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A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies
Novel coronavirus (named SARS-CoV-2) can spread widely in confined settings including hospitals, cruise ships, prisons, and places of worship. In particular, a healthcare-associated outbreak could become the epicenter of coronavirus disease (COVID-19). This study aimed to evaluate the effects of dif...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588052/ https://www.ncbi.nlm.nih.gov/pubmed/33104736 http://dx.doi.org/10.1371/journal.pone.0241169 |
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author | Baek, Yae Jee Lee, Taeyong Cho, Yunsuk Hyun, Jong Hoon Kim, Moo Hyun Sohn, Yujin Kim, Jung Ho Ahn, Jin Young Jeong, Su Jin Ku, Nam Su Yeom, Joon-Sup Lee, Jeehyun Choi, Jun Yong |
author_facet | Baek, Yae Jee Lee, Taeyong Cho, Yunsuk Hyun, Jong Hoon Kim, Moo Hyun Sohn, Yujin Kim, Jung Ho Ahn, Jin Young Jeong, Su Jin Ku, Nam Su Yeom, Joon-Sup Lee, Jeehyun Choi, Jun Yong |
author_sort | Baek, Yae Jee |
collection | PubMed |
description | Novel coronavirus (named SARS-CoV-2) can spread widely in confined settings including hospitals, cruise ships, prisons, and places of worship. In particular, a healthcare-associated outbreak could become the epicenter of coronavirus disease (COVID-19). This study aimed to evaluate the effects of different intervention strategies on the hospital outbreak within a tertiary hospital. A mathematical model was developed for the COVID-19 transmission within a 2500-bed tertiary hospital of South Korea. The SEIR (susceptible-exposed-infectious-recovered) model with a compartment of doctor, nurse, patient, and caregiver was constructed. The effects of different intervention strategies such as front door screening, quarantine unit for newly admitted patients, early testing of suspected infected people, and personal protective equipment for both medical staff and visitors were evaluated. The model suggested that the early testing (within eight hours) of infected cases and monitoring the quarantine ward for newly hospitalized patients are effective measures for decreasing the incidence of COVID-19 within a hospital (81.3% and 70% decrease of number of incident cases, respectively, during 60 days). Front door screening for detecting suspected cases had only 42% effectiveness. Screening for prohibiting the admission of COVID-19 patients was more effective than the measures for patients before emergency room or outpatient clinic. This model suggests that under the assumed conditions, some effective measures have a great influence on the incidence of COVID-19 within a hospital. The implementation of the preventive measures could reduce the size of a hospital outbreak. |
format | Online Article Text |
id | pubmed-7588052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75880522020-10-30 A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies Baek, Yae Jee Lee, Taeyong Cho, Yunsuk Hyun, Jong Hoon Kim, Moo Hyun Sohn, Yujin Kim, Jung Ho Ahn, Jin Young Jeong, Su Jin Ku, Nam Su Yeom, Joon-Sup Lee, Jeehyun Choi, Jun Yong PLoS One Research Article Novel coronavirus (named SARS-CoV-2) can spread widely in confined settings including hospitals, cruise ships, prisons, and places of worship. In particular, a healthcare-associated outbreak could become the epicenter of coronavirus disease (COVID-19). This study aimed to evaluate the effects of different intervention strategies on the hospital outbreak within a tertiary hospital. A mathematical model was developed for the COVID-19 transmission within a 2500-bed tertiary hospital of South Korea. The SEIR (susceptible-exposed-infectious-recovered) model with a compartment of doctor, nurse, patient, and caregiver was constructed. The effects of different intervention strategies such as front door screening, quarantine unit for newly admitted patients, early testing of suspected infected people, and personal protective equipment for both medical staff and visitors were evaluated. The model suggested that the early testing (within eight hours) of infected cases and monitoring the quarantine ward for newly hospitalized patients are effective measures for decreasing the incidence of COVID-19 within a hospital (81.3% and 70% decrease of number of incident cases, respectively, during 60 days). Front door screening for detecting suspected cases had only 42% effectiveness. Screening for prohibiting the admission of COVID-19 patients was more effective than the measures for patients before emergency room or outpatient clinic. This model suggests that under the assumed conditions, some effective measures have a great influence on the incidence of COVID-19 within a hospital. The implementation of the preventive measures could reduce the size of a hospital outbreak. Public Library of Science 2020-10-26 /pmc/articles/PMC7588052/ /pubmed/33104736 http://dx.doi.org/10.1371/journal.pone.0241169 Text en © 2020 Baek et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Baek, Yae Jee Lee, Taeyong Cho, Yunsuk Hyun, Jong Hoon Kim, Moo Hyun Sohn, Yujin Kim, Jung Ho Ahn, Jin Young Jeong, Su Jin Ku, Nam Su Yeom, Joon-Sup Lee, Jeehyun Choi, Jun Yong A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies |
title | A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies |
title_full | A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies |
title_fullStr | A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies |
title_full_unstemmed | A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies |
title_short | A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies |
title_sort | mathematical model of covid-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588052/ https://www.ncbi.nlm.nih.gov/pubmed/33104736 http://dx.doi.org/10.1371/journal.pone.0241169 |
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