Evidence map›Paper›PMID 36112916›Full record

ArticleStatistical methods in medical research2022

Inferring risks of coronavirus transmission from community household data.

Thomas House, Heather Riley, Lorenzo Pellis, Koen B Pouwels, Sebastian Bacon, Arturas Eidukas, Kaveh Jahanshahi, Rosalind M Eggo, A Sarah Walker

Open access · hybridAbstract read
In one paragraph

Article in Statistical methods in medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Risk factors for SARS-CoV-2 infection in primary and secondary school students and staff in England in the 2020/2021 school year: a longitudinal study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
    Article
  11. Review
  12. Article
  13. Simulating respiratory disease transmission within and between classrooms to assess pandemic management strategies at schools.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  15. Article
  16. Article
  17. 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

9 authors at 6 institutions in 1 country.

Thomas HouseDepartment of Mathematics, 5292University of Manchester, Manchester UK.ORCID 0000-0001-5835-8062
Heather RileyDepartment of Mathematics, 5292University of Manchester, Manchester UK.
Lorenzo PellisDepartment of Mathematics, 5292University of Manchester, Manchester UK.
Koen B Pouwels105596Nuffield Department of Medicine, University of Oxford, Oxford UK.
Sebastian BaconThe DataLab, 12205Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford UK.
Arturas EidukasData Science Campus, Office for National Statistics (ONS).
Kaveh JahanshahiData Science Campus, Office for National Statistics (ONS).
Rosalind M EggoCentre for Mathematical Modelling of Infectious Diseases, 4906London School of Hygiene and Tropical Medicine, London UK.
A Sarah Walker105596Nuffield Department of Medicine, University of Oxford, Oxford UK.
National Institute for Health Research · GBOffice for National Statistics · GBTuring Institute · GBLondon School of Hygiene & Tropical Medicine · GBUniversity of Manchester · GBUniversity of Oxford · GB

Funding

Department of Health NIHR200908Department of Health NIHR200916Medical Research Council MC_PC 19065Medical Research Council MC_UU_12023/22Medical Research Council MR/S003975/1Medical Research Council MR/V038613/1Wellcome TrustWellcome Trust 202562/Z/16/Z
6 · The paper itself

Abstract

The response of many governments to the COVID-19 pandemic has involved measures to control within- and between-household transmission, providing motivation to improve understanding of the absolute and relative risks in these contexts. Here, we perform exploratory, residual-based, and transmission-dynamic household analysis of the Office for National Statistics COVID-19 Infection Survey data from 26 April 2020 to 15 July 2021 in England. This provides evidence for: (i) temporally varying rates of introduction of infection into households broadly following the trajectory of the overall epidemic and vaccination programme; (ii) susceptible-Infectious transmission probabilities of within-household transmission in the 15-35% range; (iii) the emergence of the Alpha and Delta variants, with the former being around 50% more infectious than wildtype and 35% less infectious than Delta within households; (iv) significantly (in the range of 25-300%) more risk of bringing infection into the household for workers in patient-facing roles pre-vaccine; (v) increased risk for secondary school-age children of bringing the infection into the household when schools are open; (vi) increased risk for primary school-age children of bringing the infection into the household when schools were open since the emergence of new variants.

Indexed as

COVID-19PandemicsChildFamily CharacteristicsHumansSARS-CoV-2COVID-19Epidemicinfectionmodelrisk factors

Identifiers

PMID36112916
PMCPMC9465559
OpenAlexW3152622859

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.