Evidence map›Paper›PMID 38536836›Full record

ArticlePloS one2024

Effects of primary health care and socioeconomic aspects on the dispersion of COVID-19 in the Brazilian Northeast: Ecological study of the first pandemic wave.

Luana Resende Cangussú, Jeisyane Acsa Santos Do Nascimento, Igor Rafael Pereira de Barros, Rafael Limeira Cavalcanti, Fábio Galvão Dantas, Diego Neves Araujo, José Felipe Costa da Silva, Thais Sousa Rodrigues Guedes, Matheus Rodrigues Lopes, Johnnatas Mikael Lopes and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Luana Resende CangussúPaulo Afonso Campus, Federal University of Vale do São Francisco, Paulo Afonso, Bahia, Brazil.
Jeisyane Acsa Santos Do NascimentoCampus Central, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.ORCID 0000-0003-3597-2769
Igor Rafael Pereira de BarrosSerra Talhada Campus, University of Pernambuco, Pernambuco, Brazil.
Rafael Limeira CavalcantiCapim Macio Campus, Uninassau Natal, Natal, Rio Grande do Norte, Brazil.
Fábio Galvão DantasCentral Campus, State University of Paraíba, Campina Grande, Paraíba, Brazil.
Diego Neves AraujoFederal University of Alagoas, Arapiraca, Alagoas, Brazil.ORCID 0000-0002-9541-5852
José Felipe Costa da SilvaCampus Central, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.ORCID 0000-0001-5313-0683
Thais Sousa Rodrigues GuedesCampus Central, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Matheus Rodrigues LopesPaulo Afonso Campus, Federal University of Vale do São Francisco, Paulo Afonso, Bahia, Brazil.
Johnnatas Mikael LopesPaulo Afonso Campus, Federal University of Vale do São Francisco, Paulo Afonso, Bahia, Brazil.
Marcello Barbosa Otoni Gonçalves GuedesCampus Central, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has had a negative impact on socioeconomic and public health conditions of the population.

aimTo measure the temporal evolution of COVID-19 cases in cities near the countryside outside metropolitan areas of northeastern Brazil and the impact of the primary care organization in its containment.

methodsThis is a time-series study, based on the first three months of COVID-19 incidence in northeastern Brazil. Secondary data were used, the outcome was number of COVID-19 cases. Independent variables were time, coverage and quality score of basic health services, and demographic, socioeconomic and social isolation variables. Generalizable Linear Models with first order autoregression were applied.

resultsCOVID-19 spreads heterogeneously in cities near the countryside of Northeastern Brazilian cities, showing associations with the city size, socioeconomic and organizational indicators of services. The Family Health Strategy seems to mitigate the speed of progression and burden of the disease, in addition to measures such as social isolation and closure of commercial activities.

conclusionThe spread of COVID-19 reveals multiple related factors, which require coordinated intersectoral actions in order to mitigate its problems, especially in biologically and socially vulnerable populations.

Indexed as

COVID-19BrazilCitiesHumansPandemicsPrimary Health CareSocioeconomic Factors

Identifiers

PMID38536836
PMCPMC10971773

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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.