Weather variability and influenza A (H7N9) transmission in Shanghai, China: A Bayesian spatial analysis
Background: 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. Methods: A Bayesian spatial conditional autoregressive (CAR) model was used to assess the...[Show more]
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