Genetic evidence of regional circulation of Crimean-Congo hemorrhagic fever virus in ixodid ticks from southern Kazakhstan

Introduction: Arthropod-borne viruses (arboviruses) pose a growing threat to livestock and human health across Central Asia. This study aimed to assess the presence and genetic diversity of arboviral pathogens—Crimean-Congo hemorrhagic fever virus (CCHFV), Bluetongue virus (BTV), Schmallenberg virus (SBV), and lumpy skin disease virus (LSDV)—in ixodid ticks livestock in southern Kazakhstan.

Methods: A total of 3,281 adult ticks were collected from three regions (Turkestan, Zhambyl, and Kyzylorda) and identified morphologically. Molecular screening was performed using real-time and nested RT-PCR.

Results: CCHFV RNA was detected exclusively in female ticks from the Turkestan region, with Dermacentor pictus showing the highest infection rate (21.05%), followed by Hyalomma anatolicum, Dermacentor marginatus, and Hyalomma scupense. No viral RNA was detected for BTV, SBV, or LSDV.

Discussion: Phylogenetic analysis based on partial S and L segments revealed that the Kazakhstani isolates clustered within Asia-1 and Asia-2 genotypes and shared high sequence identity with regional strains from Uzbekistan, Turkmenistan, and China, supporting transboundary virus circulation. These findings provide additional molecular evidence of localized CCHFV activity in livestock-associated ticks in southern Kazakhstan, expanding current knowledge on the virus’s geographic distribution and genetic diversity.

1 Introduction

Economic growth in the livestock sector under modern market conditions largely depends on the effectiveness of measures aimed at reducing animal losses caused by non-contagious, infectious, and viral diseases (1). In this context, viral infections play a crucial role, as they not only inflict damage on livestock industry also pose a threat to public health. Among the infectious diseases affecting animals, arboviruses cause substantial economic damage (2). The most significant arboviral threats in Kazakhstan include bluetongue virus (BTV), lumpy skin disease virus (LSDV), Schmallenberg virus (SBV), and Crimean-Congo hemorrhagic fever virus (CCHFV) (3–5).

Arboviruses transmitted by arthropods pose a global public health challenge (6, 7). In recent years, there has been an increase in the incidence of arboviral infections, an expansion of their geographic distribution, and a growing burden on healthcare systems (8, 9). These viruses exhibit similar epidemiological characteristics, transmission routes, and clinical manifestations, although the severity of complications may vary (10, 11). Clinical signs of arboviral infections are often non-specific, mild, or even absent; however, in some cases, they can lead to severe complications (12, 13).

Arboviruses are maintained in natural transmission cycles between vertebrate hosts and hematophagous arthropods, such as mosquitoes, midges, gnats, and ticks (14). For the transmission cycle to be completed, arboviruses must reach a sufficiently high level of viremia in the vertebrate host to effectively infect the arthropod during blood feeding (15, 16).

Investigation of ixodid ticks for the carriage of dangerous viral pathogens—such as BTV, CCHFV, LSDV, and CCHFV—represents a critical task from both scientific and practical perspectives (17, 18). Over 135 arboviruses capable of causing human diseases have been identified (19). These infections can occur asymptomatically or lead to fulminant, fatal outcomes, with clinical manifestations ranging from systemic febrile syndromes to hemorrhagic fevers (20, 21).

CCHFV remains one of the most pressing issues in Kazakhstan (22). The CCHFV causes outbreaks of hemorrhagic fever, multiple studies report case fatality rates ranging from 25 to 60% (23, 24). Genetically, the CCHFV belongs to the Nairovirus family and is characterized by a high degree of genetic diversity. Its genome consists of three segments of single-stranded RNA: the small (S), medium (M), and large (L) segments (25). The disease is reported in Africa, Asia, and Europe, where the mortality rate reaches up to 30% (23, 26).

Based on the analysis of the nucleotide sequences of the S and L segments of the CCHFV genome, seven genotypes have been identified: Africa-1, Africa-2, Africa-3, Asia-1, Asia-2, Euro-1, and Euro-2 (27). CCHFV has been reported in Kazakhstan since 1948, with active natural foci identified in the Zhambyl, Turkestan, and Kyzylorda regions (28). The epidemiological situation in these regions remains unstable, with approximately 16 clinical cases reported annually and an average case fatality rate of 14.8% (29).

Genetic analysis of the CCHFV isolated from the southern regions of Kazakhstan has revealed its affiliation with the Asia-1 and Asia-2 genotypes, indicating genetic relatedness to strains from Uzbekistan, Tajikistan, and China (30).

LSDV was first reported in Kazakhstan in 2016 in the Atyrau region (4). Given the high density of livestock and the presence of vectors, further spread of this infection could result in significant socioeconomic consequences (31).

Studies on the causative agent of bluetongue remain preliminary, and the virus associated with Schmallenberg disease has not yet been isolated. Moreover, no systematic monitoring of the epizootic situation for these diseases has been conducted in Kazakhstan, thereby limiting our understanding of their impact in the region.

The aim of this study was to investigate the distribution of four high-priority arboviral infections—CCHFV, BTV, SBV, and LSDV—relevant to both public and animal health, in the southern regions of Kazakhstan, as well as to identify their vectors among ixodid ticks collected from livestock.

The study of arboviral infections and their vectors is crucial for developing effective control and prevention strategies against diseases that threaten both animal husbandry and public health. The data obtained can be used to enhance epidemiological surveillance systems and mitigate the risks of arbovirus transmission in the region. However, the absence of molecular surveillance data on arboviral pathogens in ticks from Kazakhstan continues to limit regional risk assessment and preparedness. This study addresses this gap through genetic detection and characterization of circulating arboviruses in livestock-associated ixodid ticks.

2 Materials and methods

2.1 Sample collection and preparation

Sample collection and preparation were conducted in accordance with the WOAH Terrestrial Manual 2024 (Chapter 1.1: Specimen Collection, Submission, and Preparation). Biological specimens of ixodid ticks were collected from livestock such as cattle, sheep, and goats across farms and private holdings in three regions of Kazakhstan: Zhambyl (382 samples, 11.7%), Turkestan (2,690 samples, 81.9%), and Kyzylorda (209 samples, 6.4%) in 2024. In the Turkestan region, tick sampling was additionally stratified by administrative district, with collections performed in Shardara, Arys, Maktaaral, and Baitibek districts to enable localized analysis of virus circulation patterns. Sampling was conducted as single-timepoint examinations, involving 10 to 30 animals per herd. Particular attention was given to body regions where ticks are known to commonly aggregate, including the neck, axillae, groin, perianal area, udder, and tail base.

Host preference analysis was performed by examining 10% of animals within selected herds. The average tick burden per host species was calculated using the formula:

$[\mathrm{B}=\backslash \text{frac}\{\mathrm{K}\backslash \text{times}100\left\}\right\{\mathrm{S}\},]$

where BB = host species, KK = number of ticks on the host species, and SS = total ticks collected from all host species.

Tick collection was conducted exclusively from cattle in private household farms located in endemic southern regions of Kazakhstan. A total of 3,281 adult ticks were collected, including 382 samples (11.7%) from Zhambyl, 2,690 samples (81.9%) from Turkestan, and 209 samples (6.4%) from Kyzylorda regions. Following morphological identification, the collected specimens were classified into nine tick species belonging to the family Ixodidae.

Ticks were manually removed using surgical forceps to avoid damaging mouthparts and preserved in 70% ethanol. Morphological identification was confirmed microscopically using taxonomic keys (32). All procedures were performed in accordance with biosafety protocols 3.1.1027-01: Guidelines for the Collection and Laboratory Analysis of Arthropod Vectors (33).

2.2 Nucleic acid extraction

A total of 3,281 adult ticks were analyzed, including Hyalomma scupense (27.5%), Hyalomma anatolicum (19.6%), Dermacentor marginatus (15.2%), Boophilus calcaratus (6.6%), Dermacentor pictus (5.6%), Haemaphysalis otophila (0.7%), Haemaphysalis punctata (0.5%), Rhipicephalus bursa (0.4%), Dermacentor niveus (0.2%), Argas persicus (23.7%), and Alveonasus lahorensis (0.03%). Ticks were homogenized in 2.0 mL DNase/RNase-free tubes (Eppendorf) with zirconia-silica beads (6 mm) and DMEM medium (Capricorn Scientific) using a LabSafer TS-48/64 homogenizer. Homogenates were freeze-thawed three times, clarified by centrifugation (600 × g, 10 min), and supernatants pooled by species for downstream analysis.

Total nucleic acids were extracted using the PureLink Microbiome DNA/RNA Purification Kit (Invitrogen, USA) following the manufacturer’s protocol.

2.3 Viral amplification and detection

Detection of arboviruses in tick samples was performed using different PCR-based approaches depending on the viral genome type. Ticks were pooled into groups of 3–5 individuals according to species, sex, and sampling location prior to nucleic acid extraction and subsequent molecular analysis. For the RNA viruses—CCHFV, SBV, and BTV—we employed either one-step RT-PCR or nested RT-PCR using virus-specific primers to enhance analytical sensitivity and detect low viral loads. Real-time RT-PCR (AmpliSens® kits, Russia) was additionally used for confirmation of CCHFV-positive samples. For the DNA virus LSDV, conventional PCR targeting the P32 gene was performed using primers described by El-Nahas et al. (34). For phylogenetic analysis, partial fragments of the S segment (~536 bp) and L segment (~476 bp) of the CCHFV genome were amplified. All procedures were performed in a BSL-3 facility compliant with WHO biosafety guidelines.

BTV and SBV were detected by one-step reverse transcription quantitative PCR (RT-qPCR), whereas LSDV, a DNA virus was tested by a quantitative PCR assay. We used commercial kits specific for each virus: Virotype® BTV RT-PCR Kit and Virotype® SBV RT-PCR Kit (Qiagen, Germany); and VetMAX® LSDV/Capripox PCR Kit (Thermo Fisher Scientific, USA). Reactions were performed according to the manufacturer’s instructions.

2.4 Nested RT-PCR for CCHFV

Viral RNA was amplified using the BioMaster One-Step RT-PCR–Extra kit (2×) (Biolabmix, Russia) following the manufacturer’s instructions. The first-round RT-PCR was carried out in a 20 μL reaction volume containing 5 μL of extracted RNA and the following primer sets targeting the S, M, and L segments of the CCHFV genome (Table 1). Thermal cycling conditions were as follows: reverse transcription at 50 °C for 30 min; initial denaturation at 95 °C for 5 min; followed by 35 cycles of 95 °C for 40 s, 58 °C for 40 s, and 72 °C for 90 s; with a final extension at 72 °C for 5 min. The second-round PCR was performed in a 20 μL reaction containing 5 μL of the first-round product and the following in Table 1 primers. Thermal cycling conditions were: initial denaturation at 95 °C for 5 min; followed by 35 cycles of 95 °C for 1 min, 49 °C for 40 s, and 72 °C for 90 s; with a final elongation step at 72 °C for 5 min.

Table 1

Table 1. Primer sequences and nested RT-PCR conditions.

PCR products were analyzed by electrophoresis on a 1.5% agarose gel stained with ethidium bromide. Visualization was performed using the GelDoc imaging system (Bio-Rad, USA) and analyzed with Image Lab™ Software (Bio-Rad, USA).

2.5 Sequencing and phylogenetic analysis

The sequences were assembled using SeqMan software (DNASTAR, USA; version 6.1) and aligned using the MAFFT algorithm. The reference sequences published in the manual by Lukashev et al. (47) were used for the analysis. Evolutionary models were estimated in the MEGA 11 program, the best-fitting model for nucleotide sequences was Tamura et al. (35). The Tamura–Nei model was selected as the best-fit nucleotide substitution model based on Bayesian Information Criterion (BIC). Phylogenetic trees were constructed using the maximum likelihood method, incorporating the nearest neighbor interchange (NNI) heuristic algorithm and an automatically generated initial tree based on the default NJ/MP approach. Branch reliability was measured using bootstrap analysis with 1,000 repetitions. The percentage identity between sequences was calculated in the MegAlign program, which is part of the Lasergene 6.0 package (DNASTAR, USA). Phylogenetic trees based on the partial S and L genome segments of the studied CCHFV isolates are presented in Supplementary Figures 1, 2. The primer sequences used for amplification of the target regions of viral genomes, as well as the PCR conditions, are presented in Table 1.

