Evidence map›Paper›PMID 39052659›Full record

ArticlePloS one2024

Natural history of shedding and household transmission of severe acute respiratory syndrome coronavirus 2 using intensive high-resolution sampling.

Jonathan Altamirano, Prasanthi Govindarajan, Andra L Blomkalns, Sean Leary, India Robinson, Leanne X Chun, Nuzhat J Shaikh, Makeda L Robinson, Marcela Lopez, Grace K-Y Tam and 8 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

18 authors.

Jonathan AltamiranoDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0002-0968-3333
Prasanthi GovindarajanDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Andra L BlomkalnsDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Sean LearyDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America.
India RobinsonDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0009-0009-1453-5181
Leanne X ChunDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0002-4304-4017
Nuzhat J ShaikhDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America.
Makeda L RobinsonDepartment of Medicine-Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, United States of America.
Marcela LopezDepartment of Epidemiology and Biostatistics, University of California, Irvine, California, United States of America.
Grace K-Y TamDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0001-5308-1439
Yuan J CarringtonDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America.
Monique B De AraujoDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Katharine S WalterDepartment of Medicine-Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0003-0065-2204
Jason R AndrewsDepartment of Medicine-Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, United States of America.
Julianne BurnsDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America.
Catherine HoganDepartment of Pathology, Stanford University School of Medicine, Stanford, California, United States of America.
Benjamin A PinskyDepartment of Pathology, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0001-8751-4810
Yvonne MaldonadoDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceThe COVID-19 pandemic has led to 775 million documented cases and over 7 million deaths worldwide as of March 2024 and is an ongoing health crisis. To limit viral spread within households and in the community, public health officials have recommended self-isolation, self-quarantine of exposed household contacts, and mask use. Yet, risk of household transmission (HHT) may be underestimated due to low frequency of sampling, and risk factors for HHT are not well understood.

objectivesTo estimate the secondary attack rate of SARS-CoV-2 within households and to define the risk factors for new infections in household members who are in close contact with the index case. DESIGN, SETTING, AND

participantsIn this prospective cohort study, from March 2020-December 2021 we enrolled 60 households with index cases who tested positive for SARS-CoV-2. All household contacts and index cases were tested daily for SARS-CoV-2 via reverse transcription polymerase chain reaction (RT-PCR) using self-collected anterior nares specimens. Households were followed until all study participants in the household tested negative for SARS-CoV-2 for seven consecutive days. We collected sex, age, race/ethnicity, comorbidities, and relationship to index case for secondary contacts, household level characteristics including primary income, household density, and square feet per person on property. We compared the sociodemographic variables between COVID-19 positive and negative household members and between households where secondary transmission did and did not occur. MAIN OUTCOMES AND MEASURES: Daily anterior nares swabs were tested for SARS-CoV-2 using RT-PCR, in order to assess duration of nasal shedding of SARS-CoV-2, as well as risk of transmission to secondary household contacts.

resultsOf the 163 participants in this study, 84 (51.5%) were women; median age (IQR) was 36.0 (17.0-54.0) years of age; 78 (47.8%) were white and 48 (29.5%) were Hispanic/LatinX. Of the fifty households with household contacts, at least one secondary case occurred in twenty-six households (52.0%) and forty-five household contacts (43.7%) were infected. Secondary attack rate was lowest among children of index cases (6/23, 26.1%). Modified Poisson regression identified that the risk of transmission to household contacts increases significantly with age (Risk ratio for each increase in years of age = 1.01, 95% CI = 1.00-1.02). Mixed effects regression models identified that participants with chronic diseases, such as asthma, diabetes, cancer, or cardiac disease, had higher Cts at baseline when compared to participants without chronic diseases (6.62, 95% CI: 1.46-11.77, p = 0.02) and show a slower rate of increase in Ct over time (-0.43, 95% CI: -0.77 to -0.09, p = 0.02). CONCLUSIONS AND RELEVANCE: This study suggests that HHT represents a key source of community-based infection of SARS-CoV-2. Allocation of resources for contact investigations and prevention interventions should focus on the individuals at highest risk of infection in households, especially those with higher density homes.

Indexed as

COVID-19Family CharacteristicsSARS-CoV-2Virus SheddingAdolescentAdultAgedChildChild, PreschoolFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsYoung Adult

Identifiers

PMID39052659
PMCPMC11271927

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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.