[Geographic variability, health inequities and lethality due to COVID-19 in Bariloche, Río Negro, 2020-2021].

Autor: Tortosa F; Carrera de Medicina, Universidad Nacional de Río Negro, Argentina. E-mail: fgtortosa@unrn.edu.ar., Perre F; Hospital Provincial de Neuquén Castro Rendón, Argentina., Carrasco G; Red Argentina Pública de Evaluación de Tecnologías Sanitarias, Argentina., De Lusarreta G; Ministerio de Salud de Río Negro, Argentina., Artola N; Carrera de Medicina, Universidad Nacional de Río Negro, Argentina., Prandi D; Hospital área Programa Bariloche Ramón Carrillo, Argentina., Bustamante R; Hospital área Programa Bariloche Ramón Carrillo, Argentina., Guaresti G; Carrera de Medicina, Universidad Nacional de Río Negro, Argentina., Izcovich A; Hospital Alemán de Buenos Aires, Argentina.
Jazyk: Spanish; Castilian
Zdroj: Medicina [Medicina (B Aires)] 2024; Vol. 84 (1), pp. 29-46.
Abstrakt: Introduction: The objective of this study was to analyze the geographic variability and the relationship between social determinants of health and COVID-19 lethality in Bariloche.
Methods: A database from the National Epidemiological Surveillance System was used to analyze COVID-19 positive cases from January 2020 to December 2021. The data were geocoded and incorporated into a geographic information system (GIS). A three-step analytical framework was applied to measure health inequity, using socioeconomic indicators and access to services. A multivariate analysis was conducted to predict fatality.
Results: A total of 25 020 COVID-19 cases were diagnosed in Bariloche during the study period. The fatality rate was 2.1%. Significant variability in socioeconomic indicators was observed among different territorial delegations of the city.
Discussion: The results showed health inequities and an association between social determinants and COVID-19 lethality in Bariloche. Individuals living in areas with higher socioeconomic vulnerability had a higher risk of mortality. These findings highlight the importance of addressing health inequities in a pandemic response.
Databáze: MEDLINE