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Evaluating the Need for Routine COVID-19 Testing of Emergency Department Staff: Quantitative Analysis
BACKGROUND: As the number of COVID-19 cases in the US continues to increase and hospitals experience shortage of personal protective equipment (PPE), health care workers have been disproportionately affected. However, since COVID-19 testing is now easily available, there is a need to evaluate whethe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717892/ https://www.ncbi.nlm.nih.gov/pubmed/33052873 http://dx.doi.org/10.2196/20260 |
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author | Zhang, Yuemei Cheng, Sheng-Ru |
author_facet | Zhang, Yuemei Cheng, Sheng-Ru |
author_sort | Zhang, Yuemei |
collection | PubMed |
description | BACKGROUND: As the number of COVID-19 cases in the US continues to increase and hospitals experience shortage of personal protective equipment (PPE), health care workers have been disproportionately affected. However, since COVID-19 testing is now easily available, there is a need to evaluate whether routine testing should be performed for asymptomatic health care workers. OBJECTIVE: This study aimed to provide a quantitative analysis of the predicted impact that regular testing of health care workers for COVID-19 may have on the prevention of the disease among emergency department patients and staff. METHODS: Using publicly available data on COVID-19 cases and emergency department visits, as well as internal hospital staffing information, we developed a mathematical model to predict the impact of periodic COVID-19 testing of asymptomatic staff members of the emergency department in COVID-19–affected regions. We calculated various transmission constants based on the Diamond Princess cruise ship data, used a logistic model to calculate new infections, and developed a Markov model based on the average incubation period for COVID-19. RESULTS: Our model predicts that after 180 days, with a transmission constant of 1.219e-4 new infections/person(2), weekly COVID-19 testing of health care workers would reduce new health care worker and patient infections by approximately 3%-5.9%, and biweekly testing would reduce infections in both by 1%-2.1%. At a transmission constant of 3.660e-4 new infections/person(2), weekly testing would reduce infections by 11%-23% and biweekly testing would reduce infections by 5.5%-13%. At a lower transmission constant of 4.067e-5 new infections/person(2), weekly and biweekly COVID-19 testing for health care workers would result in an approximately 1% and 0.5%-0.8% reduction in infections, respectively. CONCLUSIONS: Periodic COVID-19 testing for emergency department staff in regions that are heavily affected by COVID-19 or are facing resource constraints may significantly reduce COVID-19 transmission among health care workers and previously uninfected patients. |
format | Online Article Text |
id | pubmed-7717892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-77178922020-12-09 Evaluating the Need for Routine COVID-19 Testing of Emergency Department Staff: Quantitative Analysis Zhang, Yuemei Cheng, Sheng-Ru JMIR Public Health Surveill Original Paper BACKGROUND: As the number of COVID-19 cases in the US continues to increase and hospitals experience shortage of personal protective equipment (PPE), health care workers have been disproportionately affected. However, since COVID-19 testing is now easily available, there is a need to evaluate whether routine testing should be performed for asymptomatic health care workers. OBJECTIVE: This study aimed to provide a quantitative analysis of the predicted impact that regular testing of health care workers for COVID-19 may have on the prevention of the disease among emergency department patients and staff. METHODS: Using publicly available data on COVID-19 cases and emergency department visits, as well as internal hospital staffing information, we developed a mathematical model to predict the impact of periodic COVID-19 testing of asymptomatic staff members of the emergency department in COVID-19–affected regions. We calculated various transmission constants based on the Diamond Princess cruise ship data, used a logistic model to calculate new infections, and developed a Markov model based on the average incubation period for COVID-19. RESULTS: Our model predicts that after 180 days, with a transmission constant of 1.219e-4 new infections/person(2), weekly COVID-19 testing of health care workers would reduce new health care worker and patient infections by approximately 3%-5.9%, and biweekly testing would reduce infections in both by 1%-2.1%. At a transmission constant of 3.660e-4 new infections/person(2), weekly testing would reduce infections by 11%-23% and biweekly testing would reduce infections by 5.5%-13%. At a lower transmission constant of 4.067e-5 new infections/person(2), weekly and biweekly COVID-19 testing for health care workers would result in an approximately 1% and 0.5%-0.8% reduction in infections, respectively. CONCLUSIONS: Periodic COVID-19 testing for emergency department staff in regions that are heavily affected by COVID-19 or are facing resource constraints may significantly reduce COVID-19 transmission among health care workers and previously uninfected patients. JMIR Publications 2020-12-03 /pmc/articles/PMC7717892/ /pubmed/33052873 http://dx.doi.org/10.2196/20260 Text en ©Yuemei Zhang, Sheng-Ru Cheng. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 03.12.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Zhang, Yuemei Cheng, Sheng-Ru Evaluating the Need for Routine COVID-19 Testing of Emergency Department Staff: Quantitative Analysis |
title | Evaluating the Need for Routine COVID-19 Testing of Emergency Department Staff: Quantitative Analysis |
title_full | Evaluating the Need for Routine COVID-19 Testing of Emergency Department Staff: Quantitative Analysis |
title_fullStr | Evaluating the Need for Routine COVID-19 Testing of Emergency Department Staff: Quantitative Analysis |
title_full_unstemmed | Evaluating the Need for Routine COVID-19 Testing of Emergency Department Staff: Quantitative Analysis |
title_short | Evaluating the Need for Routine COVID-19 Testing of Emergency Department Staff: Quantitative Analysis |
title_sort | evaluating the need for routine covid-19 testing of emergency department staff: quantitative analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717892/ https://www.ncbi.nlm.nih.gov/pubmed/33052873 http://dx.doi.org/10.2196/20260 |
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