Evidence map›Paper›PMID 35194620›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Structural factors contributing to SARS-CoV-2 infection risk in the urban slum setting.

Mariam O Fofana, Nivison Nery, Juan P Aguilar Ticona, Emilia M M A 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 · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. 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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 CT, USA.
Nivison NeryInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador BA, Brazil.
Juan P Aguilar TiconaInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador BA, Brazil.
Emilia M M A BelitardoInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador BA, Brazil.
Renato VictorianoInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador BA, Brazil.
Rôsangela O AnjosInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador BA, Brazil.
Moyra M PortilhoInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador BA, Brazil.
Mayara C de SantanaInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador BA, Brazil.
Laiara L Dos SantosInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador BA, Brazil.
Daiana de OliveiraInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador BA, Brazil.
Jaqueline S CruzInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador BA, Brazil.
M Cate MuenckerInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador BA, Brazil.
Ricardo KhouriInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador BA, Brazil.
Elsio A WunderDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven CT, USA.
Matthew D T HitchingsDepartment of Biostatistics, University of Florida, Gainesville FL, USA.
Olatunji JohnsonDepartment of Mathematics, University of Manchester, Manchester, UK.
Mitermayer G ReisDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven CT, USA.
Guilherme S RibeiroInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador BA, Brazil.
Derek A T CummingsDepartment of Biology, University of Florida, Gainesville FL, USA.
Federico CostaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven CT, USA.
Albert I KoDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven CT, USA.
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
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 R01 TW009504FIC NIH HHS R25 TW009338NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI052473NIAID NIH HHS U01 AI088752Wellcome Trust
6 · The paper itself

Abstract

backgroundThe structural environment of urban slums, including physical, demographic and socioeconomic attributes, renders inhabitants more vulnerable to SARS-CoV-2 infection. Yet, little is known about the specific determinants that contribute to high transmission within these communities. METHODS AND

findingsWe performed a serosurvey of an established cohort of 2,035 urban slum residents from the city of Salvador, Brazil between November 2020 and February 2021, following the first COVID-19 pandemic wave in the country. We identified high SARS-CoV-2 seroprevalence (46.4%, 95% confidence interval [CI] 44.3-48.6%), particularly among female residents (48.7% [95% CI 45.9-51.6%] vs. 43.2% [95% CI 39.8-46.6%] among male residents), and among children (56.5% [95% CI 52.3-60.5%] vs. 42.4% [95% CI 39.9-45.0%] among adults). In multivariable models that accounted for household-level clustering, the odds ratio for SARS-CoV-2 seropositivity among children was 1.96 (95% CI 1.42-2.72) compared to adults aged 30-44 years. Adults residing in households with children were more likely to be seropositive; this effect was particularly prominent among individuals with age 30-44 and 60 years or more. Women living below the poverty threshold (daily per capita household income <$1.25) and those who were unemployed were more likely to be seropositive.

conclusionsDuring a single 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.

Identifiers

PMID35194620
PMCPMC8863166
OpenAlexW4213206809

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.