Evidence map›Paper›PMID 33983953›Full record

ArticlePloS one2021

Primary health care and social isolation against COVID-19 in Northeastern Brazil: Ecological time-series study.

Sanderson José Costa de Assis, Johnnatas Mikael Lopes, Marcello Barbosa Otoni Gonçalves Guedes, Geronimo José Bouzas Sanchis, Diego Neves Araujo, Angelo Giuseppe Roncalli

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

6 authors.

Sanderson José Costa de AssisPublic Health Program, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.ORCID 0000-0002-7149-2335
Johnnatas Mikael LopesMedicine Department, Universidade Federal do Vale do São Francisco, Bahia, Brazil.
Marcello Barbosa Otoni Gonçalves GuedesPhysical Therapy Department, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Geronimo José Bouzas SanchisPublic Health Program, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Diego Neves AraujoMedicine Department, College of Health Sciences, Paraíba, Brazil.
Angelo Giuseppe RoncalliPublic Health Program, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrazil is witnessing a massive increase of corona virus disease (COVID-19). Its peculiar primary health care (PHC) system faces a burden due to the contagion occurring in the community environment. Then, the aim is to estimate the effect of the coverage of primary health care and social isolation on the evolution of confirmed cases and deaths by COVID-19, controlling sociodemographic, economic and health system aspects.

methodsA time series design was designed with data on diagnosed cases of COVID-19 and their deaths as outcomes in the capital cities of the Northeast region of Brazil. Independent variables such as PHC coverage, hospital beds, social isolation, demographic density, Gini index and other indicators were analyzed. A Autoregressive Generalized Linear Model method was applied for model the relationship.

resultsWe identified an exponential growth of cases (y = 0.00250.71x; p-value<0,001). However, there is a high variability in the occurrence of outcomes. PHC coverage≥75% (χ2 = 9.27; p-value = 0.01) and social isolation rate (χ2 = 365.99; p-value<0.001) proved to be mitigating factors for the spread of COVID-19 and its deaths. Capitals with hospital beds ≥ 3.2 per thousand inhabitants had fewer deaths (χ2 = 9.02; p-value = 0.003), but this was influenced by PHC coverage (χ2 = 30,87; p-value<0.001).

conclusionsPHC mitigates the occurrence of Covid-19 and its deaths in a region of social vulnerability in Brazil together with social isolation. However, it is not known until when the system will withstand the overload in view of the low adhesion to social isolation, the lack of support and appropriate direction from the government to its population.

Indexed as

BrazilCitiesCOVID-19HospitalizationHumansPrimary Health CareSARS-CoV-2Social IsolationTime Factors

Identifiers

PMID33983953
PMCPMC8118249

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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.