ArticleTravel medicine and infectious disease
Spatiotemporal ecological study of COVID-19 mortality in the city of São Paulo, Brazil: Shifting of the high mortality risk from areas with the best to those with the worst socio-economic conditions.
Article in Travel medicine and infectious disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Spatio-Temporal COVID-19 Modeling: A Global Systematic Review of Data Integration, Equity, and Lessons for Pandemic Preparedness.International journal of environmental research and public health · 2026Pooled it
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Spatiotemporal analysis of psychoactive drug consumption in Brazil during the COVID-19 pandemic.PloS one · 2026Article
- Sociodemographic, Clinical, and Ventilatory Factors Influencing COVID-19 Mortality in the ICU of a Hospital in Colombia.Healthcare (Basel, Switzerland) · 2024Article
- COVID-19 mortality: educational inequalities and socio-spatial context in two provinces of Argentina.Revista peruana de medicina experimental y salud publica · 2024Article
- Association of socio-demographic factors with clinical outcome among hospitalized patients in first and second waves of COVID-19 pandemic: Study from the developing world.Journal of family medicine and primary care · 2024Article
- Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia.Scientific reports · 2024Article
- Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina.International journal for equity in health · 2023Article
- Fractal dimension based geographical clustering of COVID-19 time series data.Scientific reports · 2023Article
- Review
- Dichotomous outcomes vs. survival regression models for identification of predictors of mortality among patients with severe acute respiratory illness during COVID-19 pandemics.Frontiers in public health · 2023Article
- Socioeconomic inequality in Latin America and the Caribbean: the post-pandemic future for the training of health professionals.Historia, ciencias, saude--Manguinhos · 2023Review
- COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities.The Lancet. Public health · 2022Review
- Individual genetic variability mainly of Proinflammatory cytokines, cytokine receptors, and toll-like receptors dictates pathophysiology of COVID-19 disease.Journal of medical virology · 2022Review
- Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method.JMIR public health and surveillance · 2022Article
- A joint hierarchical model for the number of cases and deaths due to COVID-19 across the boroughs of Montreal.Spatial and spatio-temporal epidemiology · 2022Article
- Waste management, COVID-19 and occupational safety and health: Challenges, insights and evidence.The Science of the total environment · 2022Article
- Male sex rather than socioeconomic vulnerability as a determinant for COVID-19 death in Sao Paulo: A population-based study.SAGE open medicine · 2022Article
- Article
- Were the socio-economic determinants of municipalities relevant to the increment of COVID-19 related deaths in Brazil in 2020?PloS one · 2022Observational
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently, 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 São 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 São Paulo, with respect to socio-economic levels.
methodWe modelled the deaths using spatiotemporal architectures and Poisson probability distributions using a latent Gaussian Bayesian model approach.
resultsBoth 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.
conclusionsOur 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.
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