Assessment of extreme heat and hospitalizations to inform early warning systems.

ABSTRACT: Heat early warning systems and action plans use temperature thresholds to trigger warnings and risk communication. In this study, we conduct multistate analyses, exploring associations between heat and all-cause and cause-specific hospitalizations, to inform the design and development of heat-health early warning systems. We used a two-stage analysis to estimate heat-health risk relationships between heat index and hospitalizations in 1,617 counties in the United States for 2003-2012. The first stage involved a county-level time series quasi-Poisson regression, using a distributed lag nonlinear model, to estimate heat-health associations. The second stage involved a multivariate random-effects meta-analysis to pool county-specific exposure-response associations across larger geographic sca

SUBMITTER: Vaidyanathan A 

PROVIDER: S-EPMC6431221 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature