct seasons, which are highly conducive to the survival and reproduction of vector organisms. Therefore, in selecting the monitoring time for this study, local climatic conditions and the seasonal fluctuations in vector population densities were taken into consideration. The monthly meteorological data were obtained from the National Tibetan Plateau Data Center. Given the relatively low temperatures in winter in Zhejiang Province, which result in extremely low densities of mosquitoes and flies, the monitoring period for these pests was set from April to November in this study, with one monitoring session conducted each month. The surveillance of rodents and cockroaches was conducted from January to December, once every odd-numbered month, with at least six times a year. All monitoring activities were scheduled to take place in the middle of each monitoring month and would be postponed in case of rainy or windy weather. All the vectors captured were taken to the laboratory, and identification was performed under the stereo microscope according to the dichotomous key or detection images (23). Among them, adult mosquitoes were additionally subjected to sex identification, and the number of female mosquitoes was recorded.

Mosquito surveillance methods. In the process of mosquito surveillance, different monitoring methods exhibit certain selectivity toward mosquito species. Since Culex and Aedes genus mosquitoes are the dominant species in Zhejiang Province, the surveillance primarily focuses on these two types of mosquitoes. Adult mosquito surveillance used the CDC light trap methods, mainly for the surveillance of the mosquitoes of the Culex genus. The places far away from the interfering light sources and sheltered from wind were chosen as the surveillance sites, and two mosquito light traps were placed 1.5 m above the ground and left overnight in each village. The power supply was connected and the CDC light trap was turned on 1 h before sunset to capture mosquitoes, and it remained on until 1 h after sunrise the next day. Mosquito larvae surveillance used the Breteau Index (BI) method, for the surveillance of the Aedes genus mosquitoes. At least 50 households in each village were selected, distributed across the four cardinal directions (east, south, west, and north), and all the containers in or around the houses were examined for the Aedes larvae mosquitoes. Mosquito surveillance was conducted in the middle of each month, and if there was rain or strong winds, the specific monitoring time would be postponed.

Fly surveillance methods. Two fly traps with the bait of brown sugar, vinegar, and water (50 g + 50 g + 50 mL) were placed in each village, mainly in the green belts, dining environments, residential areas, agricultural markets, or locations where flies were likely to occur due to the abundant presence of organic matter or food sources. The traps were arranged before 9:00 a.m. in the morning on the first day and collected in 9:00 a.m. the next day.

Rodent surveillance methods. The night trapping method was used for the rodent surveillance. The medium mouse traps were distributed every 15 m2 indoors or every 5 meters along the wall root in rooms over 100 m2, and no less than 25 households were selected in each village. All the traps were placed at dusk and taken back in the next morning.

Cockroach surveillance methods. At least 50 cockroach sticky boards with 2 grams of fresh bread were placed in the farmers’ kitchen, dining room, food storage room, or locations where cockroaches were likely to occur due to the abundant presence of organic matter or food sources in each village, which were placed in the evening and collected in the next morning.

Statistical analysis

The adult mosquito density was calculated as the number of female mosquitoes caught per trap-night. The mosquito larvae density used the BI, which was calculated as the number of positive containers for Aedes larvae per 100 households. The density of the flies was calculated as the number of flies per trap. The rodent density was estimated as the number of rodents caught per hundred trap-nights. The cockroach capture rate was estimated as the percentage of the positive sticky board (%). The cockroach density was estimated as the number of cockroaches caught per sticky board. All the descriptive statistics were performed using the R version 4.0.2 (The R Foundation for Statistical Computing). The normality test was performed for the mosquito, fly, rodent density, and the cockroach capture rate, in which the findings showed all the data did not satisfy the normal distribution. Thus, the Kruskal–Wallis test was used for the density comparison, with a p-value of ≤0.05 considered to be statistically significant.

