Pupils returning to primary schools in England during 2020: rapid estimations of punctual COVID-19 infection rates

Author:

Aspinall W. P.12ORCID,Sparks R. S. J.1ORCID,Woodhouse M. J.13ORCID,Cooke R. M.45ORCID,Scarrow J. H.6ORCID,

Affiliation:

1. School of Earth Sciences, University of Bristol, Bristol BS8 1RJ, UK

2. Aspinall and Associates, Tisbury SP3 6HF, UK

3. School of Mathematics, University of Bristol, Bristol BS8 1QU, UK

4. Institute of Applied Mathematics, Delft University of Technology, Building 28, Mourik Broekmanweg 6, 2628 XE Delft, The Netherlands

5. Resources for the Future, 1616 P Street NE, Washington, DC, USA

6. Departamento de Mineralogía y Petrología, Facultad de Ciencias, Universidad de Granada, 18071 Granada, Spain

Abstract

Drawing on risk methods from volcano crises, we developed a rapid COVID-19 infection model for the partial return of pupils to primary schools in England in June and July 2020, and a full return in September 2020. The model handles uncertainties in key parameters, using a stochastic re-sampling technique, allowing us to evaluate infection levels as a function of COVID-19 prevalence and projected pupil and staff headcounts. Assuming average national adult prevalence, for the first scenario (as at 1 June 2020) we found that between 178 and 924 [90% CI] schools would have at least one infected individual, out of 16 769 primary schools in total. For the second return (July), our estimate ranged between 336 (2%) and 1873 (11%) infected schools. For a full return in September 2020, our projected range was 661 (4%) to 3310 (20%) infected schools, assuming the same prevalence as for 5 June. If national prevalence fell to one-quarter of that, the projected September range would decrease to between 381 (2%) and 900 (5%) schools but would increase to between 2131 (13%) and 9743 (58%) schools if prevalence increased to 4× June level. When regional variations in prevalence and school size distribution were included in the model, a slight decrease in the projected number of infected schools was indicated, but uncertainty on estimates increased markedly. The latter model variant indicated that 82% of infected schools would be in areas where prevalence exceeded the national average and the probability of multiple infected persons in a school would be higher in such areas. Post hoc , our model projections for 1 September 2020 were seen to have been realistic and reasonable (in terms of related uncertainties) when data on schools' infections were released by official agencies following the start of the 2020/2021 academic year.

Funder

Medical Research Council

Publisher

The Royal Society

Subject

Multidisciplinary

Reference19 articles.

1. A novel approach for evaluating contact patterns and risk mitigation strategies for COVID-19 in English primary schools with application of structured expert judgement

2. Determining the optimal strategy for reopening schools, the impact of test and trace interventions, and the risk of occurrence of a second COVID-19 epidemic wave in the UK: a modelling study

3. Aspinall W Sparks RSJ. In review. Nature Humanities & Social Sciences Communications .

4. PHE (Public Health England). 2020 Weekly Coronavirus Disease 2019 (COVID-19) Surveillance Report Summary of COVID-19 surveillance systems Weeks 28. See https://www.gov.uk/government/news/weekly-covid-19-surveillance-report-published (accessed 9 July 2020).

5. CoMMinS. 2020 COVID-19 Mapping and Mitigation in Schools (CoMMinS). See https://gtr.ukri.org/projects?ref=MR%2FV028545%2F1 (accessed 24 November 2020).

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