Your browser doesn't support javascript.
Inferring risks of coronavirus transmission from community household data.
House, Thomas; Riley, Heather; Pellis, Lorenzo; Pouwels, Koen B; Bacon, Sebastian; Eidukas, Arturas; Jahanshahi, Kaveh; Eggo, Rosalind M; Sarah Walker, A.
  • House T; Department of Mathematics, 5292University of Manchester, Manchester UK.
  • Riley H; IBM Research, Hartree Centre, Daresbury UK.
  • Pellis L; The Alan Turing Institute for Data Science and Artificial Intelligence, London UK.
  • Pouwels KB; Department of Mathematics, 5292University of Manchester, Manchester UK.
  • Bacon S; Department of Mathematics, 5292University of Manchester, Manchester UK.
  • Eidukas A; The Alan Turing Institute for Data Science and Artificial Intelligence, London UK.
  • Jahanshahi K; 105596Nuffield Department of Medicine, University of Oxford, Oxford UK.
  • Eggo RM; The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford UK.
  • Sarah Walker A; Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, , Oxford UK.
Stat Methods Med Res ; 31(9): 1738-1756, 2022 09.
Article in English | MEDLINE | ID: covidwho-2263276
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines / Variants Limits: Child / Humans Language: English Journal: Stat Methods Med Res Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines / Variants Limits: Child / Humans Language: English Journal: Stat Methods Med Res Year: 2022 Document Type: Article