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Escalating transmissibility of severe fever with thrombocytopenia syndrome in a high-endemic region of China
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  • Published: 30 April 2026

Escalating transmissibility of severe fever with thrombocytopenia syndrome in a high-endemic region of China

  • Bingbing Wang1,2 na1,
  • Na Chu3 na1,
  • Hongjie Wei1,2 na1,
  • Yulun Xie1,2 na1,
  • Yanshu Ke1,2,
  • Jiaying Chen1,2,
  • Fang Xie1,2,
  • Lei Gong  ORCID: orcid.org/0000-0001-8430-23293,
  • Jia Rui  ORCID: orcid.org/0009-0006-7687-37904 &
  • …
  • Tianmu Chen  ORCID: orcid.org/0000-0003-0710-50861,2 

Nature Communications , Article number:  (2026) Cite this article

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Subjects

  • Epidemiology
  • Viral infection
  • Viral transmission

Abstract

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging public health concern with increasing incidence and geographic spread. Quantitative assessment of its cross-species transmission among humans, ticks, and animal hosts remains limited. Here, we develop and apply a multi-population, multi-route dynamic model using data from 3,883 reported cases in Anhui Province, China, from 2019 to 2023 to quantify transmissibility and characterize spatiotemporal patterns. We estimate an average annual incidence of 1.3 per 100,000 and a case fatality rate of 3.1%. Cases are concentrated from April to September, and the transmission season extends into early spring and late autumn. Farmers and older adults are the main high-risk groups, and transmission risk is highest in central and southern Anhui. Model-based estimates indicate increasing transmissibility, with the basic reproduction number exceeding 1 from 2022 and reaching 1.5 in 2023; the highest prefecture-level estimate is 3.3 in Chuzhou. These findings show sustained expansion of SFTS transmission in a high-endemic region and support earlier, geographically targeted interventions for cross-species transmission control.

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Acknowledgements

We extend our special thanks to Professor Guoqing Hu (Central South University) for his insightful guidance and suggestions. We thank Dr. Xiaohao Guo and Dr. Jiahui Li (Xiamen University) for their contributions to model improvement. Special thanks are due to Bin Deng from the Guizhou Provincial CDC for his invaluable contributions to the model and parameters. Finally, we acknowledge the dedicated efforts and data contributions of all study authors and staff at the various CDCs. This work was supported by the National Key Research and Development Program of China (2024YFC2311404, TMC); the National Natural Science Foundation of China (82404329, JR); the Postdoctoral Fellowship Program of China under Grant GZC20240890; the NHC Key Laboratory of Parasite and Vector Biology (National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention) (NHCKFKT2024-3, JR); Furong Laboratory Scientific Research Project (2023SK2090, TMC).

Author information

Author notes
  1. These authors contributed equally: Bingbing Wang, Na Chu, Hongjie Wei, Yulun Xie.

Authors and Affiliations

  1. State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People’s Republic of China

    Bingbing Wang, Hongjie Wei, Yulun Xie, Yanshu Ke, Jiaying Chen, Fang Xie & Tianmu Chen

  2. National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, People’s Republic of China

    Bingbing Wang, Hongjie Wei, Yulun Xie, Yanshu Ke, Jiaying Chen, Fang Xie & Tianmu Chen

  3. Department of Acute Infectious Disease Prevention and Control, Anhui Provincial Center for Disease Control and Prevention, Hefei, China

    Na Chu & Lei Gong

  4. Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha City, China

    Jia Rui

Authors
  1. Bingbing Wang
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  2. Na Chu
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  3. Hongjie Wei
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  4. Yulun Xie
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Corresponding authors

Correspondence to Lei Gong, Jia Rui or Tianmu Chen.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Cite this article

Wang, B., Chu, N., Wei, H. et al. Escalating transmissibility of severe fever with thrombocytopenia syndrome in a high-endemic region of China. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72352-5

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  • Received: 22 July 2025

  • Accepted: 14 April 2026

  • Published: 30 April 2026

  • DOI: https://doi.org/10.1038/s41467-026-72352-5

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