Results

Results of the long-term vector density control effect

By the end of 2023, the FPFV in Zhejiang Province had reached over 900 villages, and a large number of rural residents had benefited, which was a beneficial exploration in the sustainable control of vectors in rural areas. During the study period in 2023, the temperature range in Zhejiang Province was 4.39°C to 30.00°C for the rodent and cockroach surveillance period and 11.38°C to 30.00°C for the mosquito and fly surveillance period from April to November. The relative humidity typically varied between 64.60 and 92.08%. A total of 42 villages were included in the analysis of the adult mosquito density, including 21 FPFV and 21 control villages. Overall, 698 light traps were placed in the survey villages, and 4,728 adult mosquitoes were trapped, including 2,520 female mosquitoes, with the total density of 3.61 mosquitoes per trap-night. The mosquito density of the FPFV was 2.32 mosquitoes per trap-night, which was lower than the control villages (4.87 mosquitoes per trap-night). For different mosquito species, Culex pipiens pallens (Cx. p. pallens) was the major species, which account for 91.03% of the captured mosquitoes, followed by Aedes albopictus (Ae. albopictus, 5.67%), Culex tritaeniorhynchus (Cx. tritaeniorhynchus, 1.96%), Armigeres subalbatus (A. subalbatus, 0.93%), and Anopheles sinensis (An. sinensis, 0.34%). For different cities, Zhoushan city had the highest mosquito density (8.81 mosquitoes per trap-night), followed by Jinhua city (5.48 mosquitoes per trap-night). Except for Zhoushan city, the mosquito densities in the FPFV were all lower than the control villages in the other 10 cities of Zhejiang Province, and a large density gap was appeared in Jinhua city and Jiaxing city (Table 2).

Table 2
www.frontiersin.org

Table 2. Adult mosquito density in the villages of Zhejiang Province in 2023.

A total of 41 villages were included in the analysis of the Aedes larvae density, including 21 FPFV and 20 control villages. A total of 11,310 water bodies in 16,283 households were monitored, and 2,320 water bodies were found Aedes larvae positive, with the total BI of 14.25. The BI of the FPFV was 9.70, which was obviously lower than that of the control villages (BI: 19.41). The small idle containers (36.00%) and the water deposits aquatic plants (35.77%) were the most common types of water bodies in the rural areas of Zhejiang Province. In the Aedes larvae positive water bodies, the small idle containers accounted for the highest proportion (54.87%). For different cities, the BI of Jinhua city was the highest (BI: 30.38). The BI of the FPFV was lower than the control villages in most of the cities in Zhejiang Province. The BI meet the criterion (BI < 5) in all the FPFV investigated in Jiaxing and Shaoxing city (Table 3).

Table 3
www.frontiersin.org

Table 3. Aedes larvae density in the villages of Zhejiang Province in 2023.

A total of 706 fly traps were distributed in 43 villages, including 21 FPFV and 22 control villages, and 1,248 flies were captured, with the total fly density of 1.77 flies per trap. The fly density of the FPFV (1.32 flies per trap) was lower than the control villages (2.17 flies per trap). The species of the Sarcophagidae family (31.97%) and Musca domestica (M. domestica, 31.41%) were the most common species in the rural areas of Zhejiang Province. For different cities, the fly density of Hangzhou city (4.62 flies per trap) was relatively high. The fly density of the FPFV was lower than the control villages in most of the cities in Zhejiang Province, except for Hangzhou and Zhoushan city (Table 4). For the standard of the FPFV, the fly density meet the criterion (adult fly density ≤0.5 flies/cage) in all the villages investigated in Wenzhou, Jiaxing, and Jinhua city.

Table 4
www.frontiersin.org

Table 4. Fly density in the villages of Zhejiang Province in 2023.

A total of 24,405 mousetraps were distributed, and 153 rodents were captured in 42 villages, including 22 FPFV and 20 control villages, with the rodent density of 0.63 rodents per 100 trap-nights. Rodent density of the FPFV was lower than the control villages. Rattus norvegicus (R. norvegicus) was the most common species (38.56%) in the rural area of Zhejiang Province, followed by Rattus flavipectus (R. flavipectus, 17.65%). No rodent was observed in the FPFV investigated in six cities, namely, Ningbo, Taizhou, Huzhou, Jiaxing, Shaoxing, and Hangzhou. Except for Lishui, Zhoushan, and Jinhua, the other cities all meet the rodent criterion of the FPFV (the rodent density ≤1.0 per 100 trap-nights) (Table 5).

Table 5
www.frontiersin.org

Table 5. Rodent density in the villages of Zhejiang Province in 2023.

A total of 10,122 sticky boards were distributed, and 673 cockroaches were captured in 38 villages (19 FPFV and 19 control villages), with the cockroach density of 0.07 cockroaches per sticky board, and cockroach capture rate was 3.83%. The cockroach density and cockroach capture rate in the FPFV (0.03 cockroaches per sticky board, 1.77%) was lower than the control villages (0.10 cockroaches per sticky board, 5.87%), respectively. The Blattella germanica (B. germanica, 65.68%) was the most common species in the villages of Zhejiang Province, followed by Periplaneta americana (P. americana, 18.42%) and Periplaneta fuliginosa (P. fuliginosa, 15.90%). The cockroach capture rate in the FPFV of Ningbo, Lishui, Zhoushan, and Jiaxing city meet the cockroach criterion (the cockroach capture rate ≤1.0%) (Table 6).

Table 6
www.frontiersin.org

Table 6. Cockroach density in the villages of Zhejiang Province in 2023.

Density comparison

As shown in Table 7, all the densities investigated in the FPFV were significantly lower than the control villages, including the adult mosquitoes, the Aedes larvae, the flies, the rodents, and the cockroaches (all p < 0.05).

Table 7
www.frontiersin.org

Table 7. Results of the density comparison between the FPFV and the control villages.

Discussion

In recent years, with the process of rural revitalization program (24) in China, the improvement of the infrastructures and hygiene conditions provided a good opportunity for the prevention and control of the vectors in rural areas. Since the first “Mosquito-free village” began to pilot in Zhejiang Province in 2016 (15), the sustainable vector management strategies in rural areas had been practiced. By the end of 2023, more than 900 FPFV had been successful certified, benefiting thousands of rural residents. The major intention of the FPFV was that the density of the “four pests” could be controlled at an extremely low level by sustainable vector control measures, without spreading related infectious diseases and harassing people’s lives (17). However, it did not mean that no single vector could be tolerated in the villages, which was unrealistic and unsustainable. The effectiveness had been fully recognized by the local governments and the rural villagers, which had greatly improved the overall hygiene conditions of local villages, as well as increased the awareness of relevant disease prevention of local residents (25).

Based on the intention of the FPFV, formulation of the criterion was mainly aimed at improving the villages’ hygiene condition and relevant disease prevention. To ensure the authority and accuracy of the evaluation indicators, the density control indicators for mosquito, fly, rodent, and cockroach were mainly referred to the PRC National Standard such as criteria for vector density control—rodent, mosquito, fly, and cockroach (1922). In addition, part of the vector control standards were based on the disease prevention and control needs. Research found that the BI value of 5 served as the lowest threshold, and where the BI value was > 5 with reported dengue cases or BI was > 20 even without any dengue case, control measures should be taken for the mosquito control (26), so the BI in the criterion was set to less than 5. Relevant study suggested that the rodent density controlled below 1.0 rodents per 100 trap-nights could effectively control the risk of hemorrhagic fever with renal syndrome (27), which was included in the development of the rodent density indicators in our criterion. Except for the evaluation of the “four pest” density, the overall environment of the village, the village organization management, the health education, the vector integrated control methods, the vector surveillance, etc. were all included in the evaluation criterion of the FPFV (18, 28). After all, the density control of the “four pests” was a long-term process, which required the enthusiasm of villagers to develop good hygiene habits and participating enthusiasm. All these indicators were set and assigned a certain score, and the overall score of the village investigated above 80 points could be named the FPFV. So, the vector density index was not the only index for the FPFV evaluation, which could ensure the participation of the rural residents and the sustainability of the whole project. Overall, the criterion could meet the evaluation requirements of the FPFV, but with the continuous progress, the index might need to be continuously updated.

The surveillance results found that the total vector densities of mosquito, fly, rodent, and cockroach investigated in the FPFV were all lower than the control villages, which indicated a significant vector control effect. The mosquito density control in the FPFV was highly effective, in which the adult mosquito density and mosquito larvae density were all reduced over 50% than the controls. The surveillance results found that Cx. p. pallens was the major species in the rural area of Zhejiang Province, which account for 91.03% of the captured mosquitoes by the CDC light trap method. Due to the limitations of the adult mosquito surveillance method we used, the CDC light trap method was not particularly sensitive to the Ae. Albopictus. However, mosquitoes of the Culex genus and Ae. Albopictus were the dominant mosquito species in Zhejiang Province (29). Therefore, mosquito monitoring and control efforts in Zhejiang Province had primarily been focused on these two types of mosquitoes. Due to the different ecological habits of these two types of mosquitoes, there is currently no single mosquito monitoring method that can effectively monitor the densities of both types of mosquitoes simultaneously. Thus, the BI method was added in our research for the monitoring of the Aedes mosquitoes. The total BI of the FPFV was 9.70, which was obviously lower than that of the control villages (BI: 19.41), but it was higher than the criterion (BI < 5). The results indicated that although the mosquito density in FPFV was significantly lower than that in the control villages, it was challenging to maintain the “mosquito-free” standard in the long term in some FPFV. Further analysis found that the small idle containers and the flowerpot water were the most common types of water bodies in the rural areas, and the small idle containers accounted for the highest positive proportion (54.87%). For the living habits of rural residents, a large number of water containers were existed around the house of the residents, which might be the reason for the high density of the Aedes larvae in rural area (14). Meteorological factors, particularly the temperature and relative humidity, have been reported to have substantial impacts on vector organisms. To minimize the potential confounding effects, we carefully considered these factors in our study design. Specifically, we applied the principle of 1:1 matching to select control villages within the same city or district as the experimental villages. This matching was based on several criteria, including meteorological factors, to ensure comparability between the experimental and control sites. In addition, in selecting the monitoring time for this study, we took into account of the local climatic conditions and seasonal fluctuations in vector population densities. Mosquito surveillance was conducted in the middle of each month. However, if there is rain or strong wind, the monitoring time will be postponed to avoid biased results due to adverse weather conditions. These measures were taken to ensure that the density data collected were as representative as possible.

For the fly surveillance, the species of Sarcophagidae family and M. domestica were the major species in the rural areas, which was basically consistent with the study of Wu et al. (30). In our study, the species of Sarcophagidae family was identified only at the family level. This family is highly diverse and complex, with many species sharing similar ecological habits and disease transmission potential. Given the challenges in differentiating individual species within this family, and considering that their monitoring and control methods are largely similar, we adhered to the standardized protocol implemented by the Chinese CDC since 2016 (31). This protocol focuses on broader ecological and public health implications rather than individual species differentiation and thus does not require identification of Sarcophagidae beyond the family level. The fly density control in the FPFV was also effective, and the fly density of the FPFV was lower than the control villages in most of cities in Zhejiang Province. Our results showed that the pilot experience of the FPFV in rural areas had provided a good opportunity for the breeding areas removal and density control of the mosquito and fly. It indicated the environmental governance combined with certain physical or biological control measures could control the density of the mosquito and fly at a relatively lower level.

Due to the presence of the external environment such as farmland in the rural areas, the rodent density control remained a difficult issue. The comprehensive rodent control measures including environmental management measure, physical control measure, and chemical control measure were all used in the FPFV. Practices proved that these measures were scientifically effective, and the rodent density of the FPFV was lower than the control villages. No rodents were observed in the FPFV in six cities, namely, Ningbo, Taizhou, Huzhou, Jiaxing, Shaoxing, and Hangzhou. Except for Lishui, Zhoushan, and Jinhua city, the other cities all meet the rodent criterion of the FPFV. R. norvegicus was the major species, followed by R. flavipectus, which was slightly different from previous studies in Zhejiang Province (29). An ongoing surveillance study in Zhejiang Province found that R. norvegicus was the major species, followed by M. musculus, S. murinus, and then R. flavipectus (13). This study only included the rural residential area as the habitat, and the slight difference might be due to the difference of the habitats investigated. The cockroach control in rural areas was also a major concerning problem, which could also focus on environmental control, combining physical and biological control, and taking appropriate chemical control measures. Practices had proved that the effect of this measure was remarkable, and the cockroach density and cockroach capture rate in the FPFV were lower than the control villages. Study found that the infestation trend of B. germanica was increasing (32), and our research found that B. germanica was one of the most important cockroach species to be controlled in rural areas, which accounted for 65.68% of the cockroaches captured. Although using symbiotic microorganisms for the biological control of the cockroach was found (33), it was difficult to large-scale promotion and use. The B. germanica had strong reproductive ability, adaptability, and resistance to certain insecticides, so the cockroach control in rural areas remained a challenge, and only four cities investigated all meet the criterion of the FPFV.

All the pest surveillance results showed that the densities of mosquitoes, flies, rodents, and cockroaches in the FPFV were all lower than those in the control villages, while the pest densities in some villages cannot consistently met the FPFV criterion in long term. There might be several reasons for this. One reason was that during the evaluation of FPFV, the scoring mechanism requires only 80 points to pass, which allows some flexibility in the control level of pest densities. The most likely reason was that, despite a significant increase in community engagement after being designated as a FPFV, the importance of pest control in these villages gradually decreased over time. Therefore, to sustain low pest densities in FPFV, continuous and active community participation was necessary. While chemical insecticides can rapidly reduce the density of the “four pests” to a low level, this method is not sustainable. Chemical control is highly specialized, difficult for villagers to master, and also expensive. Only by enhancing the participation of the villagers, combining daily organizational management and vector density monitoring work, could the density of the “four pests” be continuously controlled at a relatively low level. A questionnaire survey was conducted in 2021 in Zhejiang Province, which found that 98.92% of the villagers investigated support the pilot program of the FPFV, 99.46% of the villagers were satisfied with the pilot effect, and 98.39% of the villagers expressed their willingness to cooperate with the pilot of the FPFV (25). It indicated that the FPFV pilot methods and related standards were approbatory by the local government and villagers. The FPFV was an innovative and effective work of the patriotic health movement in rural areas.

Our study had several strengths. This is one of the few studies that systematically described a new exploration on sustainable vector management strategies in rural areas of Zhejiang Province, namely, FPFV, and summarized the pilot experience, the relevant criterion, and the long-term actual vector density control effect. In addition, this study is representative in Zhejiang Province with the monitoring sites we selected which covered all the 11 prefecture-level cities. Meanwhile, several limitations of this study should be acknowledged. First, the CDC light trap method was used to investigate the adult mosquito density, while the criterion of FPFV used the landing index method to evaluate the adult mosquito density. Thus, it was unclear whether the adult mosquito density of FPFV met the criterion. Second, this study lacked the investigation and analysis of villagers’ cognition and satisfaction for the FPFV. Although the villagers’ awareness and satisfaction had been assessed before FPFV was named, whether it has long-term effects remains to be seen and needs to be further explored in future studies. Third, the study’s evaluation was based on a limited sample, raising concerns about the generalizability of the findings to broader rural areas of Zhejiang Province and other regions with different ecological and socioeconomic contexts. In addition, the primary outcome measure was vector density, but other analyses were lacking. Specifically, the study did not compare results with baseline data or analyze the impact of meteorological factors, which would have provided a more comprehensive understanding of changes over time. Moreover, pathogen detection was not performed on the collected vector specimens, especially blood-feeding mosquitoes, and the indicator of vector-borne diseases incidence was not assessed. This limited the evaluation of their potential role in disease transmission and the impact on human health. Future research should adopt uniform methods and expand the sample size to improve the reliability and applicability of the findings. Meanwhile, incorporating baseline data comparisons, meteorological factor analyses, and assessments of vector-borne disease incidence, as well as employing molecular biological techniques for pathogen detection, would contribute to a more thorough evaluation.

Conclusion

The findings suggested that the community-based sustainable control method of vectors, namely, the FPFV, is relatively practical and reliable and also is suitable for the rural villages. The pilot projects focused on the problems of vector organisms in rural areas and carried out sustainable vector control activities through scientific means adhering to the principles of green, economic, and sustainable. Through a series of measures such as village organization management, health education, villagers mobilization, breeding ground clearance, vector control, and vector density evaluation, the vector density in the village can be controlled at an extremely low level for a long time, greatly reducing the harassment of vector species on the population and the spread of related diseases.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The manuscript presents research on animals that do not require ethical approval for their study. This study was carried out in accordance with the “Declaration of Helsinki,” and the verbal consents were obtained and approved by the Ethics Committee of Zhejiang CDC. The ethics committee approved the procedures for verbal consent because Zhejiang CDC has the authority of the Zhejiang provincial government to collect the related information, which is part of the disease surveillance work. This research mainly involved the density of wild rodents, mosquitoes, flies, and cockroaches, and documentation of consent was not required. The manuscript presents research on animals that do not require ethical approval for their study.

Author contributions

JW: Writing – original draft. JX: Writing – review & editing. WZ: Writing – review & editing. TL: Writing – review & editing. ML: Writing – review & editing. QL: Writing – review & editing. JG: Writing – review & editing. JS: Writing – review & editing. ZG: Writing – review & editing. JJ: Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Zhejiang Medical and Health Technology Project (nos. 2024KY889 & 2025KY773), the Key Program of Health Commission of Zhejiang Province/Science Foundation of National Health Commission (WKJ-ZJ-2523), Key Grants of Department of Science and Technology of Zhejiang Province (2024C03216, 2025C02186), the National Key Research and Development Project by the Ministry of Science and the Technology of China (2023YFC2308705), Key Projects of the National Natural Science Foundation of China (U23A20496), and Key Lab of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province.

Acknowledgments

We thank all the survey staffs of local CDCs for their participation.

Conflict of interest

The authors declared 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.

References

1. Guo, RH. The basic experience of the social mobilization for the campaign of "eliminating the four pests" in new China and its contemporary enlightenment. Soc Sci J Univ Shanxi. (2021) 33:24–30. doi: 10.16396/j.cnki.sxgxskxb.2021.11.005

Crossref Full Text | Google Scholar

2. Sirisena, N, Mahilkar, S, Sharma, C, Jain, J, and Sunil, S. Concurrent dengue infections: epidemiology & clinical implications. Indian J Med Res. (2021) 154:669–79. doi: 10.4103/ijmr.IJMR_1219_18

PubMed Abstract | Crossref Full Text | Google Scholar

3. Sehgal, A, Mehta, S, Sahay, K, Martynova, E, Rizvanov, A, Baranwal, M, et al. Hemorrhagic fever with renal syndrome in Asia: history, pathogenesis, diagnosis, treatment, and prevention. Viruses. (2023) 15:561. doi: 10.3390/v15020561

PubMed Abstract | Crossref Full Text | Google Scholar

4. Barbieri, R, Signoli, M, Chevé, D, Costedoat, C, Tzortzis, S, Aboudharam, G, et al. Yersinia pestis: the natural history of plague. Clin Microbiol Rev. (2020) 34:e00044–19. doi: 10.1128/CMR.00044-19

PubMed Abstract | Crossref Full Text | Google Scholar

5. Franklinos, LHV, Jones, KE, Redding, DW, and Abubakar, I. The effect of global change on mosquito-borne disease. Lancet Infect Dis. (2019) 19:e302–12. doi: 10.1016/S1473-3099(19)30161-6

PubMed Abstract | Crossref Full Text | Google Scholar

6. Lee, H, Halverson, S, and Ezinwa, N. Mosquito-borne diseases. Prim Care. (2018) 45:393–407. doi: 10.1016/j.pop.2018.05.001

PubMed Abstract | Crossref Full Text | Google Scholar

7. Diaz, JH. Regional rodent-borne infectious diseases in North America: what wilderness medicine providers need to know. Wilderness Environ Med. (2021) 32:365–76. doi: 10.1016/j.wem.2021.03.007

PubMed Abstract | Crossref Full Text | Google Scholar

8. Donkor, ES. Cockroaches and food-borne pathogens. Environ Health Insights. (2020) 14:1178630220913365. doi: 10.1177/1178630220913365

PubMed Abstract | Crossref Full Text | Google Scholar

9. Hung, KY, McElfresh, JS, Zou, Y, Wayadande, A, and Gerry, AC. Identification of volatiles from plants infested with honeydew-producing insects, and attraction of house flies (Diptera: Muscidae) to these volatiles. J Med Entomol. (2020) 57:667–76. doi: 10.1093/jme/tjz232

PubMed Abstract | Crossref Full Text | Google Scholar

10. Ren, J, Chen, Z, Ling, F, Huang, Y, Gong, Z, Liu, Y, et al. Epidemiology of indigenous dengue cases in Zhejiang Province, Southeast China. Front Public Health. (2022) 10:857911. doi: 10.3389/fpubh.2022.857911

