Quantifying the contribution of policy measures to COVID-19 dynamics across 126 countries

COVID-19 provides an unprecedented opportunity to evaluate the contribution of public health and social measures (PHSMs) to controlling transmission and inform responses to future emerging respiratory pathogens. We analysed SARS-CoV-2 transmission across 126 countries spanning multiple epidemic waves and diverse policy environments during periods when PHSMs were the primary interventions available to influence the epidemic. By explicitly representing key epidemiological drivers of transmission and measuring reductions in residual transmission scaling after incorporating OxCGRT policy time-series data, we isolated the effect of PHSMs on transmission. PHSMs frequently explained a substantial proportion of the observed variation in transmission intensity, with particularly strong effects seen in many high-income countries. In countries with strong evidence for policy effects, reductions in transmission reached 60-80% or above, although the individual policies responsible for these effects varied considerably. Harmonised analyses considering the effect of community mobility showed comparably strong effects in a similar subset of countries.

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Publication Details

Journal
medRxiv
Published
2026-11-05
DOI
https://doi.org/10.64898/2026.11.05.26367213
Primary Topic
COVID-19 epidemiological studies
Type
preprint
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preprint

Quantifying the contribution of policy measures to COVID-19 dynamics across 126 countries

Emma Sue McBryde, James McCracken Trauer, Michael T. Meehan, Romain R. Ragonnet et al.
medRxiv
COVID-19 epidemiological studies
preprint

Quantifying the contribution of policy measures to COVID-19 dynamics across 126 countries

Emma Sue McBryde, James McCracken Trauer, Michael T. Meehan, Romain R. Ragonnet, Alec S. Henderson, Matthew Ryan, David Shipman
preprint en

Abstract

COVID-19 provides an unprecedented opportunity to evaluate the contribution of public health and social measures (PHSMs) to controlling transmission and inform responses to future emerging respiratory pathogens. We analysed SARS-CoV-2 transmission across 126 countries spanning multiple epidemic waves and diverse policy environments during periods when PHSMs were the primary interventions available to influence the epidemic. By explicitly representing key epidemiological drivers of transmission and measuring reductions in residual transmission scaling after incorporating OxCGRT policy time-series data, we isolated the effect of PHSMs on transmission. PHSMs frequently explained a substantial proportion of the observed variation in transmission intensity, with particularly strong effects seen in many high-income countries. In countries with strong evidence for policy effects, reductions in transmission reached 60-80% or above, although the individual policies responsible for these effects varied considerably. Harmonised analyses considering the effect of community mobility showed comparably strong effects in a similar subset of countries.

medRxiv
Commonwealth Scientific and Industrial Research Organisation (AU), Burnet Institute (AU), The University of Queensland (AU), Monash University (AU), James Cook University (AU)
COVID-19 epidemiological studies
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Quantifying the contribution of policy measures to COVID-19 dynamics across 126 countries — Emma Sue McBryde, James McCracken Trauer, et al. · medRxiv (2026) | TGRS Research Map | TGRS