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Repeat SARS-CoV-2 testing models for residential college populations
Residential colleges are considering re-opening under uncertain futures regarding the COVID-19 pandemic. We consider repeat SARS-CoV-2 testing models for the purpose of containing outbreaks in the residential campus community. The goal of repeat testing is to detect and isolate new infections rapidl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7669307/ https://www.ncbi.nlm.nih.gov/pubmed/33200374 http://dx.doi.org/10.1007/s10729-020-09526-0 |
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author | Chang, Joseph T. Crawford, Forrest W. Kaplan, Edward H. |
author_facet | Chang, Joseph T. Crawford, Forrest W. Kaplan, Edward H. |
author_sort | Chang, Joseph T. |
collection | PubMed |
description | Residential colleges are considering re-opening under uncertain futures regarding the COVID-19 pandemic. We consider repeat SARS-CoV-2 testing models for the purpose of containing outbreaks in the residential campus community. The goal of repeat testing is to detect and isolate new infections rapidly to block transmission that would otherwise occur both on and off campus. The models allow for specification of aspects including scheduled on-campus resident screening at a given frequency, test sensitivity that can depend on the time since infection, imported infections from off campus throughout the school term, and a lag from testing until student isolation due to laboratory turnaround and student relocation delay. For early- (late-) transmission of SARS-CoV-2 by age of infection, we find that weekly screening cannot reliably contain outbreaks with reproductive numbers above 1.4 (1.6) if more than one imported exposure per 10,000 students occurs daily. Screening every three days can contain outbreaks providing the reproductive number remains below 1.75 (2.3) if transmission happens earlier (later) with time from infection, but at the cost of increased false positive rates requiring more isolation quarters for students testing positive. Testing frequently while minimizing the delay from testing until isolation for those found positive are the most controllable levers for preventing large residential college outbreaks. A web app that implements model calculations is available to facilitate exploration and consideration of a variety of scenarios. |
format | Online Article Text |
id | pubmed-7669307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-76693072020-11-18 Repeat SARS-CoV-2 testing models for residential college populations Chang, Joseph T. Crawford, Forrest W. Kaplan, Edward H. Health Care Manag Sci Article Residential colleges are considering re-opening under uncertain futures regarding the COVID-19 pandemic. We consider repeat SARS-CoV-2 testing models for the purpose of containing outbreaks in the residential campus community. The goal of repeat testing is to detect and isolate new infections rapidly to block transmission that would otherwise occur both on and off campus. The models allow for specification of aspects including scheduled on-campus resident screening at a given frequency, test sensitivity that can depend on the time since infection, imported infections from off campus throughout the school term, and a lag from testing until student isolation due to laboratory turnaround and student relocation delay. For early- (late-) transmission of SARS-CoV-2 by age of infection, we find that weekly screening cannot reliably contain outbreaks with reproductive numbers above 1.4 (1.6) if more than one imported exposure per 10,000 students occurs daily. Screening every three days can contain outbreaks providing the reproductive number remains below 1.75 (2.3) if transmission happens earlier (later) with time from infection, but at the cost of increased false positive rates requiring more isolation quarters for students testing positive. Testing frequently while minimizing the delay from testing until isolation for those found positive are the most controllable levers for preventing large residential college outbreaks. A web app that implements model calculations is available to facilitate exploration and consideration of a variety of scenarios. Springer US 2020-11-17 2021 /pmc/articles/PMC7669307/ /pubmed/33200374 http://dx.doi.org/10.1007/s10729-020-09526-0 Text en © Springer Science+Business Media, LLC, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Chang, Joseph T. Crawford, Forrest W. Kaplan, Edward H. Repeat SARS-CoV-2 testing models for residential college populations |
title | Repeat SARS-CoV-2 testing models for residential college populations |
title_full | Repeat SARS-CoV-2 testing models for residential college populations |
title_fullStr | Repeat SARS-CoV-2 testing models for residential college populations |
title_full_unstemmed | Repeat SARS-CoV-2 testing models for residential college populations |
title_short | Repeat SARS-CoV-2 testing models for residential college populations |
title_sort | repeat sars-cov-2 testing models for residential college populations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7669307/ https://www.ncbi.nlm.nih.gov/pubmed/33200374 http://dx.doi.org/10.1007/s10729-020-09526-0 |
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