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Dataset Information

Assessing mortality risk attributable to high ambient temperatures in Ahmedabad, 1987 to 2017.


ABSTRACT:

Background

Studies on high temperatures and mortality have not focused on underdeveloped tropical regions and have reported the associations of different temperature metrics without conducting model selection.

Methods

We collected daily mortality and meteorological data including ambient temperatures and humidity in Ahmedabad during summer, 1987-2017. We proposed two cross-validation (CV) approaches to compare semiparametric quasi-Poisson models with different temperature metrics and heat wave definitions. Using the fittest model, we estimated heat-mortality associations among general population and subpopulations. We also conducted separate analyses for 1987-2002 and 2003-2017 to evaluate temporal heterogeneity.

Findings

The model with maximum and minimum temperature

SUBMITTER: Wei Y 

PROVIDER: S-EPMC8169607 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature