Changing patterns of the temperature-mortality association by time and location in the US, and implications for climate change.

ABSTRACT: The shape of the non-linear relationship between temperature and mortality varies among cities with different climatic conditions. There has been little examination of how these curves change over space and time. We evaluated the short-term effects of hot and cold temperatures on daily mortality over six 7-year periods in 211 US cities, comprising over 42 million deaths. Cluster analysis was used to group the cities according to similar temperatures and relative humidity. Temperature-mortality functions were calculated using B-splines to model the heat effect (lag 0) and the cold effect on mortality (moving average lags 1-5). The functions were then combined through meta-smoothing and subsequently analyzed by meta-regression. We identified eight clusters. At lag 0, Cluster 5 (West Coast) h

SUBMITTER: Nordio F 

PROVIDER: S-EPMC4780576 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature