Evidence map›Paper›PMID 36074784›Full record

ArticlePLoS medicine2022

Structural factors associated with SARS-CoV-2 infection risk in an urban slum setting in Salvador, Brazil: A cross-sectional survey.

Mariam O Fofana, Nivison Nery, Juan P Aguilar Ticona, Emilia M M de Andrade Belitardo, Renato Victoriano, Rôsangela O Anjos, Moyra M Portilho, Mayara C de Santana, Laiara L Dos Santos, Daiana de Oliveira and 11 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  3. Extensive transmission of SARS-CoV-2 BQ.1* variant in a population with high levels of hybrid immunity: A prevalence survey.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 5 institutions in 3 countries.

Mariam O FofanaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-2874-471X
Nivison NeryInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil.ORCID 0000-0002-8164-0602
Juan P Aguilar TiconaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-6971-2677
Emilia M M de Andrade BelitardoInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.ORCID 0000-0003-0818-1582
Renato VictorianoInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Rôsangela O AnjosInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.ORCID 0000-0003-3809-5335
Moyra M PortilhoInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.ORCID 0000-0002-4316-4799
Mayara C de SantanaInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Laiara L Dos SantosInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.ORCID 0000-0002-8707-7005
Daiana de OliveiraInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Jaqueline S CruzInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.ORCID 0000-0003-4128-1008
M Catherine MuenkerInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.ORCID 0000-0002-0450-0868
Ricardo KhouriInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.ORCID 0000-0001-5664-4436
Elsio A WunderDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-5239-8511
Matt D T HitchingsDepartment of Biostatistics, University of Florida, Gainesville, Florida, United States of America.ORCID 0000-0003-2327-3557
Olatunji JohnsonDepartment of Mathematics, University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-4080-0999
Mitermayer G ReisDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-3051-9060
Guilherme S RibeiroInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.ORCID 0000-0002-6798-2059
Derek A T CummingsDepartment of Biology, University of Florida, Gainesville, Florida, United States of America.ORCID 0000-0002-9437-1907
Federico CostaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
Albert I KoDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0001-9023-2339
Fundação Oswaldo Cruz · BRUniversidade Federal da Bahia · BRYale University · USUniversity of Florida · USUniversity of Manchester · GB

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
Global Health Fellows and Scholars Research TrainingR25TW009338 · FIC · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARRY, MICHELE, KO, ALBERT ICKSANG · 2012 to 2016
$5.2M
Disease Determinants of Urban LeptospirosisU01AI088752 · NIAID · YALE UNIVERSITY · PI KO, ALBERT ICKSANG · 2010 to 2014
$3.6M
Natural History of Urban LeptospirosisR01AI052473 · NIAID · YALE UNIVERSITY · PI KO, ALBERT ICKSANG · 2003 to 2013
$2.8M
Ecoepidemiology of leptospirosis in the urban slums of BrazilR01TW009504 · FIC · YALE UNIVERSITY · PI BEGON, MICHAEL, CHILDS, JAMES EMORY · 2012 to 2016
$2.2M
FIC NIH HHS D43 TW010540FIC NIH HHS R01 TW009504FIC NIH HHS R25 TW009338Medical Research Council MR/P024084/1Medical Research Council MR/T029781/1NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI052473NIAID NIH HHS U01 AI088752Wellcome TrustWellcome Trust 102330/Z/13/ZWellcome Trust 218987/Z/19/Z
6 · The paper itself

Abstract

backgroundThe structural environment of urban slums, including physical, demographic, and socioeconomic attributes, renders inhabitants more vulnerable to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. Yet, little is known about the specific determinants that contribute to high transmission within these communities. We therefore aimed to investigate SARS-CoV-2 seroprevalence in an urban slum in Brazil. METHODS AND

findingsWe performed a cross-sectional serosurvey of an established cohort of 2,041 urban slum residents from the city of Salvador, Brazil between November 2020 and February 2021, following the first Coronavirus Disease 2019 (COVID-19) pandemic wave in the country and during the onset of the second wave. The median age in this population was 29 years (interquartile range [IQR] 16 to 44); most participants reported their ethnicity as Black (51.5%) or Brown (41.7%), and 58.5% were female. The median size of participating households was 3 (IQR 2 to 4), with a median daily per capita income of 2.32 (IQR 0.33-5.15) US Dollars. The main outcome measure was presence of IgG against the SARS-CoV-2 spike protein. We implemented multilevel models with random intercepts for each household to estimate seroprevalence and associated risk factors, adjusting for the sensitivity and specificity of the assay, and the age and gender distribution of our study population. We identified high seroprevalence (47.9%, 95% confidence interval [CI] 44.2% to 52.1%), particularly among female residents (50.3% [95% CI 46.3% to 54.8%] versus 44.6% [95% CI 40.1% to 49.4%] among male residents, p < 0.01) and among children (54.4% [95% CI 49.6% to 59.3%] versus 45.4% [95% CI 41.5% to 49.7%] among adults, p < 0.01). Adults residing in households with children were more likely to be seropositive (48.6% [95% CI 44.8% to 52.3%] versus 40.7% [95% CI 37.2% to 44.3%], p < 0.01). Women who were unemployed and living below the poverty threshold (daily per capita household income <$1.25) were more likely to be seropositive compared to men with the same employment and income status (53.9% [95% CI 47.0% to 60.6%] versus 32.9% [95% CI 23.2% to 44.3%], p < 0.01). Participation in the study was voluntary, which may limit the generalizability of our findings.

conclusionsPrior to the peak of the second wave of the COVID-19 pandemic, cumulative incidence as assessed by serology approached 50% in a Brazilian urban slum population. In contrast to observations from industrialized countries, SARS-CoV-2 incidence was highest among children, as well as women living in extreme poverty. These findings emphasize the need for targeted interventions that provide safe environments for children and mitigate the structural risks posed by crowding and poverty for the most vulnerable residents of urban slum communities.

Indexed as

COVID-19AdultBrazilChildCross-Sectional StudiesFemaleHumansImmunoglobulin GMalePandemicsPoverty AreasSARS-CoV-2Seroepidemiologic StudiesSpike Glycoprotein, CoronavirusImmunoglobulin GSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID36074784
PMCPMC9499230
OpenAlexW4294991546

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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.