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Pupils returning to primary schools in England during 2020: rapid estimations of punctual COVID-19 infection rates.
Aspinall, W P; Sparks, R S J; Woodhouse, M J; Cooke, R M; Scarrow, J H.
  • Aspinall WP; School of Earth Sciences, University of Bristol, Bristol BS8 1RJ, UK.
  • Sparks RSJ; Aspinall and Associates, Tisbury SP3 6HF, UK.
  • Woodhouse MJ; School of Earth Sciences, University of Bristol, Bristol BS8 1RJ, UK.
  • Cooke RM; School of Earth Sciences, University of Bristol, Bristol BS8 1RJ, UK.
  • Scarrow JH; School of Mathematics, University of Bristol, Bristol BS8 1QU, UK.
R Soc Open Sci ; 8(9): 202218, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1429383
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Topics: Variants Language: English Journal: R Soc Open Sci Year: 2021 Document Type: Article Affiliation country: Rsos.202218

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Topics: Variants Language: English Journal: R Soc Open Sci Year: 2021 Document Type: Article Affiliation country: Rsos.202218