Evidence map›Paper›PMID 38993539›Full record

ArticleLancet regional health. Americas2024

SARS-CoV-2 transmission in a highly vulnerable population of Brazil: a household cohort study.

Lara E Coelho, Paula M Luz, Débora C Pires, Emilia M Jalil, Hugo Perazzo, Thiago S Torres, Sandra W Cardoso, Eduardo M Peixoto, Sandro Nazer, Eduardo Massad and 19 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  7. Polymorphisms in the ACE I/D (Tropical medicine and infectious disease · 2024
    Article
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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

29 authors.

Lara E CoelhoInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brazil.
Paula M LuzInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brazil.
Débora C PiresInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brazil.
Emilia M JalilInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brazil.
Hugo PerazzoInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brazil.
Thiago S TorresInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brazil.
Sandra W CardosoInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brazil.
Eduardo M PeixotoInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brazil.
Sandro NazerInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brazil.
Eduardo MassadEscola de Matemática Aplicada, Fundação Getulio Vargas, Rio de Janeiro, Brazil.
Luiz Max CarvalhoEscola de Matemática Aplicada, Fundação Getulio Vargas, Rio de Janeiro, Brazil.
Weeberb J RéquiaEscola de Políticas Públicas e Governo, Fundação Getulio Vargas, Brasília, Brazil.
Fernando Couto MottaLaboratório de Vírus Respiratórios e do Sarampo, Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil.
Marilda Mendonça SiqueiraLaboratório de Vírus Respiratórios e do Sarampo, Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil.
Ana T R VasconcelosLaboratório de Bioinformática, Laboratório Nacional de Computação Científica (LNCC), Petrópolis, Brazil.
Guilherme C da FonsecaLaboratório de Bioinformática, Laboratório Nacional de Computação Científica (LNCC), Petrópolis, Brazil.
Liliane T F CavalcanteLaboratório de Bioinformática, Laboratório Nacional de Computação Científica (LNCC), Petrópolis, Brazil.
Carlos A M CostaEscola Nacional de Saúde Pública Sérgio Arouca, FIOCRUZ, Rio de Janeiro, Brazil.
Rodrigo T AmancioHospital Federal dos Servidores do Estado, Rio de Janeiro, Brazil.
Daniel A M VillelaPrograma de Computação Científica (PROCC), FIOCRUZ, Rio de Janeiro, Brazil.
Tiago PereiraInstituto de Ciências Matemáticas e Computação, Universidade de São Paulo, Brazil.
Guilherme T GoedertEscola de Matemática Aplicada, Fundação Getulio Vargas, Rio de Janeiro, Brazil.
Cleber V B D SantosInstituto de Medicina Social Hesio Cordeiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Nadia C P RodriguesEscola Nacional de Saúde Pública Sérgio Arouca, FIOCRUZ, Rio de Janeiro, Brazil.
Breno Augusto Bormann de Souza FilhoEscola Nacional de Saúde Pública Sérgio Arouca, FIOCRUZ, Rio de Janeiro, Brazil.
Daniel CsillagEscola de Matemática Aplicada, Fundação Getulio Vargas, Rio de Janeiro, Brazil.
Beatriz GrinsztejnInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brazil.
Valdilea G VelosoInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brazil.
Claudio J StruchinerEscola de Matemática Aplicada, Fundação Getulio Vargas, Rio de Janeiro, Brazil.

Funding

The FIOCRUZ Therapeutic and Prevention HIV/AIDS Clinical Trials Unit (FioTrials)UM1AI069476 · NIAID · FUNDACAO OSWALDO CRUZ · PI BEATRIZ GRINSZTEJN · 2012 to 2026
$26.3M
NIAID NIH HHS UM1 AI069476
6 · The paper itself

Abstract

Background: Household transmission studies seek to understand the transmission dynamics of a pathogen by estimating the risk of infection from household contacts and community exposures. We estimated within/extra-household SARS-CoV-2 infection risk and associated factors in a household cohort study in one of the most vulnerable neighbourhoods in Rio de Janeiro city. Methods: Individuals ≥1 years-old with suspected or confirmed COVID-19 in the past 30 days (index cases) and household members aged ≥1 year were enrolled and followed at 14 and 28 days (study period November/2020-December/2021). RT-PCR testing, COVID-19 symptoms, and SARS-CoV-2 serologies were ascertained in all visits. Chain binomial household transmission models were fitted using data from 2024 individuals (593 households). Findings: Extra-household infection risk was 74.2% (95% credible interval [CrI] 70.3-77.8), while within-household infection risk was 11.4% (95% CrI 5.7-17.2). Participants reporting having received two doses of a COVID-19 vaccine had lower extra-household (68.9%, 95% CrI 57.3-77.6) and within-household (4.1%, 95% CrI 0.4-16.6) infection risk. Within-household infection risk was higher among participants aged 10-19 years, from overcrowded households, and with low family income. Contrastingly, extra-household infection risk was higher among participants aged 20-29 years, unemployed, and public transportation users. Interpretation: Our study provides important insights into COVID-19 household/community transmission in a vulnerable population that resided in overcrowded households and who struggled to adhere to lockdown policies and social distancing measures. The high extra-household infection risk highlights the extreme social vulnerability of this population. Prioritising vaccination of the most socially vulnerable could protect these individuals and reduce widespread community transmission. Funding: Fundação Oswaldo Cruz, CNPq, FAPERJ, Royal Society, Instituto Serrapilheira, FAPESP.

Indexed as

BrazilCOVID-19Household transmissionSocial inequityTransmission dynamics

Identifiers

PMID38993539
PMCPMC11237915

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.