3 Results

3.1 Tick species composition and regional distribution

To assess the prevalence of arboviral infections in ixodid ticks, a comprehensive molecular screening was conducted using real-time reverse transcription PCR (RT-qPCR) for the detection of viral RNA/DNA, including BTV, SBV, LSDV, and CCHFV. All samples tested negative for BTV, SBV, and LSDV. Only CCHFV RNA was detected in the tick samples, and therefore, only this virus was further analyzed by nested RT-PCR and sequencing.

A total of 3,281 adult ticks (2,627 females and 654 males) were collected from cattle herds across three regions of Kazakhstan: Zhambyl (382 samples, 11.7%), Turkestan (2,690 samples, 81.9%), and Kyzylorda (209 samples, 6.4%). Ticks were sampled from livestock using standardized protocols, focusing on body regions with high tick aggregation (e.g., neck, axillae, groin, udder, and tail base). All specimens were transported to the National Reference Center for Veterinary Medicine for further analysis. The sampling location and quantity are shown in Figure 1.

Figure 1

Figure 1. Geographic distribution of ixodid tick collection sites and detection of Crimean-Congo hemorrhagic fever virus (CCHFV)-positive tick species in southern Kazakhstan. Blue circles represent the number of ticks collected per site, with larger circles indicating higher sampling density. Colored symbols indicate tick species that tested positive for CCHFV RNA: red triangle (Dermacentor marginatum), green diamond (Hyalomma anatolicum), pink square (Dermacentor pictus), and yellow star (Hyalomma scupense). The inset map shows the location of Kazakhstan in Central Asia.

Morphological identification confirmed the presence of nine species from the Ixodidae family—Dermacentor marginatus (D. marginatus), Dermacentor pictus (D. pictus), Dermacentor niveus (D. niveus), Hyalomma anatolicum (H. anatolicum), Haemaphysalis punctata (Hae. punctata), Hyalomma scupense (H. scupense), Rhipicephalus bursa (R. bursa), Boophilus calcaratus (B. calcaratus), and Haemaphysalis otophila (Hae. otophila). Additionally, two species from the Argasidae family were identified: Alveonasus lahorensis (A. lahorensis) and Argas persicus (A. persicus).

Epidemiological surveys and sample collection were conducted during scientific expeditions to Zhambyl, Turkestan, and Kyzylorda regions. The collected ticks were screened for arboviral pathogens using RT-qPCR assays targeting conserved genomic regions of BTV, SBV, LSDV, and CCHFV.

The species distribution of ticks in southern Kazakhstan revealed the following prevalence - H. scupense (27.5%), H. anatolicum (19.6%), D. marginatus (15.2%), B. calcaratus (6.6%), D. pictus (5.6%), Hae. Otophila (0.7%), H. punctata (0.5%), R. bursa (0.4%), and D. niveus (0.2%). Among Argasidae, Argas persicus was the most abundant (23.7%), while A. lahorensis was rare (0.03%).

These findings highlight the dominance of Hyalomma and Dermacentor species as potential vectors for arboviral transmission in the region. The high prevalence of H. scupense and H. anatolicum is particularly noteworthy, given their known role in transmitting CCHFV and other zoonotic pathogens.

To assess the prevalence and distribution of arboviral infections in Kazakhstan, tick pools were collected from three regions—Turkestan, Kyzylorda, and Jambyl—during 2024. The collected ticks were grouped by species and sex, and each pool was subjected to real-time RT-PCR (RT-qPCR) for the detection of BTV, SBV, and LSDV, and nested RT-PCR for the detection of CCHFV, including BTV, SBV, LSDV, and CCHV. Table 2 presents a detailed breakdown of the total number of ticks per species and region, along with the corresponding real-time RT-PCR and nested RT-PCR results. While real-time RT-PCR results for BTV, SBV, and LSDV were predominantly negative, CCHFV positivity varied across species and regions, with notable differences observed between female and male tick pools. These findings underscore the regional and taxonomic heterogeneity of arboviral infections in ticks and emphasize the need for ongoing surveillance in these endemic areas.

Table 2

Table 2. Tick taxonomy and CCHFV positivity.

3.2 Detection of pathogens by PCR

Tick pools (grouped by species and sex) for the presence of viruses from Turkestan, Kyzylorda, and Zhambyl regions were screened by RT-PCR for four arboviruses: CCHFV, BTV, SBV, and LSDV (Table 3). CCHFV was the only virus detected among all samples; no pools tested positive for BTV, SBV, or LSDV. Notably, all CCHFV-positive pools were from the Turkestan region and consisted of female ticks, with Dermacentor pictus showing the highest infection rate among the species tested.

Table 3

Table 3. Tick species distribution and arbovirus RT-PCR results in three regions of Kazakhstan.

The results presented in Table 3 indicate a marked heterogeneity in both tick abundance and arboviral infection rates across the three regions examined. In the Turkestan region—the area with the highest tick yield (2,685 individuals)—female pools exhibited notable rates of CCHFV positivity. CCHFV RNA was most frequently detected in D. pictus, with progressively lower positivity rates observed in H. anatolicum, H. scupense, and D. marginatus.

In both the Kyzylorda and Jambyl regions, overall tick numbers and the detection of arboviral infections were considerably lower than in Turkestan. This disparity suggests that Turkestan may represent a potential hotspot for CCHFV transmission, particularly within female tick populations of specific species. The absence of evidence for other arboviruses further underscores the predominant epidemiological relevance of CCHFV in these settings. Of the four targeted arboviruses, only CCHFV RNA was detected in the analyzed tick pools. All samples tested negative for BTV, SBV, and LSDV by PCR. Therefore, sequencing and phylogenetic analysis were conducted exclusively for CCHFV-positive samples.

3.3 Taxonomic and sex-specific distribution of CCHFV positivity

Detailed analysis of CCHFV positivity by taxonomic classification and sex revealed notable differences among tick species. Within the Ixodidae family, the highest infection rate was observed in female D. pictus (18.58%), followed by D. marginatus (5.02%), H. anatolicum (3.45%), and H. scupense (4.55%). No CCHFV RNA was detected in male ticks or in any specimens from the Argasidae family. These findings are summarized in Table 2, which presents species-level tick abundance and CCHFV positivity rates based on pooled molecular screening.

The results presented in Table 2 highlight marked interspecific variation in CCHFV positivity among female Ixodidae ticks. Notably, D. pictus and D. marginatus exhibited higher rates of infection compared to other taxa, suggesting a potential role as primary vectors in the region. In contrast, ticks from the Argasidae family showed no detectable CCHFV RNA, indicating their limited involvement in the virus’s local transmission cycle. These data underscore the importance of species- and sex-specific surveillance in understanding the ecology of tick-borne viruses.

3.4 Site-specific CCHFV detection in Turkestan region

To further examine localized patterns of CCHFV circulation, PCR assays were conducted on ticks collected from four districts within the Turkestan region. The highest CCHFV positivity was observed in D. pictus from Shardara District (20.5%), followed by H. anatolicum from Arys District (15.0%), D. marginatus from Maktaaral District (14.3%), and H. scupense from Baitibek District (16.7%) (Table 4).

Table 4

Table 4. PCR diagnosis of arboviral infections in ticks collected from Turkestan region.

The results presented in Table 4 demonstrate considerable variation in CCHFV positivity among tick species across different localities within the Turkestan region. Notably, D. pictus showed the highest infection rate (20.5%), suggesting a prominent role in virus maintenance. D. marginatus, H. anatolicum, and H. scupense also exhibited moderate positivity rates (14.3–16.7%), highlighting species-specific and ecological contributions to virus circulation.

A total of 97 out of 760 ticks (12.7%) tested positive for CCHFV RNA based on pooled analysis. These findings underscore the importance of tick species composition, local environmental factors, and host–vector interactions in shaping arbovirus transmission dynamics. The data support targeted surveillance and vector control strategies in high-risk districts of southern Kazakhstan.

3.5 Sequencing and phylogenetic analysis

To confirm the identity of the detected viral RNA and assess the genetic diversity of circulating CCHFV strains, representative PCR-positive samples (n = 97) were subjected to Sanger sequencing. Phylogenetic trees were constructed in MEGA v12 using the maximum likelihood method with the Tamura-Nei substitution model, identified as the best-fit model based on Bayesian Information Criterion (BIC) scores. Bootstrap analysis with 1,000 replicates was performed to evaluate the robustness of the tree topology. Reference sequences were retrieved from GenBank and included strains from Central Asia (Uzbekistan, Tajikistan), East Asia (China), and the Middle East, enabling comparative assessment of the Kazakhstani isolates.

Pairwise nucleotide identity values are presented in Figure 2 for both the S and L segments. The sequences from the present study demonstrated 92.1–98.4% identity with regional strains from Uzbekistan, Tajikistan, and China, confirming their affiliation with the Asia-1 and Asia-2 genotypes. The high similarity with strains circulating in neighboring countries supports the hypothesis of transboundary virus exchange via livestock or tick migration.

Figure 2

Figure 2. A pairwise identity matrix was constructed for the S (top) and L (bottom) segments of Crimean-Congo hemorrhagic fever virus (CCHFV) based on sequence comparisons with reference strains retrieved from GenBank. The strains highlighted in bold indicate isolates obtained in the present study.

To investigate the evolutionary relationships of the CCHFV strains detected in this study, phylogenetic trees were constructed based on partial nucleotide sequences of the S and L genome segments. Representative PCR-positive samples from the Turkestan region—CCHF_15407_KZ_Maktaaral_2024 (S segment) and CCHF_ Maktaaral_2024 (L segment)—were sequenced and analyzed alongside reference strains retrieved from GenBank.

The phylogenetic analysis of the S segment is shown in Supplementary Figure 1 demonstrated that the Kazakhstani isolate clustered within the Asia-1 genotype, showing close genetic relatedness to strains from Uzbekistan (AY277437, Hoftha, 1967) and India (JN572089, 2011). The high sequence identity (96.1–96.7%) and short evolutionary distance support the hypothesis of a shared regional lineage with persistent circulation in Central Asia.

In contrast, the tree based on the L segment (see Supplementary Figure 2) showed that the Kazakhstani isolate from CCHF_154sam S segment Kazakhstan_Arys_2024 grouped with strains from Asia-2 genotype, including reference sequences from Turkmenistan (KX013463), Afghanistan (MH128201), and Uzbekistan (AY347889). This clade suggests a distinct but geographically proximate lineage that likely reflects long-term endemicity and cross-border virus maintenance.

Together, these results indicate that multiple genetic variants of CCHFV are co-circulating in southern Kazakhstan. The phylogenetic placement of the isolates within Asia-1 and Asia-2 genotypes, and their clustering with strains from neighboring countries, provide compelling evidence of transboundary virus transmission, potentially facilitated by livestock trade and the movement of infected tick vectors.

The phylogenetic relationships were inferred using the Tamura-Nei substitution model and a heuristic search with nearest-neighbor interchange (NNI) in MEGA version 12. The isolate obtained in this study (CCHF_165_KZ_Shardara_2024) is highlighted in bold and clusters within the Asia-1/2 genotype clade. Bootstrap values (>70%) are indicated at major nodes. Reference sequences representing recognized genotypes (Europe 1–2, Asia 1–3, Africa 2–3) were included to illustrate the genetic positioning of the Kazakhstani isolate within the global diversity of CCHFV.

The tree was constructed using the Tamura-Nei substitution model and the maximum likelihood method in MEGA version 12, with bootstrap support values (>70%) indicated at key nodes. The isolates obtained in this study (CCHF_154sam_KZ_Arys_2024 and CCHF_75sam_KZ_Maktaaral_2024) are shown in bold and cluster within the Asia-2 genotype. Reference sequences from GenBank representing major global genotypes (Asia 1–2, Africa 1–3, Europe 1–3) were included to contextualize the phylogenetic placement of the Kazakhstani strains within the broader genetic diversity of CCHFV.

4 Discussion

This study provides one of the first large-scale assessments of arboviral infections in ixodid ticks collected from livestock in southern Kazakhstan. The inclusion of 3,281 ticks collected across three ecologically distinct regions of southern Kazakhstan enhances the statistical power and geographic representativeness of our findings. Our findings emphasize the epidemiological significance of Dermacentor and Hyalomma ticks as potential vectors of CCHFV in this region. Notably, the exclusive detection of CCHFV RNA—while BTV, SBV, and LSDV were not identified—further underscores the prominent role of this virus in the regional arboviral landscape.

The absence of BTV, SBV, and LSDV in the examined samples may reflect several factors. First, these viruses are known to have limited vector competence among hard ticks; instead, they are predominantly transmitted by Culicoides midges (BTV and SBV) or hematophagous flies and mosquitoes (LSDV).

Second, the study period and environmental conditions may not have coincided with active transmission seasons for these viruses (36, 37). Third, the epidemiological situation in the region suggests that these arboviruses are either not endemic or sporadic in circulation in Kazakhstan, as no major outbreaks were reported in 2024. These findings are consistent with earlier regional reports, which also failed to detect BTV or SBV RNA in tick samples from similar ecological zones.

Comparative data from other endemic regions strengthen the interpretation of our results. For example, studies conducted in Turkey and Iran have demonstrated similar patterns of CCHFV dominance among tick-borne viruses, with H. marginatum and H. anatolicum as primary vectors. In Pakistan, H. anatolicum has also been identified as the major vector responsible for transmitting CCHFV to both livestock and humans, particularly in arid and semi-arid zones (38, 39). The dominance of hard ticks in the sample may have biased results toward detection of tick-borne viruses only. Tick sampling was conducted from April to early June 2024, which may not fully overlap with peak transmission seasons for BTV and SBV. These findings align with our detection of CCHFV in H. anatolicum and H. scupense from southern Kazakhstan, highlighting the importance of regional tick species as virus reservoirs.

The predominance of female D. pictus, H. anatolicum, and D. marginatus among CCHFV-positive pools aligns with previous reports on sex-specific differences in infection rates, likely reflecting extended host attachment and greater blood meal volume in female ticks, which may enhance their vector competence (40, 41). These observations support the hypothesis that sex- and species-specific biological differences may influence virus maintenance, with female Dermacentor and Hyalomma ticks acting as potential reservoirs. Importantly, to reduce potential bias, tick sampling across all regions followed a standardized collection protocol involving comparable livestock species and herd sizes, with district-level stratification applied in Turkestan to increase spatial resolution. However, it is important to note that our findings do not confirm vectorial competence, which requires controlled transmission studies. The geographic heterogeneity of infection, with CCHFV detected only in ticks from the Turkestan region, is particularly noteworthy. This region is known to harbor natural foci of CCHFV and has historically reported the highest incidence of human cases in Kazakhstan. Environmental conditions, livestock density, and the presence of competent tick vectors likely contribute to the region’s role as an arboviral hotspot (42). However, RNA detection alone does not confirm vector competence and should be interpreted with caution. Additionally, the calculated positivity rates reflect pooled sample testing, and not individual tick infection rates, which may lead to an overestimation of true prevalence. These findings are consistent with earlier ecological modeling studies, which identified southern Kazakhstan as a high-risk area for CCHFV circulation (43, 44).

Phylogenetic analysis of partial S and L segments revealed that the CCHFV isolates from Turkestan belonged to the Asia-1 and Asia-2 genotypes, clustering closely with historical strains from Uzbekistan, Turkmenistan, and China. These results provide compelling molecular evidence for transboundary virus exchange across Central Asia. Livestock movement, shared grazing pastures, and informal trade likely facilitate cross-border viral transmission, as has been proposed in previous cross-sectional studies conducted along the Kazakh–Uzbek border.

The genetic divergence observed between the S and L segment-based phylogenies suggests the potential for segment reassortment or co-circulation of multiple genotypes within the same geographic focus. While no evidence of recombination was observed in the current study, further whole-genome sequencing and longitudinal sampling would be needed to clarify the evolutionary dynamics of CCHFV in Kazakhstan.

The infection status of host animals was not assessed, which limits interpretation of virus circulation at the host–vector interface. Importantly, the present work fills a critical gap in regional epidemiological surveillance and provides a baseline for future vector monitoring programs. In the absence of systematic screening of ticks for arboviruses, the actual extent of virus circulation in livestock-associated ecosystems remains poorly understood. Our approach—combining field collection, molecular detection, and phylogenetic resolution—offers a scalable model for regional risk assessment.

While the current study provides a robust snapshot of CCHFV circulation in livestock-associated ticks, longitudinal data will be essential to understand temporal trends, emergence of novel genotypes, and their public health relevance. Integrating entomological surveillance with climatic and land-use data may also improve predictive modeling of arboviral risks in the region.

Future studies should aim to expand tick sampling to additional ecological zones and host species, including wildlife reservoirs; integrate seroepidemiological data from livestock and humans to map exposure risk; and assess viral load and infection dynamics within vector tissues to better define vector competence at the species level.

Overall, this study demonstrates the value of molecular surveillance for early detection of zoonotic arboviruses and highlights the importance of cross-border collaboration for the containment of vector-borne threats in Central Asia.

5 Conclusion

This study provides the first integrated molecular surveillance of arboviral pathogens in ixodid ticks collected from livestock in southern Kazakhstan. Among the four targeted arboviruses—CCHFV, BTV, SBV, and LSDV-only CCHFV RNA was detected, with the highest infection rates observed in female D. pictus, H. anatolicum, and D. marginatus ticks from the Turkestan region. These findings highlight the species-specific and regional heterogeneity of arboviral circulation and identify key tick vectors potentially involved in maintaining CCHFV transmission cycles.

Phylogenetic analysis confirmed the affiliation of Kazakhstani isolates with Asia-1 and Asia-2 genotypes and revealed close genetic relatedness to strains circulating in neighboring countries. This supports the hypothesis of transboundary virus exchange and underscores the need for coordinated regional surveillance. These findings underscore the need for enhanced regional surveillance of arboviral pathogens in ticks and livestock. We recommend the establishment of integrated surveillance programs combining molecular screening of tick vectors and serological monitoring of livestock, particularly in ecologically high-risk areas such as the Turkestan region. Additionally, targeted vector control strategies and intersectoral collaboration should be considered as part of a One Health approach. Overall, the results of this study provide valuable baseline data for future epidemiological monitoring and contribute to a better understanding of the ecology, distribution, and genetic structure of CCHFV in Central Asia.

Data availability statement

The data presented in the study are deposited in the GenBank repository, accession numbers PV646616–PV646619.

Ethics statement

The animal study protocol was approved by the Institutional Review Board (Conclusion of the local Commission on Biological Ethics of the Almaty branch of the National Reference Center for Veterinary, Protocol No. 1 dated November 6, 2023). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the owners for the participation of their animals in this study.

