Different responses of influenza epidemic to weather factors among Shanghai, Hong Kong, and British Columbia

被引:0
作者
Xi-Ling Wang
Lin Yang
Dai-Hai He
Alice PY Chiu
Kwok-Hung Chan
King-Pan Chan
Maigeng Zhou
Chit-Ming Wong
Qing Guo
Wenbiao Hu
机构
[1] Fudan University,Department of Biostatistics, School of Public Health and Key Laboratory of Public Health Safety
[2] Shanghai Key Laboratory of Meteorology and Health,School of Nursing
[3] The Hong Kong Polytechnic University,Department of Applied Mathematics
[4] The Hong Kong Polytechnic University,Department of Microbiology
[5] The University of Hong Kong,School of Public Health
[6] The University of Hong Kong,National Center for Chronic and Noncommunicable Disease Control and Prevention
[7] Chinese Center for Disease Control and Prevention,Center for Public Health Surveillance and Information Service
[8] Chinese Center for Disease Control and Prevention,School of Public Health and Social Work, The Institute of Health and Biomedical Innovation
[9] Queensland University of Technology,undefined
来源
International Journal of Biometeorology | 2017年 / 61卷
关键词
Influenza; Seasonality; Meteorology; Interaction; Generalized additive model;
D O I
暂无
中图分类号
学科分类号
摘要
Weather factors have long been considered as key sources for regional heterogeneity of influenza seasonal patterns. As influenza peaks coincide with both high and low temperature in subtropical cities, weather factors may nonlinearly or interactively affect influenza activity. This study aims to assess the nonlinear and interactive effects of weather factors with influenza activity and compare the responses of influenza epidemic to weather factors in two subtropical regions of southern China (Shanghai and Hong Kong) and one temperate province of Canada (British Columbia). Weekly data on influenza activity and weather factors (i.e., mean temperature and relative humidity (RH)) were obtained from pertinent government departments for the three regions. Absolute humidity (AH) was measured by vapor pressure (VP), which could be converted from temperature and RH. Generalized additive models were used to assess the exposure-response relationship between weather factors and influenza virus activity. Interactions of weather factors were further assessed by bivariate response models and stratification analyses. The exposure-response curves of temperature and VP, but not RH, were consistent among three regions/cities. Bivariate response model revealed a significant interactive effect between temperature (or VP) and RH (P < 0.05). Influenza peaked at low temperature or high temperature with high RH. Temperature and VP are important weather factors in developing a universal model to explain seasonal outbreaks of influenza. However, further research is needed to assess the association between weather factors and influenza activity in a wider context of social and environmental conditions.
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页码:1043 / 1053
页数:10
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