Literature DB >> 28180957

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

Xi-Ling Wang1,2, Lin Yang3, Dai-Hai He4, Alice Py Chiu4, Kwok-Hung Chan5, King-Pan Chan6, Maigeng Zhou7, Chit-Ming Wong6, Qing Guo8, Wenbiao Hu9,10.   

Abstract

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.

Entities:  

Keywords:  Generalized additive model; Influenza; Interaction; Meteorology; Seasonality

Mesh:

Year:  2017        PMID: 28180957     DOI: 10.1007/s00484-016-1284-y

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  33 in total

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Journal:  Am J Epidemiol       Date:  2004-09-01       Impact factor: 4.897

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Journal:  PLoS Biol       Date:  2010-02-23       Impact factor: 8.029

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Review 8.  Basic problems in interaction assessment.

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9.  Environmental predictors of seasonal influenza epidemics across temperate and tropical climates.

Authors:  James D Tamerius; Jeffrey Shaman; Wladimir J Alonso; Wladmir J Alonso; Kimberly Bloom-Feshbach; Christopher K Uejio; Andrew Comrie; Cécile Viboud
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  9 in total

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Journal:  Int J Biometeorol       Date:  2018-05-26       Impact factor: 3.787

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Authors:  M Pan; H P Yang; J Jian; Y Kuang; J N Xu; T S Li; X Zhou; W L Wu; Z Zhao; C Wang; W Y Li; M Y Li; S S He; L L Zhou
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

4.  Meteorological factors and the incidence of mumps in Fujian Province, China, 2005-2013: Non-linear effects.

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Journal:  Sci Total Environ       Date:  2017-11-22       Impact factor: 7.963

5.  The association between the seasonality of pediatric pandemic influenza virus outbreak and ambient meteorological factors in Shanghai.

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6.  Effects of temperature, humidity, and diurnal temperature range on influenza incidence in a temperate region.

Authors:  Ji-Eun Park; Woo-Sik Son; Yeonhee Ryu; Soo Beom Choi; Okyu Kwon; Insung Ahn
Journal:  Influenza Other Respir Viruses       Date:  2019-10-21       Impact factor: 4.380

7.  Association among sentinel surveillance, meteorological factors, and infectious disease in Gwangju, Korea.

Authors:  You Hyun Joung; Tae Su Jang; Jae Kyung Kim
Journal:  Environ Sci Pollut Res Int       Date:  2021-10-20       Impact factor: 5.190

8.  The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China.

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9.  The correlation between atmospheric visibility and influenza in Wuxi city, China.

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  9 in total

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