TY - JOUR
T1 - Mortality burden and economic loss attributable to cold and heat in Central and South America
AU - Tobías, Aurelio
AU - Íñiguez, Carmen
AU - Hurtado Díaz, Magali
AU - Riojas, Horacio
AU - Cifuentes, Luis Abdon
AU - Royé, Dominic
AU - Abrutzky, Rosana
AU - Coelho, Micheline De Sousa Zanotti Stagliorio
AU - Saldiva, Paulo Hilario Nascimento
AU - Valdés Ortega, Nicolás
AU - Matus Correa, Patricia
AU - Osorio, Samuel
AU - Carrasco, Gabriel
AU - Colistro, Valentina
AU - Pascal, Mathilde
AU - Chanel, Olivier
AU - Madaniyazi, Lina
AU - Gasparrini, Antonio
N1 - Publisher Copyright:
© 2024 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved.
PY - 2024/10/10
Y1 - 2024/10/10
N2 - 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 Uruguay to 0.22% in Costa Rica. The heat-attributable fraction for mortality ranged from 1.41% in Paraguay to 0.01% in Ecuador. Locations in arid and temperate climatic zones showed higher cold-related mortality (5.10% and 5.29%, respectively) than those in tropical climates (1.71%). Arid and temperate climatic zones saw lower heat-attributable fractions (0.69% and 0.58%) than arid climatic zones (0.92%). Exposure to cold led to an annual economic loss of $0.6 million in Costa Rica to $472.2 million in Argentina. In comparison, heat resulted in economic losses of $0.05 million in Ecuador to $90.6 million in Brazil. Conclusion: Most of the mortality burden for Central and South American countries is caused by cold compared to heat, generating annual economic losses of $2.1 billion and $290.7 million, respectively. Public health policies and adaptation measures in the region should account for the health effects associated with nonoptimal temperatures.
AB - 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 Uruguay to 0.22% in Costa Rica. The heat-attributable fraction for mortality ranged from 1.41% in Paraguay to 0.01% in Ecuador. Locations in arid and temperate climatic zones showed higher cold-related mortality (5.10% and 5.29%, respectively) than those in tropical climates (1.71%). Arid and temperate climatic zones saw lower heat-attributable fractions (0.69% and 0.58%) than arid climatic zones (0.92%). Exposure to cold led to an annual economic loss of $0.6 million in Costa Rica to $472.2 million in Argentina. In comparison, heat resulted in economic losses of $0.05 million in Ecuador to $90.6 million in Brazil. Conclusion: Most of the mortality burden for Central and South American countries is caused by cold compared to heat, generating annual economic losses of $2.1 billion and $290.7 million, respectively. Public health policies and adaptation measures in the region should account for the health effects associated with nonoptimal temperatures.
KW - Central and South America
KW - Distributed lag nonlinear models
KW - Economic loss
KW - Mortality burden
KW - Multicountry
KW - Nonoptimal temperatures
KW - Time series
UR - https://www.scopus.com/pages/publications/85206900886
U2 - 10.1097/EE9.0000000000000335
DO - 10.1097/EE9.0000000000000335
M3 - Article
AN - SCOPUS:85206900886
SN - 2474-7882
VL - 8
SP - e335
JO - Environmental Epidemiology
JF - Environmental Epidemiology
IS - 6
ER -