Model-based evaluation of alternative reactive class closure strategies against COVID-19.
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
23 Apr 2021
23 Apr 2021
Historique:
entrez:
28
4
2021
pubmed:
29
4
2021
medline:
29
4
2021
Statut:
epublish
Résumé
There are contrasting results concerning the effect of reactive school closure on SARS-CoV-2 transmission. To shed light on this controversy, here we develop a data-driven computational model of SARS-CoV-2 transmission to investigate mechanistically the effect on COVID-19 outbreaks of school closure strategies based on syndromic surveillance and antigen screening of students. We found that by reactively closing classes based on syndromic surveillance, SARS-CoV-2 infections are reduced by no more than 13.1% (95%CI: 8.6%-20.2 %), due to the low probability of timely symptomatic case identification among the young population. We thus investigated an alternative triggering mechanism based on repeated screening of students using antigen tests. Should population-level social distancing measures unrelated to schools enable maintaining the reproduction number (
Identifiants
pubmed: 33907769
doi: 10.1101/2021.04.18.21255683
pmc: PMC8077629
pii:
doi:
Types de publication
Preprint
Langues
eng
Commentaires et corrections
Type : UpdateIn
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