Spatiotemporal ecological study of COVID-19 mortality in the city of Sao Paulo, Brazil: Shifting of the high mortality risk from areas with the best to those with the worst socio-economic conditions

Autor(es)

Moralejo Bermudi, Patricia Marques ^[1] ; Lorenz, Camila ^[1] ; de Aguiar, Breno Souza ^[2] ; Failla, Marcelo Antunes ^[2] ; Barrozo, Ligia Vizeu ^{[3, 4]} ; Chiaravalloti-Neto, Francisco ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Epidemiol, Fac Saude Publ, Sao Paulo, SP - Brazil

^[2] Coordenacao Epidemiol & Informacao CEInfo Secreta, Gerencia Geoproc & Informacoes Socioambientais GI, Sao Paulo, SP - Brazil

^[3] Univ Sao Paulo, Fac Filosofia Letras & Ciencias Humanas, Dept Geog, Sao Paulo, SP - Brazil

^[4] Univ Sao Paulo, Inst Estudos Avancados, Sao Paulo, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: TRAVEL MEDICINE AND INFECTIOUS DISEASE; v. 39, JAN-FEB 2021.
• Citações Web of Science: 0

Resumo

Background: Currently, Brazil is experiencing one of the fastest increasing coronavirus disease (COVID-19) mortality rates worldwide, with a minimum of 158,000 confirmed deaths presently. The city of Sao Paulo is particularly vulnerable because it is the most populated city in Brazil. Thus, this study aimed to analyse COVID-19 mortality in a spatiotemporal context in Sao Paulo, with respect to socio-economic levels. Method: We modelled the deaths using spatiotemporal architectures and Poisson probability distributions using a latent Gaussian Bayesian model approach. Results: Both total deaths and confirmed deaths showed similar spatial patterns. Mortality was higher in men and increased with age. The most critical period regarding mortality occurred between the 20th and 23rd epidemiological weeks, followed by an apparent stabilisation of the epidemiological trend. The risk of death was greater in areas with the worst social conditions during the study period. However, this pattern was not uniform over time, since we identified a shift of high risk from the areas with the best socio-economic conditions to those with the worst conditions. Conclusions: Our study corroborated the relationship between COVID-19 mortality and socio-economic conditions, revealing the importance of geographic screening in the integration of better actions to face the pandemic. (AU)

• Processo FAPESP: 17/10297-1 - Identificação de áreas de risco para arboviroses utilizando armadilhas para adultos de Aedes aegypti e Aedes albopictus e imagens de sensoriamento remoto
• Beneficiário: Camila Lorenz
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado