Oliver Johnson’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.

As a data-driven 'COVID centrist', conscious of the harms of both disease and NPIs, I welcome this paper [9] and other attempts to calibrate the effectiveness of the UK response.However, I would like to raise some points :1 Section 3: Cases and ONS Cases and prevalenceWhile of course cases (positive tests) are not the same as prevalence (total infected people), I believe most media and commentators generally made that distinction clear.As an illustration, BBC graphs such as Figure 1 typically (if somewhat arbitrarily) distinguished 'targeted testing' and 'mass testing' regimes.

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Publication Details

Journal
Journal of the Royal Statistical Society Series A (Statistics in Society)
Published
2025-06-27
DOI
https://doi.org/10.1093/jrsssa/qnaf094
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Oliver Johnson’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.

Oliver Johnson
Journal of the Royal Statistical Society Series A (Statistics in Society)
COVID-19 epidemiological studies
article

Oliver Johnson’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.

Oliver Johnson
article en

Abstract

As a data-driven 'COVID centrist', conscious of the harms of both disease and NPIs, I welcome this paper [9] and other attempts to calibrate the effectiveness of the UK response.However, I would like to raise some points :1 Section 3: Cases and ONS Cases and prevalenceWhile of course cases (positive tests) are not the same as prevalence (total infected people), I believe most media and commentators generally made that distinction clear.As an illustration, BBC graphs such as Figure 1 typically (if somewhat arbitrarily) distinguished 'targeted testing' and 'mass testing' regimes.

Journal of the Royal Statistical Society Series A (Statistics in Society)Vol. 189(1)
University of Bristol (GB)
Openalex Percentile: Top 82%
COVID-19 epidemiological studies
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