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Intervention effects in the transmission of COVID-19 depending on the detection rate and extent of isolation
OBJECTIVES: In 2020, the coronavirus disease 2019 (COVID-19) respiratory infection is spreading in Korea. In order to prevent the spread of an infectious disease, infected people must be quickly identified and isolated, and contact with the infected must be blocked early. This study attempted to ver...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Epidemiology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644942/ https://www.ncbi.nlm.nih.gov/pubmed/32580532 http://dx.doi.org/10.4178/epih.e2020045 |
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author | Kwon, Okyu Son, Woo-Sik Kim, Jin Yong Kim, Jong-Hun |
author_facet | Kwon, Okyu Son, Woo-Sik Kim, Jin Yong Kim, Jong-Hun |
author_sort | Kwon, Okyu |
collection | PubMed |
description | OBJECTIVES: In 2020, the coronavirus disease 2019 (COVID-19) respiratory infection is spreading in Korea. In order to prevent the spread of an infectious disease, infected people must be quickly identified and isolated, and contact with the infected must be blocked early. This study attempted to verify the intervention effects on the spread of an infectious disease by using these measures in a mathematical model. METHODS: We used the susceptible-infectious-recovery (SIR) model for a virtual population group connected by a special structured network. In the model, the infected state (I) was divided into I in which the infection is undetected and I(x) in which the infection is detected. The probability of transitioning from an I state to I(x) can be viewed as the rate at which an infected person is found. We assumed that only those connected to each other in the network can cause infection. In addition, this study attempted to evaluate the effects of isolation by temporarily removing the connection among these people. RESULTS: In Scenario 1, only the infected are isolated; in Scenario 2, those who are connected to an infected person and are also found to be infected are isolated as well. In Scenario 3, everyone connected to an infected person are isolated. In Scenario 3, it was possible to effectively suppress the infectious disease even with a relatively slow rate of diagnosis and relatively high infection rate. CONCLUSIONS: During the epidemic, quick identification of the infected is helpful. In addition, it was possible to quantitatively show through a simulation evaluation that the management of infected individuals as well as those who are connected greatly helped to suppress the spread of infectious diseases. |
format | Online Article Text |
id | pubmed-7644942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Korean Society of Epidemiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-76449422020-11-16 Intervention effects in the transmission of COVID-19 depending on the detection rate and extent of isolation Kwon, Okyu Son, Woo-Sik Kim, Jin Yong Kim, Jong-Hun Epidemiol Health COVID-19 OBJECTIVES: In 2020, the coronavirus disease 2019 (COVID-19) respiratory infection is spreading in Korea. In order to prevent the spread of an infectious disease, infected people must be quickly identified and isolated, and contact with the infected must be blocked early. This study attempted to verify the intervention effects on the spread of an infectious disease by using these measures in a mathematical model. METHODS: We used the susceptible-infectious-recovery (SIR) model for a virtual population group connected by a special structured network. In the model, the infected state (I) was divided into I in which the infection is undetected and I(x) in which the infection is detected. The probability of transitioning from an I state to I(x) can be viewed as the rate at which an infected person is found. We assumed that only those connected to each other in the network can cause infection. In addition, this study attempted to evaluate the effects of isolation by temporarily removing the connection among these people. RESULTS: In Scenario 1, only the infected are isolated; in Scenario 2, those who are connected to an infected person and are also found to be infected are isolated as well. In Scenario 3, everyone connected to an infected person are isolated. In Scenario 3, it was possible to effectively suppress the infectious disease even with a relatively slow rate of diagnosis and relatively high infection rate. CONCLUSIONS: During the epidemic, quick identification of the infected is helpful. In addition, it was possible to quantitatively show through a simulation evaluation that the management of infected individuals as well as those who are connected greatly helped to suppress the spread of infectious diseases. Korean Society of Epidemiology 2020-06-23 /pmc/articles/PMC7644942/ /pubmed/32580532 http://dx.doi.org/10.4178/epih.e2020045 Text en ©2020, Korean Society of Epidemiology 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 work is properly cited. |
spellingShingle | COVID-19 Kwon, Okyu Son, Woo-Sik Kim, Jin Yong Kim, Jong-Hun Intervention effects in the transmission of COVID-19 depending on the detection rate and extent of isolation |
title | Intervention effects in the transmission of COVID-19 depending on the detection rate and extent of isolation |
title_full | Intervention effects in the transmission of COVID-19 depending on the detection rate and extent of isolation |
title_fullStr | Intervention effects in the transmission of COVID-19 depending on the detection rate and extent of isolation |
title_full_unstemmed | Intervention effects in the transmission of COVID-19 depending on the detection rate and extent of isolation |
title_short | Intervention effects in the transmission of COVID-19 depending on the detection rate and extent of isolation |
title_sort | intervention effects in the transmission of covid-19 depending on the detection rate and extent of isolation |
topic | COVID-19 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644942/ https://www.ncbi.nlm.nih.gov/pubmed/32580532 http://dx.doi.org/10.4178/epih.e2020045 |
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