Preventing COVID-19 Transmission in Education Settings

Pediatrics. 2021 Sep;148(3):e2021051438. doi: 10.1542/peds.2021-051438. Epub 2021 Jun 10.

Abstract

Objectives: In fall 2020, community hubs opened in San Francisco, California, to support vulnerable groups of students in remote learning. Our objectives were to (1) describe adherence to coronavirus disease 2019 (COVID-19) mitigation policies in these urban, low-income educational settings; (2) assess associations between policy adherence and in-hub COVID-19 transmission; and (3) identify barriers to and facilitators of adherence.

Methods: We conducted a mixed-methods study from November 2020 to February 2021. We obtained COVID-19 case data from the San Francisco Department of Public Health, conducted field observations to observe adherence to COVID-19 mitigation policies, and surveyed hub leaders about barriers to and facilitators of adherence. We summarized quantitative data using descriptive statistics and qualitative data using thematic content analysis.

Results: A total of 1738 children were enrolled in 85 hubs (39% Hispanic, 29% Black). We observed 54 hubs (n = 1175 observations of children and 295 observations of adults). There was high community-based COVID-19 incidence (2.9-41.2 cases per 100 000 residents per day), with 36 cases in hubs and only 1 case of hub-based transmission (adult to adult). Sixty-seven percent of children and 99% of adults were masked. Fifty-five percent of children and 48% of adults were distanced ≥6 ft. Facilitators of mitigation policies included the following: for masking, reminders, adequate supplies, and "unmasking zones"; for distancing, reminders and distanced seating.

Conclusions: We directly observed COVID-19 mitigation in educational settings, and we found variable adherence. However, with promotion of multiple policies, there was minimal COVID-19 transmission (despite high community incidence). We detail potential strategies for increasing adherence to COVID-19 mitigation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Black or African American / education
  • Black or African American / statistics & numerical data
  • COVID-19 / diagnosis
  • COVID-19 / epidemiology
  • COVID-19 / prevention & control*
  • COVID-19 / transmission
  • Child
  • Child, Preschool
  • Cohort Studies
  • Data Analysis
  • Data Collection
  • Education, Distance* / organization & administration
  • Education, Distance* / statistics & numerical data
  • Guideline Adherence*
  • Hand Disinfection
  • Hispanic or Latino / education
  • Hispanic or Latino / statistics & numerical data
  • Humans
  • Incidence
  • Masks / statistics & numerical data
  • Physical Distancing
  • Poverty Areas
  • San Francisco / epidemiology
  • Students* / statistics & numerical data
  • Symptom Assessment
  • Urban Population
  • Vulnerable Populations*