Evidence map›Paper›PMID 38516384›Full record

ArticleOpen forum infectious diseases2024

Overestimation of Severe Acute Respiratory Syndrome Coronavirus 2 Household Transmission in Settings of High Community Transmission: Insights From an Informal Settlement Community in Salvador, Brazil.

Juan P Aguilar Ticona, Nivison Nery, Matt Hitchings, Emilia M M Andrade Belitardo, Mariam O Fofana, Murilo Dorión, Renato Victoriano, Jaqueline S Cruz, Juliet Oliveira Santana, Laise Eduarda Paixão de Moraes and 7 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

17 authors at 4 institutions in 2 countries.

Juan P Aguilar TiconaInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil.ORCID https://orcid.org/0000-0002-6971-2677
Nivison NeryInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Matt HitchingsDepartment of Biostatistics, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0003-2327-3557
Emilia M M Andrade BelitardoFundação Oswaldo Cruz, Instituto Gonçalo Moniz, Ministério da Saúde, Salvador, Bahia, Brazil.
Mariam O FofanaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
Murilo DoriónDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
Renato VictorianoFundação Oswaldo Cruz, Instituto Gonçalo Moniz, Ministério da Saúde, Salvador, Bahia, Brazil.
Jaqueline S CruzFundação Oswaldo Cruz, Instituto Gonçalo Moniz, Ministério da Saúde, Salvador, Bahia, Brazil.
Juliet Oliveira SantanaFundação Oswaldo Cruz, Instituto Gonçalo Moniz, Ministério da Saúde, Salvador, Bahia, Brazil.
Laise Eduarda Paixão de MoraesFundação Oswaldo Cruz, Instituto Gonçalo Moniz, Ministério da Saúde, Salvador, Bahia, Brazil.
Cristiane W CardosoFundação Oswaldo Cruz, Instituto Gonçalo Moniz, Ministério da Saúde, Salvador, Bahia, Brazil.
Guilherme S RibeiroFundação Oswaldo Cruz, Instituto Gonçalo Moniz, Ministério da Saúde, Salvador, Bahia, Brazil.
Mitermayer G ReisFundação Oswaldo Cruz, Instituto Gonçalo Moniz, Ministério da Saúde, Salvador, Bahia, Brazil.
Ricardo KhouriFundação Oswaldo Cruz, Instituto Gonçalo Moniz, Ministério da Saúde, Salvador, Bahia, Brazil.ORCID https://orcid.org/0000-0001-5664-4436
Federico CostaInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Albert I KoFundação Oswaldo Cruz, Instituto Gonçalo Moniz, Ministério da Saúde, Salvador, Bahia, Brazil.
Derek A T CummingsEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.
Ministério da Saúde · BRUniversidade Federal da Bahia · BRYale University · USUniversity of Florida · US

Funding

Naturally-Acquired and Vaccine-Mediated Immunity to LeptospirosisR01AI121207 · NIAID · YALE UNIVERSITY · PI KO, ALBERT ICKSANG, REIS, MITERMAYER GALVAO DOS · 2016 to 2020
$6.4M
TRAINING IN THE PATHOGENESIS OF INFECTIOUS DISEASEST32AI007517 · NIAID · YALE UNIVERSITY · PI Jaimie Meyer, Albert C Shaw · 1997 to 2026
$6.1M
Immunological drivers of the transition from epidemicity to endemicity of SARS-CoV-2 in a high transmission LMIC settingR01AI174105 · NIAID · YALE UNIVERSITY · PI Federico Costa, Derek A Cummings · 2023 to 2026
$3.0M
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 TW009504NIAID NIH HHS R01 AI052473NIAID NIH HHS R01 AI121207NIAID NIH HHS R01 AI174105NIAID NIH HHS T32 AI007517Wellcome Trust
6 · The paper itself

Abstract

Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant has spread globally. However, the contribution of community versus household transmission to the overall risk of infection remains unclear. Methods: Between November 2021 and March 2022, we conducted an active case-finding study in an urban informal settlement with biweekly visits across 1174 households with 3364 residents. Individuals displaying coronavirus disease 2019 (COVID-19)-related symptoms were identified, interviewed along with household contacts, and defined as index and secondary cases based on reverse-transcription polymerase chain reaction (RT-PCR) and symptom onset. Results: In 61 households, we detected a total of 94 RT-PCR-positive cases. Of 69 sequenced samples, 67 cases (97.1%) were attributed to the Omicron BA.1* variant. Among 35 of their households, the secondary attack rate was 50.0% (95% confidence interval [CI], 37.0%-63.0%). Women (relative risk [RR], 1.6 [95% CI, .9-2.7]), older individuals (median difference, 15 [95% CI, 2-21] years), and those reporting symptoms (RR, 1.73 [95% CI, 1.0-3.0]) had a significantly increased risk for SARS-CoV-2 secondary infection. Genomic analysis revealed substantial acquisition of viruses from the community even among households with other SARS-CoV-2 infections. After excluding community acquisition, we estimated a household secondary attack rate of 24.2% (95% CI, 11.9%-40.9%). Conclusions: These findings underscore the ongoing risk of community acquisition of SARS-CoV-2 among households with current infections. The observed high attack rate necessitates swift booster vaccination, rapid testing availability, and therapeutic options to mitigate the severe outcomes of COVID-19.

Indexed as

BA.1household transmissionOmicronSARS-CoV-2

Identifiers

PMID38516384
PMCPMC10957159
OpenAlexW4391530173

What OpenQuestion holds

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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.