Evidence map›Paper›PMID 34151970›Full record

ArticleInternational journal of epidemiology2021

Constructing and adjusting estimates for household transmission of SARS-CoV-2 from prior studies, widespread-testing and contact-tracing data.

Mihaela Curmei, Andrew Ilyas, Owain Evans, Jacob Steinhardt

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. COVID-19-related hospital admission in spouses of partners in at-risk occupations.Scandinavian journal of work, environment & health · 2023
    Article
  4. Article
  5. Article
  6. Virology and immune dynamics reveal high household transmission of ancestral SARS-CoV-2 strain.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2022
    Article
  7. Article
  8. Observational
  9. Lessons from a pandemic.PLOS global public health · 2022
    Article
  10. Article
  11. Serial population-based serosurveys for COVID-19 in two neighbourhoods of Karachi, Pakistan.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Article
  12. Article
  13. 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

4 authors at 3 institutions in 2 countries.

Mihaela CurmeiDepartment of Electrical Engineering and Computer Science, University of California Berkeley, Berkeley, California, USA.
Andrew IlyasDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Massachusetts, USA.ORCID 0000-0001-7187-5240
Owain EvansFuture of Humanity Institute, University of Oxford, Oxford, United Kingdom and.
Jacob SteinhardtDepartment of Statistics, University of California Berkeley, Berkeley, California, USA.
University of California, Berkeley · USMassachusetts Institute of Technology · USUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith reduced community mobility, household infections may become increasingly important in SARS-CoV-2 transmission dynamics.

methodsWe investigate the intra-household transmission of COVID-19 through the secondary-attack rate (SAR) and household reproduction number (Rh). We estimate these using (i) data from 29 prior studies (February-August 2020), (ii) epidemiologically linked confirmed cases from Singapore (January-April 2020) and (iii) widespread-testing data from Vo' (February-March 2020). For (i), we use a Bayesian random-effects model that corrects for reverse transcription-polymerase chain reaction (RT-PCR) test sensitivity and asymptomatic cases. We investigate the robustness of Rh with respect to community transmission rates and mobility patterns.

resultsThe corrected pooled estimates from prior studies for SAR and Rh are 24% (20-28%) and 0.34 (0.30-0.38), respectively. Without corrections, the pooled estimates are: SAR = 18% (14-21%) and Rh = 0.28 (0.25-0.32). The corrected estimates line up with direct estimates from contact-tracing data from Singapore [Rh = 0.32 (0.22-0.42)] and population testing data from Vo' [SAR = 31% (28-34%) and Rh = 0.37 (0.34-0.40)]. The analysis of Singapore data further suggests that the value of Rh (0.22-0.42) is robust to community-spread dynamics; our estimate of Rh stays constant whereas the fraction of infections attributable to household transmission (Rh/Reff) is lowest during outbreaks (5-7%) and highest during lockdowns and periods of low community spread (25-30%).

conclusionsThe three data-source types yield broadly consistent estimates for SAR and Rh. Our study suggests that household infections are responsible for a large fraction of infections and so household transmission may be an effective target for intervention.

Indexed as

COVID-19SARS-CoV-2Bayes TheoremCommunicable Disease ControlContact TracingHumanscoronavirusHousehold transmissionsecondary-attack rate

Identifiers

PMID34151970
PMCPMC8344712
OpenAlexW3177302165

What OpenQuestion holds

Textmetadata
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.