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| Título: | Mortality burden and economic loss attributable to cold and heat in Central and South America |
| Autor: | Tobías, Aurelio Íñiguez, Carmen Hurtado Díaz, Magalí Colistro, Valentina |
| Tipo: | Artículo |
| Palabras clave: | Central and South America, Distributed lag nonlinear models, Economic loss, Mortality burden, Multicountry, Nonoptimal temperatures, Time series |
| Descriptores: | FRÍO EXTREMO, CALOR EXTREMO, MORTALIDAD, TEMPERATURAS EXTREMAS, ECONOMÍA, POLÍTICA DE SALUD |
| Fecha de publicación: | 2024 |
| Resumen: | 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. |
| Descripción: | Aurelio Tobías 1 2, Carmen Íñiguez 3 4, Magali Hurtado Díaz 5, Horacio Riojas 5, Luis Abdon Cifuentes 6, Dominic Royé 4 7, Rosana Abrutzky 8, Micheline de Sousa Zanotti Stagliorio Coelho 9, Paulo Hilario Nascimento Saldiva 10, Nicolás Valdés Ortega 11, Patricia Matus Correa 12, Samuel Osorio 5, Gabriel Carrasco 13, Valentina Colistro 14, Mathilde Pascal 15, Olivier Chanel 16, Lina Madaniyazi 2, Antonio Gasparrini 17 Affiliations 1Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain. 2School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan. 3Department of Statistics and Computational Research, University of Valencia, Valencia, Spain. 4CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. 5Department of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico. 6Department of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile. 7Climate Research Foundation (FIC), Madrid, Spain. 8Facultad de Ciencias Sociales, Instituto de Investigaciones Gino Germani, Universidad de Buenos Aires, Buenos Aires, Argentina. 9Department of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil. 10Department of Environmental Health, University of São Paulo, São Paulo, Brazil. 11Centro Interdisciplinario de Cambio Global, Pontificia, Universidad Católica de Chile, Santiago, Chile. 12Department of Public Health, Universidad de los Andes, Santiago, Chile. 13Institute of Tropical Medicine "Alexander von Humboldt," Universidad Peruana Cayetano Heredia, Lima, Perú. 14Department of Quantitative Methods, School of Medicine, University of the Republic, Montevideo, Uruguay. 15Santé Publique France, Department of Environmental and Occupational Health, French National Public Health Agency, Saint Maurice, France. 16Aix Marseille University, CNRS, AMSE, Marseille, France. 17Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom. |
| Editorial: | Wolters Kluwer |
| EN: | Environmental Epidemiology. 2024;8(6) |
| Citación: | Tobías A, Íñiguez C, Hurtado Díaz M y otros. Mortality burden and economic loss attributable to cold and heat in Central and South America. Environmental Epidemiology [en línea]. 2024;8(6). 6 p. |
| Cobertura geográfica: | SUDAMÉRICA CENTROAMÉRICA |
| Licencia: | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| Aparece en las colecciones: | Publicaciones Académicas y Científicas - Facultad de Medicina |
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