Crossref Full Text | Google Scholar

11. Yu, Y, Liu, Y, Ling, F, Sun, J, and Jiang, J. Epidemiological characteristics and economic burden of dengue in Zhejiang Province, China. Viruses. (2023) 15:1731. doi: 10.3390/v15081731

PubMed Abstract | Crossref Full Text | Google Scholar

12. Liu, Q, Wang, J, Hou, J, Wu, Y, Zhang, H, Xing, D, et al. Entomological investigation and detection of dengue virus type 1 in Aedes (Stegomyia) albopictus (Skuse) during the 2018-2020 outbreak in Zhejiang Province, China. Front Cell Infect Microbiol. (2022) 12:834766. doi: 10.3389/fcimb.2022.834766

PubMed Abstract | Crossref Full Text | Google Scholar

13. Wang, J, Luo, M, Li, T, Liu, Y, Jiang, G, Wu, Y, et al. The ecological and etiological investigation of ticks and rodents in China: results from an ongoing surveillance study in Zhejiang Province. Front Vet Sci. (2023) 10:1268440. doi: 10.3389/fvets.2023.1268440

PubMed Abstract | Crossref Full Text | Google Scholar

14. Wang, JN, Hou, J, Zhong, JY, Cao, GP, Yu, ZY, Wu, YY, et al. Relationships between traditional larval indices and meteorological factors with the adult density of Aedes albopictus captured by BG-mosquito trap. PLoS One. (2020) 15:e0234555. doi: 10.1371/journal.pone.0234555

PubMed Abstract | Crossref Full Text | Google Scholar

15. Guo, S, Huang, W, Sun, J, Gong, Z, Ling, F, Wu, H, et al. "mosquito-free villages": practice, exploration, and prospects of sustainable mosquito control—Zhejiang, China. China CDC Wkly. (2019) 1:70–4. doi: 10.46234/ccdcw2019.021

Crossref Full Text | Google Scholar

16. Wang, JN, Gao, Y, Hou, J, Wang, XL, Wu, YY, Liu, QM, et al. An exploration of standards and systematic assessment indices for “fly-free villages”. Chin J Vector Biol Control. (2021) 32:94–7. doi: 10.11853/j.issn.1003.8280.2021.01.020

Crossref Full Text | Google Scholar

17. Wang, JN, Wang, XL, Hou, J, Guo, JX, Wu, Y, Liu, QM, et al. A discussion on the construction experience and standard of "four pests-free villages" in Zhejiang province, China. Chin J Vector Biol Control. (2021) 32:613–7. doi: 10.11853/j.issn.1003.8280.2021.05.021

Crossref Full Text | Google Scholar

18. Zhejiang Province Pest Control Scientific Association. T/ZJPCA 001-2024 Guide of sustainable control and prevention of vectors in rural areas–the four pests. Beijing: China Standard Press (2024).

Google Scholar

19. Ministry of Health of the People’s Republic of China, Standardization Administration of the People’s Republic of China. GB/T 27770-2011 Criteria for vector density control-Rodent. Beijing: Standards Press of China (2012).

Google Scholar

20. Ministry of Health of the People’s Republic of China, Standardization Administration of the People’s Republic of China. GB/T 27771-2011 Criteria for vector density control-Mosquito. Beijing: Standards Press of China (2012).

Google Scholar

21. Ministry of Health of the People’s Republic of China, Standardization Administration of the People’s Republic of China. GB/T 27772-2011 Criteria for vector density control-Fly. Beijing: Standards Press of China (2012).

Google Scholar

22. Ministry of Health of the People’s Republic of China, Standardization Administration of the People’s Republic of China. GB/T 27773-2011 Criteria for vector density control-Cockroach. Beijing: Standards Press of China (2011).

Google Scholar

23. Song, M. The identification pictures of common medical vectors in Chinese ports. Tianjing: Tianjin science and technology press. (2004) 1: 1–432.

