Evidence map›Paper›PMID 37481623›Full record

ArticleCommunications medicine2023

Behavioral factors and SARS-CoV-2 transmission heterogeneity within a household cohort in Costa Rica.

Kaiyuan Sun, Viviana Loria, Amada Aparicio, Carolina Porras, Juan Carlos Vanegas, Michael Zúñiga, Melvin Morera, Carlos Avila, Arturo Abdelnour, Mitchell H Gail and 9 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 1% 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, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 7 institutions in 2 countries.

Kaiyuan SunDivision of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health (NIH), Bethesda, MD, USA. kaiyuan.sun@nih.gov.ORCID http://orcid.org/0000-0002-1753-9884
Viviana LoriaAgencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica.
Amada AparicioCaja Costarricense de Seguro Social, San José, Costa Rica.
Carolina PorrasAgencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica.
Juan Carlos VanegasAgencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica.
Michael ZúñigaAgencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica.ORCID http://orcid.org/0000-0002-8479-4965
Melvin MoreraCaja Costarricense de Seguro Social, San José, Costa Rica.
Carlos AvilaAgencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica.
Arturo AbdelnourCaja Costarricense de Seguro Social, San José, Costa Rica.
Mitchell H GailDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA.
Ruth PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-7791-2698
Jeffrey I CohenLaboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, MD, USA.
Peter D BurbeloNational Institute of Dental and Craniofacial Research, NIH, Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-1717-048X
Mehdi A AbedNational Institute of Dental and Craniofacial Research, NIH, Bethesda, MD, USA.
Cécile ViboudDivision of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health (NIH), Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-3243-4711
Allan HildesheimDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA.
Rolando HerreroAgencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica.
D Rebecca PrevotsEpidemiology and Population Studies Unit, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, NIAID, NIH, Bethesda, MD, USA. rprevots@niaid.nih.gov.ORCID http://orcid.org/0000-0003-0339-9873
RESPIRA Study Group
Costa Rican Department of Social Security · CRInstituto Costarricense de Investigación y Enseñanza en Nutrición y Salud · CRNational Cancer Institute · USUniversidad de Costa Rica · CRNational Institute of Allergy and Infectious Diseases · USNational Institute of Dental and Craniofacial Research · USNational Institutes of Health · US

Funding

Adeno-associated Virus Biology And Utilization For Gene TransferZIADE000695 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI CHIORINI, JAY · 2009 to 2025
$36.6M
Household transmission of COVID19 in Costa RicaZIAAI001326 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI PREVOTS, D. REBECCA · 2020 to 2025
$654k
6 · The paper itself

Abstract

introductionVariability in household secondary attack rates and transmission risks factors of SARS-CoV-2 remain poorly understood.

methodsWe conducted a household transmission study of SARS-CoV-2 in Costa Rica, with SARS-CoV-2 index cases selected from a larger prospective cohort study and their household contacts were enrolled. A total of 719 household contacts of 304 household index cases were enrolled from November 21, 2020, through July 31, 2021. Blood specimens were collected from contacts within 30-60 days of index case diagnosis; and serum was tested for presence of spike and nucleocapsid SARS-CoV-2 IgG antibodies. Evidence of SARS-CoV-2 prior infections among household contacts was defined based on the presence of both spike and nucleocapsid antibodies. We fitted a chain binomial model to the serologic data, to account for exogenous community infection risk and potential multi-generational transmissions within the household.

resultsOverall seroprevalence was 53% (95% confidence interval (CI) 48-58%) among household contacts. The estimated household secondary attack rate is 34% (95% CI 5-75%). Mask wearing by the index case is associated with the household transmission risk reduction by 67% (adjusted odds ratio = 0.33 with 95% CI: 0.09-0.75) and not sharing bedroom with the index case is associated with the risk reduction of household transmission by 78% (adjusted odds ratio = 0.22 with 95% CI 0.10-0.41). The estimated distribution of household secondary attack rates is highly heterogeneous across index cases, with 30% of index cases being the source for 80% of secondary cases.

conclusionsModeling analysis suggests that behavioral factors are important drivers of the observed SARS-CoV-2 transmission heterogeneity within the household.

Identifiers

PMID37481623
PMCPMC10363136
OpenAlexW4385074672

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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.