Inferring risks of coronavirus transmission from community household data.

Autor: House, Thomas, Riley, Heather, Pellis, Lorenzo, Pouwels, Koen B, Bacon, Sebastian, Eidukas, Arturas, Jahanshahi, Kaveh, Eggo, Rosalind M, Sarah Walker, A.
Předmět:
Zdroj: Statistical Methods in Medical Research; Sep2022, Vol. 31 Issue 9, p1738-1756, 19p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index