Epidemic Characteristics and Meteorological Risk Factors of Hemorrhagic Fever With Renal Syndrome in 151 Cities in China From 2015 to 2021: Retrospective Analysis

• Published in: JMIR public health and surveillance Vol. 10; p. e52221
• Main Authors: Luo, Yizhe, Zhang, Longyao, Xu, Yameng, Kuai, Qiyuan, Li, Wenhao, Wu, Yifan, Liu, Licheng, Ren, Jiarong, Zhang, Lingling, Shi, Qiufang, Liu, Xiaobo, Tan, Weilong
• Format: Journal Article
• Language: English
• Published: Canada JMIR Publications 05.06.2024
• Subjects: Adult; China - epidemiology; Cities; Cities - epidemiology; Climate change; Environmental impact; Epidemics; Female; Fever; Health risks; Hemorrhagic Fever with Renal Syndrome - epidemiology; Humans; Humidity; Incidence; Infectious diseases; Low temperature; Male; Meteorological Concepts; Multimedia; Original Paper; Precipitation; Public health; Relative humidity; Retrospective Studies; Risk Factors; Seasonal variations; Subtropical zones; Variables; China; distributed lag nonlinear model; meteorological factors; China; HFRS; hemorrhagic fever with renal syndrome; climate change
• ISSN: 2369-2960; 2369-2960
• DOI: 10.2196/52221

Hemorrhagic fever with renal syndrome (HFRS) continues to pose a significant public health threat to the population in China. Previous epidemiological evidence indicates that HFRS is climate sensitive and influenced by meteorological factors. However, past studies either focused on too-narrow geographical regions or investigated time periods that were too early. There is an urgent need for a comprehensive analysis to interpret the epidemiological patterns of meteorological factors affecting the incidence of HFRS across diverse climate zones. In this study, we aimed to describe the overall epidemic characteristics of HFRS and explore the linkage between monthly HFRS cases and meteorological factors at different climate levels in China. The reported HFRS cases and meteorological data were collected from 151 cities in China during the period from 2015 to 2021. We conducted a 3-stage analysis, adopting a distributed lag nonlinear model and a generalized additive model to estimate the interactions and marginal effects of meteorological factors on HFRS. This study included a total of 63,180 cases of HFRS; the epidemic trends showed seasonal fluctuations, with patterns varying across different climate zones. Temperature had the greatest impact on the incidence of HFRS, with the maximum hysteresis effects being at 1 month (-19 ºC; relative risk [RR] 1.64, 95% CI 1.24-2.15) in the midtemperate zone, 0 months (28 ºC; RR 3.15, 95% CI 2.13-4.65) in the warm-temperate zone, and 0 months (4 ºC; RR 1.72, 95% CI 1.31-2.25) in the subtropical zone. Interactions were discovered between the average temperature, relative humidity, and precipitation in different temperature zones. Moreover, the influence of precipitation and relative humidity on the incidence of HFRS had different characteristics under different temperature layers. The hysteresis effect of meteorological factors did not end after an epidemic season, but gradually weakened in the following 1 or 2 seasons. Weather variability, especially low temperature, plays an important role in epidemics of HFRS in China. A long hysteresis effect indicates the necessity of continuous intervention following an HFRS epidemic. This finding can help public health departments guide the prevention and control of HFRS and develop strategies to cope with the impacts of climate change in specific regions.