Your browser doesn't support javascript.
Impacts of K-12 school reopening on the COVID-19 epidemic in Indiana, USA.
España, Guido; Cavany, Sean; Oidtman, Rachel; Barbera, Carly; Costello, Alan; Lerch, Anita; Poterek, Marya; Tran, Quan; Wieler, Annaliese; Moore, Sean; Perkins, T Alex.
  • España G; Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, United States. Electronic address: guido.espana@nd.edu.
  • Cavany S; Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, United States.
  • Oidtman R; Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, United States.
  • Barbera C; Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, United States.
  • Costello A; Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, United States.
  • Lerch A; Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, United States.
  • Poterek M; Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, United States.
  • Tran Q; Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, United States.
  • Wieler A; Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, United States.
  • Moore S; Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, United States.
  • Perkins TA; Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, United States. Electronic address: taperkins@nd.edu.
Epidemics ; 37: 100487, 2021 12.
Article Dans Anglais | MEDLINE | ID: covidwho-1356223
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT
In the United States, schools closed in March 2020 due to COVID-19 and began reopening in August 2020, despite continuing transmission of SARS-CoV-2. In states where in-person instruction resumed at that time, two major unknowns were the capacity at which schools would operate, which depended on the proportion of families opting for remote instruction, and adherence to face-mask requirements in schools, which depended on cooperation from students and enforcement by schools. To determine the impact of these conditions on the statewide burden of COVID-19 in Indiana, we used an agent-based model calibrated to and validated against multiple data types. Using this model, we quantified the burden of COVID-19 on K-12 students, teachers, their families, and the general population under alternative scenarios spanning three levels of school operating capacity (50 %, 75 %, and 100 %) and three levels of face-mask adherence in schools (50 %, 75 %, and 100 %). Under a scenario in which schools operated remotely, we projected 45,579 (95 % CrI 14,109-132,546) infections and 790 (95 % CrI 176-1680) deaths statewide between August 24 and December 31. Reopening at 100 % capacity with 50 % face-mask adherence in schools resulted in a proportional increase of 42.9 (95 % CrI 41.3-44.3) and 9.2 (95 % CrI 8.9-9.5) times that number of infections and deaths, respectively. In contrast, our results showed that at 50 % capacity with 100 % face-mask adherence, the number of infections and deaths were 22 % (95 % CrI 16 %-28 %) and 11 % (95 % CrI 5 %-18 %) higher than the scenario in which schools operated remotely. Within this range of possibilities, we found that high levels of school operating capacity (80-95 %) and intermediate levels of face-mask adherence (40-70 %) resulted in model behavior most consistent with observed data. Together, these results underscore the importance of precautions taken in schools for the benefit of their communities.
Sujets)
Mots clés

Texte intégral: Disponible Collection: Bases de données internationales Base de données: MEDLINE Sujet Principal: COVID-19 Type d'étude: Études expérimentales / Étude observationnelle / Étude pronostique Limites du sujet: Humains Pays comme sujet: Amérique du Nord langue: Anglais Revue: Epidemics Année: 2021 Type de document: Article

Documents relatifs à ce sujet

MEDLINE

...
LILACS

LIS


Texte intégral: Disponible Collection: Bases de données internationales Base de données: MEDLINE Sujet Principal: COVID-19 Type d'étude: Études expérimentales / Étude observationnelle / Étude pronostique Limites du sujet: Humains Pays comme sujet: Amérique du Nord langue: Anglais Revue: Epidemics Année: 2021 Type de document: Article