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.
Authors
- Oliver Johnson (ORCID: https://orcid.org/0000-0002-3645-6670)
Institutions
- University of Bristol (GB)
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