Evidence map›Paper›PMID 40073047›Full record

ArticlePloS one2025

The territorialization of Severe Acute Respiratory Syndrome and its socioeconomic, demographic and public health policy risk factors in Belém, state of Pará, Eastern Amazon, Brazil: a cross-sectional and ecological study.

Nelson Veiga Gonçalves, Alessandra Lima Leal, Heloisa Maria Melo E Silva Guimarães, Arthur Carneiro Bernardes, Silvana Rossy de Brito, Taiana Moita Koury Alves, Tainara Carvalho Garcia Miranda Filgueiras, Thayse Moraes de Moraes, Matheus Pereira do Couto Rocha, Renan Faria Cardoso and 2 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

12 authors.

Nelson Veiga GonçalvesLaboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Pará (UEPA), Belém, Brazil.
Alessandra Lima LealLaboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Pará (UEPA), Belém, Brazil.
Heloisa Maria Melo E Silva GuimarãesLaboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Pará (UEPA), Belém, Brazil.
Arthur Carneiro BernardesLaboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Pará (UEPA), Belém, Brazil.
Silvana Rossy de BritoCyberspace Institute, Federal Rural University of Amazon (UFRA), Belém, Brazil.
Taiana Moita Koury AlvesLaboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Pará (UEPA), Belém, Brazil.
Tainara Carvalho Garcia Miranda FilgueirasLaboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Pará (UEPA), Belém, Brazil.
Thayse Moraes de MoraesLaboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Pará (UEPA), Belém, Brazil.ORCID https://orcid.org/0000-0002-3509-6503
Matheus Pereira do Couto RochaLaboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Pará (UEPA), Belém, Brazil.ORCID https://orcid.org/0009-0002-0961-4175
Renan Faria CardosoLaboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Pará (UEPA), Belém, Brazil.
Bruno Yudi Shimomaebara SousaLaboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Pará (UEPA), Belém, Brazil.ORCID https://orcid.org/0009-0008-7461-9259
Claudia do Socorro Carvalho MirandaLaboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Pará (UEPA), Belém, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe Acute Respiratory Syndrome is an important public health problem in Brazil due to the large number of cases. It has a high mortality rate related to risk factors that include systemic arterial hypertension, type 2 diabetes mellitus, male gender and advanced age. This cross-sectional and ecological study analyzed the spatial distribution of this disease related to the evolution of COVID-19 cases and their epidemiological, demographic, socioeconomic and public health policy conditions in the administrative districts of Belém, state of Pará, in the eastern Brazilian Amazon, from 2021 to 2023. Data from the Ministry of Health, the National Institute for Space Research and the Brazilian Institute of Geography and Statistics were used. The statistical and spatial analysis of the data used the chi-square test of equal expected proportions with a significance level of 0.05% and the techniques of ordinary multivariate linear regression and percentiles, with the results expressed by means of choropleth maps, using the Bioestat 5.4 and Arcgis 10.5.1 software. The epidemiological profile analyzed 3,511 cases, following the national pattern with statistical significance. The pathology was not distributed homogeneously in spatial terms and was associated with a territorial and socioeconomic segregation of the population in the neighborhoods and their administrative districts, with great differences in their demographic characteristics, living conditions and public services for treating the disease, especially when we consider the relationship between the outskirts and the center of the municipality. This has revealed unequal development, which has produced health inequalities in the study area. With that in mind, we emphasize the urgency of expanding these services in the places identified as most vulnerable, with a view to equal care access for the disease.

Indexed as

COVID-19Health PolicyAdolescentAdultAgedBrazilChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMaleMiddle AgedPublic HealthRisk Factors

Identifiers

PMID40073047
PMCPMC11902080

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Registered trials

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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.