Author
Listed:
- Juhi Aggarwal
(New Jersey Safe Schools Program (NJSS), School of Public Health (SPH), Rutgers Biomedical and Health Sciences, Rutgers—The State University of New Jersey (NJ), Piscataway, NJ 08854, USA
Department of Biostatistics & Epidemiology, School of Public Health (SPH), Rutgers Biomedical and Health Sciences, Rutgers—The State University of New Jersey (NJ), Piscataway, NJ 08854, USA)
- Maureen W. Gichura
(New Jersey Safe Schools Program (NJSS), School of Public Health (SPH), Rutgers Biomedical and Health Sciences, Rutgers—The State University of New Jersey (NJ), Piscataway, NJ 08854, USA
Department of Biostatistics & Epidemiology, School of Public Health (SPH), Rutgers Biomedical and Health Sciences, Rutgers—The State University of New Jersey (NJ), Piscataway, NJ 08854, USA)
- Maryanne L. F. Campbell
(New Jersey Safe Schools Program (NJSS), School of Public Health (SPH), Rutgers Biomedical and Health Sciences, Rutgers—The State University of New Jersey (NJ), Piscataway, NJ 08854, USA)
- Kimberly T. Nguyen
(New Jersey Safe Schools Program (NJSS), School of Public Health (SPH), Rutgers Biomedical and Health Sciences, Rutgers—The State University of New Jersey (NJ), Piscataway, NJ 08854, USA)
- Derek G. Shendell
(New Jersey Safe Schools Program (NJSS), School of Public Health (SPH), Rutgers Biomedical and Health Sciences, Rutgers—The State University of New Jersey (NJ), Piscataway, NJ 08854, USA
Department of Environmental & Occupational Health & Justice, School of Public Health (SPH), Rutgers Biomedical and Health Sciences, Rutgers—The State University of New Jersey (NJ), Piscataway, NJ 08854, USA)
Abstract
Identifying potential rapid methods to track COVID-19 trends within schools has become a necessity in understanding how to provide both education and maintain health and safety during a pandemic. This study examined COVID-19 trends and sociodemographic information in New Jersey (NJ) schools during the 2020–2021 school year. A database was compiled for this study in Microsoft Excel using various state and federal resources. Data used in the study are a combination of extracted data from weekly NJ Spotlight reports, weekly NJ COVID-19 Activity Level Index (NJ CALI) reports, and reports of school-based outbreaks via the NJ Department of Health (NJDOH). In 2020–2021, in NJ K–12 schools, the NJDOH defined a school-based outbreak incidence as two or more students and/or adult staff with a laboratory-confirmed positive molecular test for COVID-19 based on transmission occurring on campus. Data were organized into six regions across 21 counties within NJ (3–4 counties per region per NJDOH). COVID-19 trends in NJ schools mirrored trends in their districts, i.e., communities, within the state’s region; noticeably, there were consistently high trends during the winter holiday season (November 2020–January 2021). The cumulative number of incidences of school-based outbreaks remained relatively low but, nevertheless, increased throughout the 2020–2021 school year. This study recommends increased accessibility to COVID-19 reports for school and public health officials, and in the future for data to be reported to identify rates of transmission of other communicable diseases within K–12 students, and to further reinforce established mandates and other preventative measures in public while traveling during holiday seasons.
Suggested Citation
Juhi Aggarwal & Maureen W. Gichura & Maryanne L. F. Campbell & Kimberly T. Nguyen & Derek G. Shendell, 2022.
"COVID-19 School vs. Community-Based Outbreak Trends among New Jersey K–12 Schools during the 2020–2021 School Year,"
IJERPH, MDPI, vol. 19(15), pages 1-10, July.
Handle:
RePEc:gam:jijerp:v:19:y:2022:i:15:p:9285-:d:875171
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