Identification of Endemic Region for Severe Fever with Thrombocytopenia Syndrome in an Alluvial Plain of Hebei Province, China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Ethics Statement
2.2. Study Area
2.3. Data Collection
2.4. Sample Collection
2.4.1. Clinical Sample Collection
2.4.2. Healthy Individuals’ Serum Sample Collection
2.4.3. Tick and Domestic Animal Sample Collection
2.5. Detection of SFTSV by Quantitative Real-Time PCR
2.6. SFTSV Antibody Detection
2.7. Whole Genome Sequencing
2.8. Phylogenetic Analysis
2.9. Statistical Analysis
3. Results
3.1. Overview of SFTS in Hebei Province
3.2. Epidemiological Characteristics of SFTS Cases
3.2.1. Temporal Distribution
3.2.2. Regional Distribution
3.2.3. SFTS Population Distribution
3.3. SFTSV Detection in Patients, Ticks and Animals
3.4. SFTSV IgM and IgG Prevalence in Healthy Individuals
3.5. Molecular Characterization of SFTSV Strains
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Species | Number of Ticks/Animals | Number of Tick Pools/Animals Sera | Number (MIR/%) of SFTSV-Positive Samples |
---|---|---|---|
Ticks from vegetation | |||
Haemaphysalis longicornis | 95 | 7 | 1 (1.05%) |
Dermacentor nuttalli | 6 | 1 | 1 (16.67%) |
Total | 101 | 8 | 2 (1.98%) |
Ticks from hosts | |||
Haemaphysalis longicornis | 249 | 18 | 0 (0.00%) |
Rhipicephalus sanguineus | 52 | 5 | 0 (0.00%) |
Argas (Carios) sinensis | 1 | 1 | 0 (0.00%) |
Total | 302 | 24 | 0 (0.00%) |
Domestic animals | |||
Pigs | 31 | 31 | 0 (0.00%) |
Cattle | 20 | 20 | 0 (0.00%) |
Sheep | 22 | 22 | 1 (4.54%) |
Total | 73 | 73 | 1 (1.37%) |
Groups | No. Samples | Positive for IgM (%) | Positive for IgG (%) | Positive for Neutralizing Antibody (%) |
---|---|---|---|---|
Gender | ||||
Male | 544 | 4 (0.74%) | 7 (0.60%) | 2 (0.17%) |
Female | 625 | 4 (0.64%) | 13 (1.11%) | 3 (0.26%) |
Total | 1169 | 8 (0.68%) | 20 (1.71%) | 5 (0.43%) |
χ2 | 1.00 * | 1.09 | 1.00 * | |
p | 0.56 | 0.29 | 0.56 | |
Age (years old) | ||||
0–19 | 192 | 1 (0.52%) | 0 (0.00%) | 0 (0.00%) |
20–39 | 171 | 0 (0.00%) | 3 (1.75%) | 0 (0.00%) |
40–59 | 398 | 5 (1.26%) | 7 (1.76%) | 2 (0.50%) |
≥60 | 408 | 2 (0.49%) | 10 (2.45%) | 3 (0.74%) |
Total | 1169 | 8 (0.68%) | 20 (1.71%) | 5 (0.43%) |
χ2 | 3.40 | 4.68 | 2.52 | |
p | 0.33 | 0.19 | 0.28 | |
Occupation | ||||
Farmer | 976 | 7 (0.72%) | 19 (1.95%) | 5 (0.51%) |
Others | 193 | 1 (0.52%) | 1 (0.52%) | 0 (0.00%) |
Total | 1169 | 8 (0.68%) | 20 (1.71%) | 5 (0.43%) |
χ2 | 1.00 * | 0.23 | 1.00 * | |
p | 0.61 | 0.13 | 0.41 |
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Cai, Y.; Wei, Y.; Li, L.; Geng, M.; Zheng, Y.; Zhang, X.; Han, Z.; Zhang, Y.; Xu, Y.; Han, X.; et al. Identification of Endemic Region for Severe Fever with Thrombocytopenia Syndrome in an Alluvial Plain of Hebei Province, China. Viruses 2025, 17, 854. https://doi.org/10.3390/v17060854
Cai Y, Wei Y, Li L, Geng M, Zheng Y, Zhang X, Han Z, Zhang Y, Xu Y, Han X, et al. Identification of Endemic Region for Severe Fever with Thrombocytopenia Syndrome in an Alluvial Plain of Hebei Province, China. Viruses. 2025; 17(6):854. https://doi.org/10.3390/v17060854
Chicago/Turabian StyleCai, Yanan, Yamei Wei, Luling Li, Minghao Geng, Yan Zheng, Xinyang Zhang, Zhanying Han, Yanbo Zhang, Yonggang Xu, Xu Han, and et al. 2025. "Identification of Endemic Region for Severe Fever with Thrombocytopenia Syndrome in an Alluvial Plain of Hebei Province, China" Viruses 17, no. 6: 854. https://doi.org/10.3390/v17060854
APA StyleCai, Y., Wei, Y., Li, L., Geng, M., Zheng, Y., Zhang, X., Han, Z., Zhang, Y., Xu, Y., Han, X., & Li, Q. (2025). Identification of Endemic Region for Severe Fever with Thrombocytopenia Syndrome in an Alluvial Plain of Hebei Province, China. Viruses, 17(6), 854. https://doi.org/10.3390/v17060854