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dc.contributor.authorAspinall, W. P.
dc.contributor.authorScarrow, Jane Hannah 
dc.contributor.authorCoMMinS Project
dc.date.accessioned2021-10-20T12:19:50Z
dc.date.available2021-10-20T12:19:50Z
dc.date.issued2021-09-15
dc.identifier.citationAspinall WP... [et al.] 2021 Pupils returning to primary schools in England during 2020: rapid estimations of punctual COVID-19 infection rates. R. Soc. Open Sci. 8: 202218. [https://doi.org/10.1098/rsos.202218]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/71019
dc.descriptionThere was no direct funding for this study but the support of the Royal Society education policy unit and the Royal Society RAMP initiative for COVID-19 are acknowledged. The `COVID-19 Mapping and Mitigation in Schools' (CoMMinS) project was supported by the Medical Research Council (grant no. MR/V0285545/1) and hosted within the UK MRC Integrative Epidemiology Unit at the University of Bristol (grant no. MC_UU_00011/5).es_ES
dc.description.abstractDrawing 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.es_ES
dc.description.sponsorshipRoyal Society education policy unites_ES
dc.description.sponsorshipRoyal Society RAMP initiative for COVID-19es_ES
dc.description.sponsorshipUK Research & Innovation (UKRI) Medical Research Council UK (MRC) European Commission MR/V0285545/1es_ES
dc.description.sponsorshipUK MRC Integrative Epidemiology Unit at the University of Bristol MC_UU_00011/5es_ES
dc.language.isoenges_ES
dc.publisherRoyal Societyes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectEngland primary school COVID-19 riskses_ES
dc.subjectSchools openinges_ES
dc.subjectStochastic uncertainty analysises_ES
dc.subjectBayesian belief networkes_ES
dc.subjectScenario sensitivity testses_ES
dc.titlePupils returning to primary schools in England during 2020: rapid estimations of punctual COVID-19 infection rateses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1098/rsos.202218
dc.type.hasVersionVoRes_ES


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