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ABSTRACT: Background
We quantify the mortality burden and economic loss attributable to nonoptimal temperatures for cold and heat in the Central and South American countries in the Multi-City Multi-Country (MCC) Collaborative Research Network.Methods
We collected data for 66 locations from 13 countries in Central and South America to estimate location-specific temperature-mortality associations using time-series regression with distributed lag nonlinear models. We calculated the attributable deaths for cold and heat as the 2.5th and 97.5th temperature percentiles, above and below the minimum mortality temperature, and used the value of a life year to estimate the economic loss of delayed deaths.Results
The mortality impact of cold varied widely by country, from 9.64% in Urugu
SUBMITTER: Tobias A
PROVIDER: S-EPMC11469888 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature