Weather variability and influenza A (H7N9) transmission in Shanghai, China: a Bayesian spatial analysis.

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Abstract

A novel avian influenza A (H7N9) virus was first found in humans in Shanghai, and infected over 433 patients in China. To date, very little is known about the spatiotemporal variability or environmental drivers of the risk of H7N9 infection. This study explored the spatial and temporal variation of H7N9 infection and assessed the effects of temperature and rainfall on H7N9 incidence.

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Journal

Journal ID (iso-abbrev): Environ. Res.

Title: Environmental research

ISSN (Electronic): 1096-0953

ISSN (Print): 0013-9351

Publication date (Electronic): Jan 2015

Volume: 136

Affiliations

[1 ] School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia. Electronic address: w2.hu@qut.edu.au.

[2 ] Institute of Disease Control and Prevention, Academy of Military Medical Science, Beijing, People's Republic of China.

[3 ] School of Population Health, the University of Queensland, Brisbane, Queensland, Australia.

[4 ] Research School of Population Health, The Australian National University, Australia.

[5 ] Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

[6 ] School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.

Article

Publisher Item ID: S0013-9351(14)00339-9

DOI: 10.1016/j.envres.2014.07.033

PubMed ID: 25460662

SO-VID: f7cceb05-211c-4b32-831e-5160563ca448

History

Keywords: Avian influenza,H7N9 virus,Spatial Bayesian conditional autoregressive model

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Keywords: Avian influenza, H7N9 virus, Spatial Bayesian conditional autoregressive model

Weather variability and influenza A (H7N9) transmission in Shanghai, China: a Bayesian spatial analysis.

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Decoding Infection and Transmission

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