作者: Lin Zhu , Zhongshang Yuan , Xianjun Wang , Jie Li , Lu Wang
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摘要: Hand, foot and mouth disease (HFMD) has been a substantial burden throughout the Asia-Pacific countries over past decades. For purposes of prevention climate change health impact assessment, it is important to understand temperature-disease association for HFMD in different geographical locations. This study aims assess temperature on incidence an inland city coastal investigate heterogeneity associations. Daily morbidity data meteorological variables areas were collected period from 2007 2012. A total 108,377 cases included this study. distributed lag non-linear model (DLNM) with Poisson distribution was used examine nonlinear lagged effects daily mean incidence. After controlling potential confounders, showed significant two cities demonstrated modes ( I2= 96.1%; p < 0.01). The results highlight effect pattern may be modified by localities. Our findings can practical reference early warning intervention strategies HFMD.