School of Public Health, The University of Adelaide, Adelaide, South Australia 5005, Australia.
State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Sci Total Environ. 2018 Sep 15;636:1249-1256. doi: 10.1016/j.scitotenv.2018.04.407. Epub 2018 May 9.
This study aims to investigate the associations between meteorological factors and hemorrhagic fever with renal syndrome (HFRS) in 19 cities selected from HFRS high risk areas across different climate zones in three Provinces of China. De-identified daily reports of HFRS in Anhui, Heilongjiang, and Liaoning Provinces for 2005-2014 were obtained from the Chinese Center for Disease Control and Prevention. Daily weather data from each study location were obtained from the China meteorological Data Sharing Service System. Generalised estimating equation models (GEE) were used to quantify the city-specific HFRS-weather associations. Multivariate random-effects meta-regression models were used to pool the city-specific HFRS-weather effect estimates. HFRS showed an overall downward trend during the study period with a slight rebound after 2010. Meteorological factors were significantly associated with HFRS incidence. HFRS was relatively more sensitive to weather variability in subtropical regions (Anhui Province) than in temperate regions (Heilongjiang and Liaoning Provinces). The size of effect estimates and the duration of lagged effects varied by locations. Pooled results of the 19 cities showed that a 1 °C increase in maximum temperature (T) resulted in a 1.6% (95% CI: 1.0%-2.2%) increase in HFRS; a 1 mm increase in weekly precipitation was associated with 0.2% (95%CI: 0.1%-0.3%) increase in HFRS; a 1% increase in average relative humidity was associated with a 0.9% (95%CI: 0.5%-1.2%) increase in HFRS. The lags with the largest effects for T, precipitation, and relative humidity occurred in weeks 29, 22, and 16, respectively. Lagged effects of meteorological factors did not end after an epidemic season but waned gradually in the following 3-4 epidemic seasons. Weather variability plays a significant role in HFRS transmission in China. The long duration of lagged effects indicates the necessity of continuous interventions following the epidemics.
本研究旨在调查气象因素与中国三省不同气候带 19 个 HFRS 高危地区城市间的关系。从中国疾病预防控制中心获得了 2005-2014 年安徽、黑龙江和辽宁省肾综合征出血热(HFRS)的每日报告。从中国气象数据共享服务系统获得了每个研究地点的每日天气数据。使用广义估计方程模型(GEE)量化了特定城市的 HFRS-天气关联。使用多变量随机效应荟萃回归模型对特定城市的 HFRS-天气效应估计值进行了汇总。HFRS 在研究期间呈总体下降趋势,2010 年后略有反弹。气象因素与 HFRS 发病率显著相关。HFRS 对亚热带地区(安徽省)的天气变化比温带地区(黑龙江省和辽宁省)更为敏感。效应估计值的大小和滞后效应的持续时间因地点而异。19 个城市的汇总结果表明,最高温度(T)每升高 1°C,HFRS 发病率增加 1.6%(95%置信区间:1.0%-2.2%);每周降水量增加 1 毫米,HFRS 发病率增加 0.2%(95%置信区间:0.1%-0.3%);平均相对湿度增加 1%,HFRS 发病率增加 0.9%(95%置信区间:0.5%-1.2%)。T、降水和相对湿度的最大滞后效应分别发生在第 29、22 和 16 周。气象因素的滞后效应在一个流行季后不会结束,而是在随后的 3-4 个流行季后逐渐减弱。天气变化在中国 HFRS 传播中起着重要作用。滞后效应的持续时间较长表明在流行季后需要持续干预。