ArticleGeoHealth2025
Short-Term Effects of Meteorological Factors on Severe Fever With Thrombocytopenia Syndrome Incidence in Xinyang, China.
Article in GeoHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The impact of different therapies on invasive pulmonary aspergillosis in patients with severe fever and thrombocytopenia syndrome: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Meteorological and environmental factors associated with the spatiotemporal risk of severe fever with thrombocytopenia syndrome in Japan: A prefecture-level time-series modeling study.One health (Amsterdam, Netherlands) · 2026Article
- Complex exposure-response relationships between meteorological factors and severe fever with thrombocytopenia syndrome risk.Tropical medicine and health · 2026Article
- Environmental, climatic, and social risk factors of severe fever with thrombocytopenia syndrome and the implications of climate change.One health (Amsterdam, Netherlands) · 2026Article
- The effect of meteorological factors on severe fever with thrombocytopenia syndrome: Evidence from 34 Chinese cities.One health (Amsterdam, Netherlands) · 2026Article
- Short-Term Effects of Meteorological Factors on Severe Fever With Thrombocytopenia Syndrome Incidence in Xinyang, China.GeoHealth · 2025Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Severe fever with thrombocytopenia syndrome (SFTS) is a tick-borne zoonotic disease, which are classified by the World Health Organization as a priority disease for research and development in emergency situations due to the high mortality rate. Previous studies indicated that the complex nonlinear and delayed association was observed between meteorological factors and SFTS. However, these did not consider the short-term effect of meteorological factors on the incidence of SFTS. In this study, we used generalized additive models (GAM) and distributed lag nonlinear models (DLNM) to investigate the short-term correlation between meteorological factors and SFTS incidence. From 1 January 2013 to 31 December 2023 a total of 6,601 cases of SFTS were reported in Xinyang. Females constituted the majority with a male-to-female ratio of 0.68 and the average age of cases being approximately at around 61.52 years old. The multivariate GAM analysis revealed that mean temperature exerted the greatest influence on the incidence of SFTS compared to other meteorological factors and interacted with these factors. After accounting for lag period of 0-14 days, the DLNM analysis indicated that specific range of temperature (18-23°C), a certain range atmospheric pressure (1,006-1,017 hPa), extreme high wind speed (>11.6 m/s), and prolonged sunshine duration (>9h) were associated with SFTS, while there was no significant correlation between relative humidity and the incidence of SFTS. This study investigates the non-linear trend and lagged exposure effect of various meteorological factors on short-term SFTS incidence, thereby enhancing our comprehensive understanding of the effect of meteorological factors on SFTS.
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