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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2409.06473 |
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| _version_ | 1866917105713020928 |
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| author | Wood, Simon N. Wit, Ernst C. McKeigue, Paul M. Hu, Danshu Flood, Beth Corcoran, Lauren Jawad, Thea Abou |
| author_facet | Wood, Simon N. Wit, Ernst C. McKeigue, Paul M. Hu, Danshu Flood, Beth Corcoran, Lauren Jawad, Thea Abou |
| contents | This paper discusses some statistical aspects of the U.K. Covid-19 pandemic response, focussing particularly on cases where we believe that a statistically questionable approach or presentation has had a substantial impact on public perception, or government policy, or both. We discuss the presentation of statistics relating to Covid risk, and the risk of the response measures, arguing that biases tended to operate in opposite directions, overplaying Covid risk and underplaying the response risks. We also discuss some issues around presentation of life loss data, excess deaths and the use of case data. The consequences of neglect of most individual variability from epidemic models, alongside the consequences of some other statistically important omissions are also covered. Finally the evidence for full stay at home lockdowns having been necessary to reverse waves of infection is examined, with new analyses provided for a number of European countries. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_06473 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Some statistical aspects of the Covid-19 response Wood, Simon N. Wit, Ernst C. McKeigue, Paul M. Hu, Danshu Flood, Beth Corcoran, Lauren Jawad, Thea Abou Applications This paper discusses some statistical aspects of the U.K. Covid-19 pandemic response, focussing particularly on cases where we believe that a statistically questionable approach or presentation has had a substantial impact on public perception, or government policy, or both. We discuss the presentation of statistics relating to Covid risk, and the risk of the response measures, arguing that biases tended to operate in opposite directions, overplaying Covid risk and underplaying the response risks. We also discuss some issues around presentation of life loss data, excess deaths and the use of case data. The consequences of neglect of most individual variability from epidemic models, alongside the consequences of some other statistically important omissions are also covered. Finally the evidence for full stay at home lockdowns having been necessary to reverse waves of infection is examined, with new analyses provided for a number of European countries. |
| title | Some statistical aspects of the Covid-19 response |
| topic | Applications |
| url | https://arxiv.org/abs/2409.06473 |