Google Scholar

24. Sun, Y, Ding, G, Li, M, Zhang, M, Agyeman, FO, and Liu, F. The spillover effect of green finance development on rural revitalization: an empirical analysis based on China's provincial panel data. Environ Sci Pollut Res Int. (2023) 30:58907–19. doi: 10.1007/s11356-023-26655-5

PubMed Abstract | Crossref Full Text | Google Scholar

25. Wang, JN, Li, YF, Chen, SY, Jiang, ZQ, Luo, MY, Wu, YY, et al. An investigation on knowledge of pest control among villagers in "four pests-free villages" in Zhejiang province, China. Chin J Vector Biol Control. (2022) 33:722–6. doi: 10.11853/j.issn.1003.8280.2022.05.020

Crossref Full Text | Google Scholar

26. Udayanga, L, Gunathilaka, N, Iqbal, MCM, Najim, MMM, Pahalagedara, K, and Abeyewickreme, W. Empirical optimization of risk thresholds for dengue: an approach towards entomological management of Aedes mosquitoes based on larval indices in the Kandy District of Sri Lanka. Parasit Vectors. (2018) 11:368. doi: 10.1186/s13071-018-2961-y

PubMed Abstract | Crossref Full Text | Google Scholar

27. Chen, HX. Surveillance of hemorrhagic fever with renal syndrome in China. Chin J Epidemiol. (2002) 23:63–6. doi: 10.3760/cma.j.issn.0254-6450.2002.01

Crossref Full Text | Google Scholar

28. The Chinese Pest Control Association. T/CPCACN 0015-2022 Guide of sustainable control and prevention of vectors in rural areas–Flies. Beijing: Standards Press of China (2023).

Google Scholar

29. Wu, Y, Wang, J, Liu, Q, Li, T, Luo, M, and Gong, Z. Practice of integrated vector surveillance of arthropod vectors, pathogens and reservoir hosts to monitor the occurrence of tropical vector-borne diseases in 2020 in Zhejiang Province, China. Front Vet Sci. (2022) 9:1003550. doi: 10.3389/fvets.2022.1003550

Crossref Full Text | Google Scholar

30. Wu, YY, Hou, J, Wang, JN, Liu, QM, Li, TQ, and Gong, ZY. Density and seasonal variation of flies in Zhejiang province, China, 2016-2019. Chin J Vector Biol Control. (2021) 32:451–5. doi: 10.11853/j.issn.1003.8280.2021.04.013

Crossref Full Text | Google Scholar

31. Wang, XS, Wu, HX, and Liu, QY. National surveillance report on flies in China, 2019. Chin J Vector Biol Control. (2020) 31:407–11. doi: 10.11853/j.issn.1003.8280.2020.04.005

Crossref Full Text | Google Scholar

32. Nasirian, H. Infestation of cockroaches (Insecta: Blattaria) in the human dwelling environments: a systematic review and meta-analysis. Acta Trop. (2017) 167:86–98. doi: 10.1016/j.actatropica.2016.12.019

PubMed Abstract | Crossref Full Text | Google Scholar

33. Pan, X, Wang, X, and Zhang, F. New insights into cockroach control: using functional diversity of Blattella germanica symbionts. Insects. (2020) 11:696. doi: 10.3390/insects11100696

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: vector, mosquito, fly, rodent, cockroach, density, village

Citation: Wang J, Xia J, Zhang W, Li T, Luo M, Liu Q, Guo J, Sun J, Gong Z and Jiang J (2025) Community-based sustainable vector management strategies in rural areas of Zhejiang Province: criteria development and long-term impact assessment of vector control toward “Four Pest-Free Village” pilot program. Front. Vet. Sci. 12:1445755. doi: 10.3389/fvets.2025.1445755

Received: 10 June 2024; Accepted: 21 May 2025;
Published: 06 June 2025.

Edited by:

Sandra Barroso-Arévalo, VISAVET Health Surveillance Centre (UCM), Spain

Reviewed by:

Shengzhang Dong, Johns Hopkins University, United States
Ramesh C. Dhiman, National Institute of Malaria Research (ICMR), India
David Díaz-Regañón, Universidad Complutense de Madrid, Spain

Copyright © 2025 Wang, Xia, Zhang, Li, Luo, Liu, Guo, Sun, Gong and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jimin Sun, am1zdW5AY2RjLnpqLmNu; Zhenyu Gong, emh5Z29uZ0BjZGMuemouY24=; Jianmin Jiang, am1qaWFuZ0BjZGMuemouY24=

These authors have contributed equally to this work

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.