Impact of temperature on mortality in Hubei, China: a multi-county time series analysis.

ABSTRACT: We examined the impact of extreme temperatures on mortality in 12 counties across Hubei Province, central China, during 2009-2012. Quasi-Poisson generalized linear regression combined with distributed lag non-linear model was first applied to estimate county-specific relationship between temperature and mortality. A multivariable meta-analysis was then used to pool the estimates of county-specific mortality effects of extreme cold temperature (1st percentile) and hot temperature (99th percentile). An inverse J-shaped relationship was observed between temperature and mortality at the provincial level. Heat effect occurred immediately and persisted for 2-3 days, whereas cold effect was 1-2 days delayed and much longer lasting. Higher mortality risks were observed among females, the elderly a

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC5361185 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature