biostudies-literatureUnknown7Hoskins S<b>Background</b>: "Lockdowns" to control serious respiratory virus pandemics were widely used during the coronavirus disease 2019 (COVID-19) pandemic.  However, there is limited information to understand the settings in which most transmission occurs during lockdowns, to support refinement of similar policies for future pandemics.  <b>Methods</b>: Among Virus Watch household cohort participants we identified those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outside the household.  Using survey activity data, we undertook multivariable logistic regressions assessing the contribution of activities on non-household infection risk.  We calculated adjusted population attributable fractions (APAF) to estimate which activity accounted for the greatest proportion ofWellcome open research199https://www.ebi.ac.uk/biostudies/studies/S-EPMC9975411biostudies-literatureSettings for non-household transmission of SARS-CoV-2 during the second lockdown in England and Wales - analysis of the Virus Watch household community cohort study.PMC9975411Virus Watch CollaborativeNguyen VHoskins SKovar JFong WLESmith CAldridge RWByrne TPatel PYavlinksy AFrench CGeismar CBeale SNavaratnam AMDHayward AFragaszy EJohnson AMfalseSettings for non-household transmission of SARS-CoV-2 during the second lockdown in England and Wales - analysis of the Virus Watch household community cohort study.<b>Background</b>: "Lockdowns" to control serious respiratory virus pandemics were widely used during the coronavirus disease 2019 (COVID-19) pandemic.  However, there is limited information to understand the settings in which most transmission occurs during lockdowns, to support refinement of similar policies for future pandemics.  <b>Methods</b>: Among Virus Watch household cohort participants we identified those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outside the household.  Using survey activity data, we undertook multivariable logistic regressions assessing the contribution of activities on non-household infection risk.  We calculated adjusted population attributable fractions (APAF) to estimate which activity accounted for the greatest proportion of2022-01-01T00:00:00Z20222025-04-19T08:39:44.118Z2025-04-19T08:39:44.118ZS-EPMC99754113687457110.12688/wellcomeopenres.17981.1