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ABSTRACT: Background
Enteric infections cause significant deaths, and global projection studies suggest that mortality from enteric infections will increase in the future with warmer climate. However, a major limitation of these projection studies is the use of risk estimates derived from nonmortality data to project excess enteric infection mortality associated with temperature because of the lack of studies that used actual deaths.Objective
We quantified the associations of daily temperature with both mortality and hospital admissions due to enteric infections in the Philippines. These associations were applied to projections under various climate and population change scenarios.Methods
We modeled nonlinear temperature associations of mortality and hospital admissions due t
SUBMITTER: Chua PLC
PROVIDER: S-EPMC8860302 | biostudies-literature | 2022 Feb
REPOSITORIES: biostudies-literature