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Simulation-Based Estimation of SARS-CoV-2 Infections Associated With School Closures and Community-Based
David Naimark1,2,3,4,5, Sharmistha Mishra1,4,5,6,7, Kali Barrett1,2,8
1Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
Importance:
Resurgent COVID-19 cases have resulted in the reinstitution of nonpharmaceutical interventions, including school closures, which can have adverse effects on families. Understanding the associations of school closures with the number of incident and cumulative COVID-19 cases is critical for decision-making.
Objective:
To estimate the association of schools being open or closed with the number of COVID-19 cases compared with community-based nonpharmaceutical interventions.
Design, Setting, And Participants:
This decision analytical modelling study developed an agent-based transmission model using a synthetic population of 1 000 000 individuals based on the characteristics of the population of Ontario, Canada. Members of the synthetic population were clustered into households, neighborhoods, or rural districts, cities or rural regions, day care facilities, classrooms (ie, primary, elementary, or high school), colleges or universities, and workplaces. Data were analyzed between May 5, 2020, and October 20, 2020.
Exposures:
School reopening on September 15, 2020, vs schools remaining closed under different scenarios for nonpharmaceutical interventions.
Main Outcomes And Measures:
Incident and cumulative COVID-19 cases between September 1, 2020, and October 31, 2020.
Results:
Among 1 000 000 simulated individuals, the percentage of infections among students and teachers acquired within schools was less than 5% across modeled scenarios. Incident COVID-19 case numbers on October 31, 2020, were 4414 (95% credible interval [CrI], 3491-5382) cases in the scenario with schools remaining closed and 4740 (95% CrI, 3863-5691) cases in the scenario for schools reopening, with no other community-based nonpharmaceutical intervention. In scenarios with community-based nonpharmaceutical interventions implemented, the incident case numbers on October 31 were 714 (95% CrI, 568-908) cases for schools remaining closed and 780 (95% CrI, 580-993) cases for schools reopening. When scenarios applied the case numbers observed in early October in Ontario, the cumulative case numbers were 777 (95% CrI, 621-993) cases for schools remaining closed and 803 (95% CrI, 617-990) cases for schools reopening. In scenarios with implementation of community-based interventions vs no community-based interventions, there was a mean difference of 39 355 cumulative COVID-19 cases by October 31, 2020, while keeping schools closed vs reopening them yielded a mean difference of 2040 cases.
Conclusions And Relevance:
This decision analytical modeling study of a synthetic population of individuals in Ontario, Canada, found that most COVID-19 cases in schools were due to acquisition in the community rather than transmission within schools and that the changes in COVID-19 case numbers associated with school reopenings were relatively small compared with the changes associated with community-based nonpharmaceutical interventions.
Insights
School closures had minimal impact on COVID-19 cases compared to community interventions. Reopening schools showed a small increase in cases, with most infections originating outside school settings.
Area of Science:
- Epidemiology
- Public Health Modeling
Background:
- Resurgent COVID-19 cases necessitated nonpharmaceutical interventions, including school closures, impacting families.
- Understanding the link between school closures and COVID-19 transmission is crucial for informed decision-making.
Purpose of the Study:
- To estimate the association between school operational status (open vs. closed) and COVID-19 case numbers.
- To compare the impact of school policies with community-based nonpharmaceutical interventions.
Main Methods:
- Developed an agent-based transmission model using a synthetic population of 1,000,000 individuals in Ontario, Canada.
- Simulated scenarios of school reopening versus remaining closed under various nonpharmaceutical intervention strategies.
- Analyzed incident and cumulative COVID-19 cases between September 1 and October 31, 2020.
Main Results:
- Less than 5% of infections among students and teachers were acquired within schools.
- School reopening scenarios showed a small increase in incident cases (2040 difference) compared to community interventions (39,355 difference).
- Cumulative cases were similar whether schools remained closed or reopened, especially when community interventions were implemented.
Conclusions:
- Most COVID-19 cases linked to schools originated from community transmission, not within school settings.
- Changes in COVID-19 case numbers due to school reopenings were minor compared to the effects of community-level interventions.
- Modeling suggests community interventions are more impactful than school closures for controlling COVID-19 spread.
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