Author contributions

MB: Validation, Data curation, Supervision, Project administration, Conceptualization, Writing – review & editing, Writing – original draft, Funding acquisition. KM: Funding acquisition, Validation, Formal analysis, Project administration, Writing – original draft. TK: Investigation, Methodology, Writing – original draft. KK: Writing – review & editing, Formal analysis, Methodology. BK: Supervision, Conceptualization, Writing – review & editing, Resources, Writing – original draft, Visualization, Data curation. RN: Resources, Writing – original draft, Investigation, Writing – review & editing. AM: Software, Resources, Writing – original draft. NR: Writing – review & editing, Validation, Software. AA: Writing – review & editing, Methodology, Data curation. SA: Writing – original draft, Investigation, Validation. D-KY: Supervision, Writing – review & editing. GM: Supervision, Conceptualization, Writing – review & editing, Resources, Writing – original draft, Visualization, Data curation.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. The study was supported by the Ministry of Science and Higher Education of the Republic of Kazakhstan for 2024–2026 under the grant project “Study of the role of blood-sucking insects in the spread of arbovirus infection of farm animals in the southern regions of the Republic of Kazakhstan” (State registration AP23489181).

Acknowledgments

The authors are grateful to Dr. A. Shevtsov (Laboratory of Applied Genetics, National Center for Biotechnology, Almaty, Kazakhstan) for his expert consultation during the molecular analysis and for valuable insights that improved the phylogenetic interpretation of the results.

Conflict of interest

RN was employed by Kazakh Scientific Research Veterinary Institute LLP. NR was employed by Tecton Analytics LLP.

The remaining 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.

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Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2025.1623822/full#supplementary-material

Abbreviations

BTV, Bluetongue virus; CCHFV, Crimean-Congo hemorrhagic fever virus; LSDV, Lumpy skin disease virus; SBV, Schmallenberg virus; RT-PCR, Reverse transcription polymerase chain reaction; RT-qPCR, Real-time quantitative reverse transcription PCR; BSL-3, Biosafety level 3; MEGA, Molecular Evolutionary Genetics Analysis (software); BIC, Bayesian Information Criterion; NJ/MP, Neighbor-Joining/Maximum Parsimony (phylogenetic methods); RNA, Ribonucleic acid; DNA, Deoxyribonucleic acid; OIE, World Organisation for Animal Health (Office International des Epizooties); WHO, World Health Organization; S, M, L segments, Small, Medium, and Large genome segments of CCHFV; ICTV, International Committee on Taxonomy of Viruses.

References

1. Godara, AS, Saresh, NV, Bijarnia, AL, Godara, RS, Kumar, D, Meena, D, et al. Integrating livestock with crops and forestry for sustainability. Int J Environ Clim Chang. (2024) 14:114530. doi: 10.9734/ijecc/2024/v14i114530

Crossref Full Text | Google Scholar

2. Lavon, Y, Behar, A, Ezra, E, and Friedgut, O. Economic aspects of bovine ephemeral fever (BEF) outbreaks in dairy cattle herds. Vet Sci. (2023) 10:10.3390/vetsci10110645. doi: 10.3390/vetsci10110645

PubMed Abstract | Crossref Full Text | Google Scholar

3. Abdrakhmanov, SK, Beisembayev, KK, Sultanov, AA, Mukhanbetkaliyev, YY, Kadyrov, AS, Ussenbayev, AY, et al. Modelling bluetongue risk in Kazakhstan. Parasit Vectors. (2021) 14:491. doi: 10.1186/s13071-021-04945-6

PubMed Abstract | Crossref Full Text | Google Scholar

4. Orynbayev, MB, Nissanova, RK, Khairullin, BM, Issimov, A, Zakarya, KD, Sultankulova, KT, et al. Lumpy skin disease in Kazakhstan. Trop Anim Health Prod. (2021) 53:166. doi: 10.1007/s11250-021-02613-6

PubMed Abstract | Crossref Full Text | Google Scholar

5. Bryant-Genevier, J, Bumburidi, Y, Kazazian, L, Seffren, V, Head, JR, Berezovskiy, D, et al. Prevalence of Crimean-Congo hemorrhagic fever virus among livestock and ticks in Zhambyl region, Kazakhstan, 2017. Am J Trop Med Hyg. (2022) 106:1478–85. doi: 10.4269/ajtmh.21-1092

PubMed Abstract | Crossref Full Text | Google Scholar

6. Sherifi, K, Rexhepi, A, Berxholi, K, Mehmedi, B, Gecaj, RM, Hoxha, Z, et al. Crimean–Congo hemorrhagic fever virus and Borrelia burgdorferi sensu lato in ticks from Kosovo and Albania. Front Vet Sci. (2018) 5:38. doi: 10.3389/fvets.2018.00038

PubMed Abstract | Crossref Full Text | Google Scholar

7. Yanase, T, Murota, K, and Hayama, Y. Endemic and emerging arboviruses in domestic ruminants in East Asia. Front Vet Sci. (2020) 7:168. doi: 10.3389/fvets.2020.00168

PubMed Abstract | Crossref Full Text | Google Scholar

8. Renard, A, Suzán, G, Lombardini, FP, Roche, B, Bento, A, Arnal, A, et al. Interaction of human behavioral factors shapes the transmission of arboviruses by Aedes and Culex mosquitoes. Pathogens. (2023) 12:1421. doi: 10.3390/pathogens12121421

PubMed Abstract | Crossref Full Text | Google Scholar

9. Côrtes, N, Prates-Syed, W, Balan, A, Cabral-Marques, O, Balan, A, Prates-Syed, W, et al. Integrated control strategies for dengue, Zika, and Chikungunya virus infections. Front Immunol. (2023) 14:1281667. doi: 10.3389/fimmu.2023.1281667

PubMed Abstract | Crossref Full Text | Google Scholar

10. Hewson, R. Understanding viral haemorrhagic fevers: virus diversity, vector ecology, and public health strategies. Pathogens. (2024) 13:909. doi: 10.3390/pathogens13100909

PubMed Abstract | Crossref Full Text | Google Scholar

11. Almeida, MTD, Gonçalves, CAB, Souza, ASD, Merighi, DGS, Guzzo, CR, Amorim, VMDF, et al. Latin America’s dengue outbreak poses a global health threat. Viruses. (2025) 17:57. doi: 10.3390/v17010057

PubMed Abstract | Crossref Full Text | Google Scholar

12. Gajurel, K, Dhakal, R, and Deresinski, S. Arbovirus in solid organ transplants: a narrative review of the literature. Viruses. (2024) 16:1778. doi: 10.3390/v16111778

