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Passing the Test: A model-based analysis of safe school-reopening strategies
Alyssa M Bilinski; Joshua A Salomon; John Giardina; Andrea Ciaranello; Meagan Fitzpatrick.
Affiliation
  • Alyssa M Bilinski; Harvard Graduate School of Arts and Sciences
  • Joshua A Salomon; Stanford University School of Medicine
  • John Giardina; Harvard Graduate School of Arts and Sciences
  • Andrea Ciaranello; Harvard Medical School
  • Meagan Fitzpatrick; University of Maryland School of Medicine
Preprint in English | medRxiv | ID: ppmedrxiv-21250388
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
BackgroundThe COVID-19 pandemic has induced historic educational disruptions. In December 2020, at least two-thirds of US public school students were not attending full-time in-person education. The Biden Administration has expressed that reopening schools is a priority. ObjectiveTo compare risks of SARS-COV-2 transmission in schools across different school-based prevention strategies and levels of community transmission. DesignWe developed an agent-based network model to simulate transmission in elementary and high school communities, including home, school, and inter-household interactions. SettingWe parameterized school structure based on average US classrooms, with elementary schools of 638 students and high schools of 1,451 students. We varied daily community incidence from 1 to 100 cases per 100,000 population. Patients (or Participants)We simulated students, faculty/staff, and adult household members. InterventionsWe evaluated isolation of symptomatic individuals, quarantine of an infected individuals contacts, reduced class sizes, alternative schedules, staff vaccination, and weekly asymptomatic screening. MeasurementsWe projected transmission among students, staff and families during one month following introduction of a single infection into a school. We also calculated the number of infections expected for a typical 8-week quarter, contingent on community incidence rate. ResultsSchool transmission risk varies according to student age and community incidence and is substantially reduced with effective, consistent mitigation measures. Nevertheless, when transmission occurs, it may be difficult to detect without regular, frequent testing due to the subclinical nature of most infections in children. Teacher vaccination can reduce transmission to staff, while asymptomatic screening both improves understanding of local circumstances and reduces transmission, facilitating five-day schedules at full classroom capacity. LimitationsThere is uncertainty about susceptibility and infectiousness of children and low precision regarding the effectiveness of specific prevention measures, particularly with emergence of new variants. ConclusionWith controlled community transmission and moderate school-based prevention measures, elementary schools can open with few in-school transmissions, while high schools require more intensive mitigation. Asymptomatic screening should be a key component of school reopenings, allowing reopening at higher community incidence while still minimizing transmission risk.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Experimental_studies / Observational study / Prognostic study Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Experimental_studies / Observational study / Prognostic study Language: English Year: 2021 Document type: Preprint
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