Contact data and SARS-CoV-2: Retrospective analysis of the estimated impact of the first UK lockdown

To combat the spread of SARS-CoV-2 in March 2020 the United Kingdom (UK) announced a series of restrictions on social interaction, culminating with the introduction of lockdown measures. Estimation of lockdown effectiveness using pandemic models relied on the availability of contact data and choices on how to structure models accordingly. We revisit the Cambridge/Public Health England real-time model (RTM), which was routinely implemented during the pandemic to monitor its development and produce short-term projections. To derive contact matrices, Google Mobility weekly contact data and school attendance data from the Department for Education were combined with information from the POLYMOD study and the UK Time Use Survey. These matrices were combined with susceptibility and transmissibility parameters to estimate effective reproduction numbers, which were taken as indicators of transmission trends. We explore alternative formulations of the RTM, which make fuller use of the available contact data, and assess the impact of each formulation on the conclusions of lockdown effectiveness. Results show that the estimated impact of the lockdown remains unchanged, but also uncover previously uncaptured early epidemic dynamics. This highlights the importance of the timely availability of contact data in understanding transmission dynamics during the early stages of an epidemic and assessing the effectiveness of interventions.

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Publication Details

Journal
Journal of Theoretical Biology
Published
2025-05-24
DOI
https://doi.org/10.1016/j.jtbi.2025.112158
Citations
2
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
2.74
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article

Contact data and SARS-CoV-2: Retrospective analysis of the estimated impact of the first UK lockdown

Daniela De Angelis, Joel Kandiah, Edwin van Leeuwen, Paul Birrell
2 citations
Journal of Theoretical Biology
COVID-19 epidemiological studies
2.74
article

Contact data and SARS-CoV-2: Retrospective analysis of the estimated impact of the first UK lockdown

Daniela De Angelis, Joel Kandiah, Edwin van Leeuwen, Paul Birrell
article en
2 citations

Abstract

To combat the spread of SARS-CoV-2 in March 2020 the United Kingdom (UK) announced a series of restrictions on social interaction, culminating with the introduction of lockdown measures. Estimation of lockdown effectiveness using pandemic models relied on the availability of contact data and choices on how to structure models accordingly. We revisit the Cambridge/Public Health England real-time model (RTM), which was routinely implemented during the pandemic to monitor its development and produce short-term projections. To derive contact matrices, Google Mobility weekly contact data and school attendance data from the Department for Education were combined with information from the POLYMOD study and the UK Time Use Survey. These matrices were combined with susceptibility and transmissibility parameters to estimate effective reproduction numbers, which were taken as indicators of transmission trends. We explore alternative formulations of the RTM, which make fuller use of the available contact data, and assess the impact of each formulation on the conclusions of lockdown effectiveness. Results show that the estimated impact of the lockdown remains unchanged, but also uncover previously uncaptured early epidemic dynamics. This highlights the importance of the timely availability of contact data in understanding transmission dynamics during the early stages of an epidemic and assessing the effectiveness of interventions.

Journal of Theoretical BiologyVol. 610
University of London (GB), London School of Hygiene & Tropical Medicine (GB), MRC Biostatistics Unit (GB)
Openalex Percentile: Top 11%
COVID-19 epidemiological studies
2.74
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