Key result
Meteorological factors, primarily temperature and relative humidity, significantly influenced the incidence of scrub typhus, exhibiting both lag effects and nonlinear relationships.
Why the study?
Scrub typhus is vector-borne, susceptible to meteorological factors, and poses a significant health threat, requiring analysis of nonlinear relationships, lag effects, and spatial heterogeneity.
Observational (n=9,129)
Answers are grounded in this paper and cite their sources.
The incidence of scrub typhus in Jiangxi Province is significantly influenced by meteorological factors, particularly temperature and relative humidity, exhibiting both lag effects and nonlinear relationships.
BACKGROUND: Scrub typhus is transmitted through vectors and is susceptible to meteorological factors, posing a significant threat to human life and health. Therefore, in this study, the nonlinear relationships between meteorological factors and scrub typhus (ST) and the lag effects of meteorological factors on ST were analyzed, and the explanatory power of these factors on the spatially stratified heterogeneity of ST was evaluated. METHODS: Monthly data on ST cases and meteorological factors were collected in Jiangxi from 2014 to 2023. A distributed lag nonlinear model (DLNM) was used to analyze the lag effects and nonlinear relationships between meteorological factors and ST. Geodetector was conducted using 2023 spatial data to evaluate the explanatory power of meteorological factors and their interactions on the spatially stratified heterogeneity of ST. RESULTS: A total of 9129 cases of newly diagnosed ST were recorded. The DLNM demonstrated nonlinear relationships between meteorological factors and ST and lag effects of meteorological factors on ST. The influence of temperature, relative humidity, and wind speed on the ST initially increased, peaking at 25.50 °C, 84.80%, and 2.00 m/s, respectively, before decreasing. Precipitation was associated with an increasing risk of ST, whereas pressure tended to decrease risk. Compared with median meteorological values, extreme conditions (such as extremely low temperature, extremely low relative humidity, extremely high pressure, and extremely high wind speed) had a protective effect on the incidence of ST. Conversely, extremely high precipitation and extremely low pressure were associated with an elevated risk of ST. Geodetector analysis revealed the following explanatory power for the spatially stratified heterogeneity of ST: temperature (0.357) > relative humidity (0.351) > pressure (0.275) > precipitation (0.225) > wind speed (0.223). Temperature and relative humidity emerged as the most critical indicators affecting ST. Furthermore, the incidence of ST was driven by the combined effects of multiple meteorological factors. CONCLUSIONS: The incidence of ST in Jiangxi Province is significantly influenced by meteorological factors, with both lag effects and nonlinear relationships. Temperature and relative humidity are the key indicators affecting ST. The consideration of meteorological factors is essential for the prevention and control of ST.
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Nie et al. (2025) conducted an observational in Scrub typhus (n=9,129). Meteorological factors (temperature, relative humidity, precipitation, pressure, wind speed) vs. Median meteorological values was evaluated on Incidence of scrub typhus. Meteorological factors, primarily temperature and relative humidity, significantly influenced the incidence of scrub typhus, exhibiting both lag effects and nonlinear relationships.
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