Evidence map›Paper›PMID 33609968›Full record

ArticleSocial science & medicine (1982)2021

Geographic access to COVID-19 healthcare in Brazil using a balanced float catchment area approach.

Rafael H M Pereira, Carlos Kauê Vieira Braga, Luciana Mendes Servo, Bernardo Serra, Pedro Amaral, Nelson Gouveia, Antonio Paez

Open access · greenAbstract read
In one paragraph

Article in Social science & medicine (1982), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
31.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 136 citations in OpenAlex.

  1. Article
  2. Article
  3. Infrastructure-health nexus in Brazil: a scoping review.Global health research and policy · 2025
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  13. Review
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  18. Facility or Transport Inequality? Decomposing Healthcare Accessibility Inequality in Shenzhen, China.International journal of environmental research and public health · 2022
    Article
  19. Article
  20. COVID-19's intra-urban inequalities and social vulnerability in a medium-sized city.Revista da Sociedade Brasileira de Medicina Tropical · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Rafael H M PereiraInstitute for Applied Economic Research - Ipea, Brazil. Electronic address: rafael.pereira@ipea.gov.br.
Carlos Kauê Vieira BragaInstitute for Applied Economic Research - Ipea, Brazil.
Luciana Mendes ServoInstitute for Applied Economic Research - Ipea, Brazil.
Bernardo SerraInstitute for Transport Policy & Development - ITDP Brazil, Brazil.
Pedro AmaralCentre for Development and Regional Planning (CEDEPLAR) at Universidade Federal de Minas Gerais (UFMG), Brazil.
Nelson GouveiaDepartment of Preventive Medicine, University of São Paulo Medical School (FMUSP), Brazil.
Antonio PaezSchool of Earth, Environment, and Society, McMaster University, Canada.
Institute of Applied Economic Research · BRMcMaster University · CAUniversidade de São Paulo · BRUniversidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid spread of COVID-19 across the world has raised concerns about the responsiveness of cities and healthcare systems during pandemics. Recent studies try to model how the number of COVID-19 infections will likely grow and impact the demand for hospitalization services at national and regional levels. However, less attention has been paid to the geographic access to COVID-19 healthcare services and to hospitals' response capacity at the local level, particularly in urban areas in the Global South. This paper shows how transport accessibility analysis can provide actionable information to help improve healthcare coverage and responsiveness. It analyzes accessibility to COVID-19 healthcare at high spatial resolution in the 20 largest cities of Brazil. Using network-distance metrics, we estimate the vulnerable population living in areas with poor access to healthcare facilities that could either screen or hospitalize COVID-19 patients. We then use a new balanced floating catchment area (BFCA) indicator to estimate spatial, income, and racial inequalities in access to hospitals with intensive care unit (ICU) beds and mechanical ventilators while taking into account congestion effects. Based on this analysis, we identify substantial social and spatial inequalities in access to health services during the pandemic. The availability of ICU equipment varies considerably between cities, and it is substantially lower among black and poor communities. The study maps territorial inequalities in healthcare access and reflects on different policy lessons that can be learned for other countries based on the Brazilian case.

Indexed as

Catchment Area, HealthCOVID-19Health Services AccessibilityPandemicsBrazilHumansSARS-CoV-2AccessibilityBrazilCOVID-19EquityFloating catchment areaICURaceVentilators

Identifiers

PMID33609968
PMCPMC7879934
OpenAlexW3132800520

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.