Evidence map›Paper›PMID 42512232›Full record

ArticleInternational journal of environmental research and public health2026

Territorial Vulnerabilities and Healthcare Capacity During the COVID-19 Pandemic: A Spatiotemporal Study of Hospitalizations and Mortality in a Large Metropolitan Area in Brazil.

Ana Maria Viegas, Selma Costa de Sousa, Diogo Tavares Cardoso, Aline Dayrell Ferreira Sales, Isabela Farnezi Veloso, David Soeiro Barbosa

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Article in International journal of environmental research and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ana Maria ViegasLaboratory of the Epidemiology of Infectious and Parasitic Diseases, Department of Parasitology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil.
Selma Costa de SousaLaboratory of the Epidemiology of Infectious and Parasitic Diseases, Department of Parasitology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil.
Diogo Tavares CardosoLaboratory of the Epidemiology of Infectious and Parasitic Diseases, Department of Parasitology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil.
Aline Dayrell Ferreira SalesGraduate Program in Public Health, School of Medicine, Federal University of Minas Gerais, Belo Horizonte 30130-100, Brazil.
Isabela Farnezi VelosoHealth Department of Contagem, Contagem 32210-110, Brazil.
David Soeiro BarbosaLaboratory of the Epidemiology of Infectious and Parasitic Diseases, Department of Parasitology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to identify priority areas, social vulnerability, and healthcare capacity and networks while considering hospitalization and mortality rates due to Severe Acute Respiratory Syndrome (SARS) caused by COVID-19 during the public health emergency period. MATERIALS AND

methodsA spatiotemporal analysis was performed to assess hospitalization, mortality, and case fatality rates among hospitalized patients due to severe COVID-19 across the municipalities of the Metropolitan Region of Belo Horizonte (MRBH), Brazil, between 2020 and 2022. The findings were contextualized by considering the social vulnerability of the population as well as the healthcare infrastructure and organizational characteristics of municipalities and health regions.

resultsMunicipalities located in the central area of the MRBH showed higher hospitalization rates, corresponding to areas with a greater concentration of healthcare infrastructure. However, mortality and case fatality rates among hospitalized patients were higher in municipalities with more limited healthcare infrastructure and greater social vulnerability.

conclusionThe spatiotemporal disparities in hospitalization and mortality risks suggest health inequities that seem to be influenced by social determinants and healthcare system vulnerabilities. These findings emphasize the imperative for public health emergency responses to prioritize the strengthening of health system organization and the establishment of effective care pathways to enhance access and service delivery, particularly in municipalities exhibiting higher levels of social vulnerability.

Indexed as

COVID-19HospitalizationSocial VulnerabilityBrazilCitiesHumansPandemicsPublic Health InfrastructureSARS-CoV-2Socioeconomic Disparities in HealthSpatio-Temporal Analysishealth equityhealth services accessibilitypublic healthsocial vulnerability

Identifiers

PMID42512232
PMCPMC13410094

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.