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April 28, 2026One Health0 citationsOpen Access

Environmental, climatic, and social risk factors of severe fever with thrombocytopenia syndrome and the implications of climate change

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YYYating YangJRJiangping RenGQGuoyou Qin

Key Points

  • This research aims to assess the impact of environmental, climatic, and social factors on the incidence of severe fever with thrombocytopenia syndrome (SFTS).
  • Data from Zhejiang Province, China (2011−2023) was analyzed.
  • Bayesian negative binomial regression model employed for estimation of risk factors.
  • Model validation and cross-validation experiments were conducted for assessment.
  • Projected 23% increase in SFTS incidence by 2028 with 9% more areas likely to report first cases.
  • Seasonal occurrence of SFTS expected to expand to year-round by 2028.
  • Urbanization negatively influences SFTS risk, while human mobility increases risk.

Abstract

SFTS is a tick-borne infectious disease with a high case fatality ratio with geographic expansion. While there have been some studies exploring the link between environmental and climatic factors on SFTS, we further test a hypothesis that social factors may play a role in the increasing burden. Using data from Zhejiang Province, China (2011−2023), we estimated the effects of environmental, climatic, and social factors on SFTS incidence using a Bayesian negative binomial regression model. Rigorous model selection processes, including variations of functional formats among independent variables and model validation, were followed. Influences of each covariate were assessed using block cross-validation experiments. We predicted the implications of the associations derived until 2028 based on climate projections. Environmental, climatic, and social factors were all selected in the final model. Higher risk areas included mountainous and cropland regions, with moderate temperatures, high precipitation, and longer sunlight exposure. Urbanization is negatively associated with SFTS risks, while human mobility is positively associated with SFTS risks. Spatial random effects do not significantly improve model performance after including human mobility measures and were thus excluded from the final model. By 2028, we are expecting a 23% increase in SFTS incidence; 9% more counties are likely going to report their first case. An SFTS season is expected to expand from March to October to year-round. This study provides a comprehensive investigation of the associations between environmental, climatic, and social factors and SFTS risks using a data-driven approach. Our findings underscore the growing role of social dynamics, particularly mobility, in shaping SFTS risk. SFTS in Zhejiang is expected to spread wider and last longer, calling for timely adaptation of public health strategies. • The interplay of geography, climate, and society drives SFTS risk expansion. • Human mobility increases the spread of tick-borne SFTS across urban and rural areas. • Climate change is predicted to expand SFTS risk to new regions and seasons by 2028. • SFTS is emerging in cities, challenging its conventional view as a rural disease.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/69f04edc727298f751e72c33https://doi.org/10.1016/j.onehlt.2026.101430
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