PubMed Abstract | Crossref Full Text | Google Scholar

13. Celina, SS, Italiya, J, Tekkara, AO, and Černý, J. Crimean-Congo haemorrhagic fever virus in ticks, domestic, and wild animals. Front Vet Sci. (2025) 11:1513123. doi: 10.3389/fvets.2024.1513123

PubMed Abstract | Crossref Full Text | Google Scholar

14. Abedi-Astaneh, F, Ansari-Cheshmeh, MA, Rad, HR, Hamta, A, Ebrahimi, M, Talbalaghi, A, et al. Extensive surveillance of mosquitoes and molecular investigation of arboviruses in Central Iran. Ann Med Surg. (2025) 87:130–7. doi: 10.1097/ms9.0000000000002826

Crossref Full Text | Google Scholar

15. Souza, WMD, Calisher, CH, Carrera, JP, Hughes, HR, Nunes, MRT, Russell, B, et al. ICTV virus taxonomy profile: Peribunyaviridae 2024. J Gen Virol. (2024) 105:002034. doi: 10.1099/jgv.0.002034

Crossref Full Text | Google Scholar

16. Schopf, F, Schütte, K, Fast, C, Ziegler, U, Keller, M, Günther, A, et al. Circulation of West Nile virus and Usutu virus in birds in Germany, 2021 and 2022. Infect Dis. (2024) 57:256–77. doi: 10.1080/23744235.2024.2419859

PubMed Abstract | Crossref Full Text | Google Scholar

17. Ergunay, K, Tumenjargal, S, Linton, Y-M, Bourke, BP, Fricken, MEV, Lilak, AG, et al. Metagenomic nanopore sequencing of tickborne pathogens, Mongolia. Emerg Infect Dis. (2024) 30:105–10. doi: 10.3201/eid3014.240128

Crossref Full Text | Google Scholar

18. Munjita, SM, Mubemba, B, Tembo, J, Bates, M, and Munsaka, S. Rhipicephalus simus ticks: new hosts for phleboviruses. Parasitology. (2024) 151:962–70. doi: 10.1017/s0031182024001033

PubMed Abstract | Crossref Full Text | Google Scholar

19. Elliott, RM, and Brennan, B. Emerging phleboviruses. Curr Opin Virol. (2014) 5:50–7. doi: 10.1016/j.coviro.2014.01.011

PubMed Abstract | Crossref Full Text | Google Scholar

20. Welch, SR, Spengler, JR, Westover, JB, Bailey, KW, Davies, KA, Aida-Ficken, V, et al. Delayed low-dose oral administration of 4′-fluorouridine inhibits pathogenic arenaviruses in animal models of lethal disease. Sci Transl Med. (2024) 16:eado7034. doi: 10.1126/scitranslmed.ado7034

PubMed Abstract | Crossref Full Text | Google Scholar

21. Wang, J, Yu, Z, Chen, Z, Ye, F, and Sun, Z. The potential role of Zika and dengue virus infection in the urogenital system disorders: an overview. Rev Med Virol. (2025) 35:e70010. doi: 10.1002/rmv.70010

PubMed Abstract | Crossref Full Text | Google Scholar

22. Perfilyeva, YV, Shapiyeva, ZZ, Ostapchuk, YO, Berdygulova, ZA, Bissenbay, AO, Kulemin, MV, et al. Tick-borne pathogens and their vectors in Kazakhstan—a review. Ticks Tick Borne Dis. (2020) 11:101498. doi: 10.1016/j.ttbdis.2020.101498

PubMed Abstract | Crossref Full Text | Google Scholar

23. Frank, MG, Raabe, V, and Weaver, G. Crimean-Congo hemorrhagic fever virus for clinicians-diagnosis, clinical management, and therapeutics. Emerg Infect Dis. (2024) 30:864–73. doi: 10.3201/eid3005.231648

PubMed Abstract | Crossref Full Text | Google Scholar

24. Rasikh, AS, Aram, MM, and Noory, AT. Clinical and epidemiological characteristics of 30 fatal cases of Crimean-Congo hemorrhagic fever in Kabul, Afghanistan: a retrospective observational study. Infect Drug Resist. (2023) 16:3469–76. doi: 10.2147/idr.s410955

PubMed Abstract | Crossref Full Text | Google Scholar

25. D’Addiego, J, Wand, N, Afrough, B, Fletcher, T, Kurosaki, Y, Leblebicioglu, H, et al. Recovery of complete genome sequences of Crimean-Congo haemorrhagic fever virus (CCHFV) directly from clinical samples: a comparative study between targeted enrichment and metagenomic approaches. J Virol Methods. (2023) 323:114833. doi: 10.1016/j.jviromet.2023.114833

Crossref Full Text | Google Scholar

26. Ozdarendeli, A. Crimean-Congo hemorrhagic fever virus: progress in vaccine development. Diagnostics. (2023) 13:2708. doi: 10.3390/diagnostics13162708

PubMed Abstract | Crossref Full Text | Google Scholar

27. Bente, DA, Forrester, NL, Watts, DM, McAuley, AJ, Whitehouse, CA, and Bray, M. Crimean-Congo hemorrhagic fever: history, epidemiology, pathogenesis, clinical syndrome and genetic diversity. Antivir Res. (2013) 100:159–89. doi: 10.1016/j.antiviral.2013.07.006

PubMed Abstract | Crossref Full Text | Google Scholar

28. Fereidouni, M, Apanaskevich, DA, Pecor, DB, Pshenichnaya, NY, Abuova, GN, Tishkova, FH, et al. Crimean-Congo hemorrhagic fever virus in Central, Eastern, and South-Eastern Asia. Virol Sin. (2023) 38:171–83. doi: 10.1016/j.virs.2023.01.001

PubMed Abstract | Crossref Full Text | Google Scholar

29. Sultankulova, KT, Shynybekova, GO, Kozhabergenov, NS, Mukhami, NN, Chervyakova, OV, Burashev, YD, et al. The prevalence and genetic variants of the CCHF virus circulating among ticks in the southern regions of Kazakhstan. Pathogens. (2022) 11:841. doi: 10.3390/pathogens11080841

PubMed Abstract | Crossref Full Text | Google Scholar

30. Chinikar, S, Bouzari, S, Shokrgozar, MA, Mostafavi, E, Jalali, T, Khakifirouz, S, et al. Genetic diversity of Crimean Congo hemorrhagic fever virus strains from Iran. J Arthropod Borne Dis. (2016) 10:127–40.

Google Scholar

31. Tuppurainen, ESM, Antoniou, S-E, Tsiamadis, E, Topkaridou, M, Labus, T, Debeljak, Z, et al. Field observations and experiences gained from the implementation of control measures against lumpy skin disease in South-East Europe between 2015 and 2017. Prev Vet Med. (2020) 181:104600. doi: 10.1016/j.prevetmed.2018.12.006

PubMed Abstract | Crossref Full Text | Google Scholar

32. Johnson, N. Chapter 6–tick-borne diseases of humans In: N Johnson, editor. Ticks. Cambridge, MA, USA: Academic Press (2023). 75–106.

Google Scholar

33. American Committee of Medical Entomology; American Society of Tropical Medicine and Hygiene. Arthropod containment guidelines, version 3.2. Vector Borne Zoonotic Dis. (2019) 19:152–73. doi: 10.1089/vbz.2018.2431

Crossref Full Text | Google Scholar

34. El-Nahas, E, El-Habbaa, A, El-Bagoury, G, and Radwan, M. Isolation and identification of lumpy skin disease virus from naturally infected buffaloes at Kaluobia, Egypt. Glob Vet. (2011) 7:234–7.

Google Scholar

35. Tamura, K, Stecher, G, and Kumar, S. MEGA11: molecular evolutionary genetics analysis version 11. Mol Biol Evol. (2021) 38:3022–7. doi: 10.1093/molbev/msab120

PubMed Abstract | Crossref Full Text | Google Scholar

36. Collins, ÁB, Barrett, DJ, Mee, JF, and Doherty, ML. Schmallenberg virus: a systematic international literature review (2011–2019) from an Irish perspective. Ir Vet J. (2019) 72:9. doi: 10.1186/s13620-019-0147-3

PubMed Abstract | Crossref Full Text | Google Scholar

37. Talavera, S, Oleaga, Á, Pagès, N, Estrada, R, Soler-Membrives, A, Ruiz-Fons, F, et al. Culicoides species communities associated with wild ruminant ecosystems in Spain: tracking the way to determine potential bridge vectors for arboviruses. PLoS One. (2015) 10:e0141667. doi: 10.1371/journal.pone.0141667

PubMed Abstract | Crossref Full Text | Google Scholar

38. Celina, SS, Samy, AM, and Černý, J. Mapping the potential distribution of the principal vector of Crimean-Congo haemorrhagic fever virus Hyalomma marginatum in the old world. PLoS Negl Trop Dis. (2023) 17:e0010855. doi: 10.1371/journal.pntd.0010855

PubMed Abstract | Crossref Full Text | Google Scholar

39. Ahrabi, SZ, Akyildiz, G, Keles, AG, and Kar, S. Detection of the Crimean-Congo hemorrhagic fever virus genome in questing Ixodes spp. and Haemaphysalis spp. in the periurban forestry areas of Istanbul: has a new biorisk emerged? Vector Borne Zoonotic Dis. (2023) 23:528–36. doi: 10.1089/vbz.2023.0023

PubMed Abstract | Crossref Full Text | Google Scholar

40. Bentil, RE, Nimo-Paintsil, S, Ampadu, R, Sanders, T, Diclaro, JW, Addo, SO, et al. First whole genome sequencing of Crimean–Congo hemorrhagic fever virus (CCHFV) in tick species within Ghana. Transbound Emerg Dis. (2023) 2023:2063317. doi: 10.1155/2023/2063317

PubMed Abstract | Crossref Full Text | Google Scholar

41. Ramadan, RM, Taha, NM, Auda, HM, Elsamman, EM, El-Bahy, MM, and Salem, MA. Molecular and immunological studies on Theileria equi and its vector in Egypt. Exp Appl Acarol. (2024) 93:439–58. doi: 10.1007/s10493-024-00933-4

PubMed Abstract | Crossref Full Text | Google Scholar

42. Nurmakhanov, T, Tukhanova, N, Sayakova, Z, Sadovskaya, V, Shevtsov, A, Tokmurziyeva, G, et al. Outcome of the entomological monitoring for Crimean-Congo haemorrhagic fever virus in the western and southern regions of Kazakhstan in 2021–2022. Front Epidemiol. (2024) 4:1310071. doi: 10.3389/fepid.2024.1310071

PubMed Abstract | Crossref Full Text | Google Scholar

43. Cuadrado-Matías, R, Moraga-Fernández, A, Peralbo-Moreno, A, Negredo, AI, Sánchez-Seco, MP, and Ruiz-Fons, F. Crimean-Congo haemorrhagic fever virus in questing non-Hyalomma spp. ticks in Northwest Spain, 2021. Zoonoses Public Health. (2024) 71:578–83. doi: 10.1111/zph.13130

PubMed Abstract | Crossref Full Text | Google Scholar

44. Baz-Flores, S, Herraiz, C, Peralbo-Moreno, A, Barral, M, Arnal, MC, Balseiro, A, et al. Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a model. Ticks Tick Borne Dis. (2024) 15:102281. doi: 10.1016/j.ttbdis.2023.102281

PubMed Abstract | Crossref Full Text | Google Scholar

45. Kuhn, JH, Seregin, SV, Morzunov, SP, Petrova, ID, Vyshemirskii, OI, Lvov, DK, et al. Genetic analysis of the M RNA segment of Crimean-Congo hemorrhagic fever virus strains involved in the recent outbreaks in Russia. Arch Virol. (2004) 149:2199–213. doi: 10.1007/s00705-004-0354-3

PubMed Abstract | Crossref Full Text | Google Scholar

46. Burt, FJ, Leman, PA, Smith, JF, and Swanepoel, R. The use of a reverse transcription–polymerase chain reaction for the detection of viral nucleic acid in the diagnosis of Crimean–Congo haemorrhagic fever. J Virol Methods. (1998) 70:129–37. doi: 10.1016/S0166-0934(97)00182-1

PubMed Abstract | Crossref Full Text | Google Scholar

47. Lukashev, AN, Klimentov, AS, Smirnova, SE, Dzagurova, TK, Drexler, JF, and Gmyl, AP. Phylogeography of Crimean Congo Hemorrhagic Fever Virus. PLOS ONE. (2016) 11:e0166744. doi: 10.1371/journal.pone.0166744

PubMed Abstract | Crossref Full Text | Google Scholar