Variaciones espacio-temporales de la mortalidad por COVID-19 durante las cuatro olas de propagación en Argentina, 2020-2022.
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| Title: | Variaciones espacio-temporales de la mortalidad por COVID-19 durante las cuatro olas de propagación en Argentina, 2020-2022. |
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| Alternate Title: | Spatiotemporal variations in COVID-19 mortality during the four waves of spread in Argentina, 2020-2022. Variações espaço-temporais na mortalidade por COVID-19 durante as quatro ondas de propagação na Argentina, 2020-2022. |
| Authors: | Leveau, Carlos Marcelo1 cmleveau@hotmail.com |
| Source: | Revista Facultad Nacional de Salud Pública. 2025, Vol. 43, p1-14. 14p. |
| Subjects: | SPATIOTEMPORAL processes, POPULATION density, COUNTRIES, PUBLIC health surveillance, COVID-19 pandemic, SOCIOECONOMICS |
| Geographic Terms: | ARGENTINA, BUENOS Aires (Argentina) |
| Abstract (English): | Objective: To analyze the emergence of spatiotemporal clusters of COVID-19 mortality, during the four waves of spread in Argentina, between 2020 and 2022, characterizing them by their level of population density and socioeconomic level. Methods: Retrospective ecological study design applied to deaths from COVID-19, in populations under 60 years of age and 60 years of age or older, occurring in Argentina from 2020 to 2022. The spatial units (n = 527) were departments or similar areas. The spatiotemporal permutation scanning technique was used to detect high and low mortality clusters. These were compared with each other in terms of population density level and socioeconomic level. Results: In the population under 60 years of age, there was hierarchical diffusion, affecting Greater Buenos Aires, in the first wave, while, in the third, high mortality clusters tended to be located in areas of low socioeconomic level. In the population aged 60 or older, there were hierarchical mortality diffusions in the first, third and fourth waves. With the exception of the second and third waves, high mortality clusters tended to be located in areas of high socioeconomic level, compared to low mortality clusters. Conclusion: Although Greater Buenos Aires-La Plata --the most populated area in the country-- was the hardest hit in terms of mortality in both the first and third waves, the spatiotemporal heterogeneity of the clusters detected in the four waves suggests the reinforcement of the geographical representativeness of virological and epidemiological surveillance in the Argentine territory. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | Objetivo: Analizar la emergencia de los conglomerados espacio-temporales de la mortalidad por COVID-19, durante las cuatro olas de propagación en Argentina, entre 2020 y 2022, caracterizándolos por su nivel de densidad poblacional y nivel socioeconómico. Métodos: Diseño de estudio ecológico retrospectivo aplicado a las muertes por COVID-19, en poblaciones de menos de 60 años y de 60 o más años, ocurridas en Argentina de 2020 a 2022. Las unidades espaciales (n = 527) fueron los departamentos o áreas similares. Se empleó la técnica de escaneo espacio-temporal por permutaciones para la detección de los conglomerados de mortalidad alta y baja. Estos fueron comparados entre sí en términos del nivel de densidad poblacional y nivel socioeconómico. Resultados: En la población menor de 60 años hubo difusión jerárquica, afectando al Gran Buenos Aires, en la primera ola, mientras, en la tercera, los conglomerados de mortalidad alta tendieron a localizarse en áreas de nivel socioeconómico bajo. En la población de 60 o más años hubo difusiones de la mortalidad de tipo jerárquica en las olas primera, tercera y cuarta. A excepción de las olas segunda y tercera, los conglomerados de mortalidad alta tendieron a localizarse en áreas de nivel socioeconómico alto, en comparación con los conglomerados de mortalidad baja. Conclusión: Si bien el Gran Buenos Aires-La Plata --área más poblada del país-- fue el más golpeado en términos de mortalidad tanto en las olas primera y tercera, la heterogeneidad espacio-temporal de los conglomerados detectados en las cuatro olas sugiere el reforzamiento de la representatividad geográfica de la vigilancia virológica y epidemiológica en el territorio argentino. [ABSTRACT FROM AUTHOR] |
| Abstract (Portuguese): | Objetivo: Analisar o surgimento de aglomerados espaço-temporais de mortalidade por COVID-19, durante as quatro ondas de propagação na Argentina, entre 2020 e 2022, caracterizando-os pelo seu nível de densidade populacional e nível socioeconômico. Métodos: Desenho de estudo ecológico retrospectivo aplicado a mortes por COVID-19, em populações menores de 60 anos e 60 ou mais anos de idade, ocorridas na Argentina de 2020 a 2022. As unidades espaciais (n = 527) foram os departamentos ou áreas semelhantes. A técnica de varredura de permutação espaço-temporal foi utilizada para detectar clusters de alta e baixa mortalidade. Estes foram comparados entre si em termos do nível de densidade populacional e do nível socioeconómico. Resultados: Na população com menos de 60 anos houve difusão hierárquica, afetando a Grande Buenos Aires, na primeira onda, enquanto, na terceira, os aglomerados de alta mortalidade tenderam a localizar-se em áreas de baixo nível socioeconômico. Na população com 60 anos ou mais, ocorreram difusões hierárquicas de mortalidade na primeira, terceira e quarta ondas. Com excepção da segunda e terceira vagas, os aglomerados de mortalidade elevada tenderam a estar localizados em áreas de estatuto socioeconómico elevado, em comparação com os aglomerados de baixa mortalidade. Conclusão: Embora a Grande Buenos Aires-La Plata - a área mais populosa do país - tenha sido a mais atingida em termos de mortalidade tanto na primeira quanto na terceira ondas, a heterogeneidade espaço-temporal dos clusters detectados nas quatro ondas sugere o reforço da representatividade geográfica da vigilância virológica e epidemiológica no território argentino. [ABSTRACT FROM AUTHOR] |
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| Database: | MedicLatina |
| Abstract: | Objective: To analyze the emergence of spatiotemporal clusters of COVID-19 mortality, during the four waves of spread in Argentina, between 2020 and 2022, characterizing them by their level of population density and socioeconomic level. Methods: Retrospective ecological study design applied to deaths from COVID-19, in populations under 60 years of age and 60 years of age or older, occurring in Argentina from 2020 to 2022. The spatial units (n = 527) were departments or similar areas. The spatiotemporal permutation scanning technique was used to detect high and low mortality clusters. These were compared with each other in terms of population density level and socioeconomic level. Results: In the population under 60 years of age, there was hierarchical diffusion, affecting Greater Buenos Aires, in the first wave, while, in the third, high mortality clusters tended to be located in areas of low socioeconomic level. In the population aged 60 or older, there were hierarchical mortality diffusions in the first, third and fourth waves. With the exception of the second and third waves, high mortality clusters tended to be located in areas of high socioeconomic level, compared to low mortality clusters. Conclusion: Although Greater Buenos Aires-La Plata --the most populated area in the country-- was the hardest hit in terms of mortality in both the first and third waves, the spatiotemporal heterogeneity of the clusters detected in the four waves suggests the reinforcement of the geographical representativeness of virological and epidemiological surveillance in the Argentine territory. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 0120386X |
| DOI: | 10.17533/udea.rfnsp.e357084 |
