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School closures reduced social mixing of children during COVID-19 with implications for transmission risk and school reopening policies.
Head, Jennifer R; Andrejko, Kristin L; Cheng, Qu; Collender, Philip A; Phillips, Sophie; Boser, Anna; Heaney, Alexandra K; Hoover, Christopher M; Wu, Sean L; Northrup, Graham R; Click, Karen; Bardach, Naomi S; Lewnard, Joseph A; Remais, Justin V.
  • Head JR; Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
  • Andrejko KL; Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
  • Cheng Q; Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA.
  • Collender PA; Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA.
  • Phillips S; College of Letters and Science, University of California, Berkeley, CA, USA.
  • Boser A; College of Letters and Science, University of California, Berkeley, CA, USA.
  • Heaney AK; Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA.
  • Hoover CM; Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA.
  • Wu SL; Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
  • Northrup GR; Center for Computational Biology, College of Engineering, University of California, Berkeley, CA, USA.
  • Click K; Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
  • Bardach NS; Department of Pediatrics, School of Medicine, University of California, San Francisco, CA, USA.
  • Lewnard JA; Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
  • Remais JV; Center for Computational Biology, College of Engineering, University of California, Berkeley, CA, USA.
J R Soc Interface ; 18(177): 20200970, 2021 04.
Article in English | MEDLINE | ID: covidwho-1183109
ABSTRACT
School closures may reduce the size of social networks among children, potentially limiting infectious disease transmission. To estimate the impact of K-12 closures and reopening policies on children's social interactions and COVID-19 incidence in California's Bay Area, we collected data on children's social contacts and assessed implications for transmission using an individual-based model. Elementary and Hispanic children had more contacts during closures than high school and non-Hispanic children, respectively. We estimated that spring 2020 closures of elementary schools averted 2167 cases in the Bay Area (95% CI -985, 5572), fewer than middle (5884; 95% CI 1478, 11.550), high school (8650; 95% CI 3054, 15 940) and workplace (15 813; 95% CI 9963, 22 617) closures. Under assumptions of moderate community transmission, we estimated that reopening for a four-month semester without any precautions will increase symptomatic illness among high school teachers (an additional 40.7% expected to experience symptomatic infection, 95% CI 1.9, 61.1), middle school teachers (37.2%, 95% CI 4.6, 58.1) and elementary school teachers (4.1%, 95% CI -1.7, 12.0). However, we found that reopening policies for elementary schools that combine universal masking with classroom cohorts could result in few within-school transmissions, while high schools may require masking plus a staggered hybrid schedule. Stronger community interventions (e.g. remote work, social distancing) decreased the risk of within-school transmission across all measures studied, with the influence of community transmission minimized as the effectiveness of the within-school measures increased.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Child / Humans Language: English Journal: J R Soc Interface Year: 2021 Document Type: Article Affiliation country: Rsif.2020.0970

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Child / Humans Language: English Journal: J R Soc Interface Year: 2021 Document Type: Article Affiliation country: Rsif.2020.0970