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Individual-based simulation model for COVID-19 transmission in Daegu, Korea

OBJECTIVES: The aims of this study were to obtain insights into the current coronavirus disease 2019 (COVID-19) epidemic in the city of Daegu, which accounted for 6,482 of the 9,241 confirmed cases in Korea as of March 26, 2020, to predict the future spread, and to analyze the impact of school openi...

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Autor principal: Son, Woo-Sik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Epidemiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644934/
https://www.ncbi.nlm.nih.gov/pubmed/32580535
http://dx.doi.org/10.4178/epih.e2020042
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author Son, Woo-Sik
author_facet Son, Woo-Sik
author_sort Son, Woo-Sik
collection PubMed
description OBJECTIVES: The aims of this study were to obtain insights into the current coronavirus disease 2019 (COVID-19) epidemic in the city of Daegu, which accounted for 6,482 of the 9,241 confirmed cases in Korea as of March 26, 2020, to predict the future spread, and to analyze the impact of school opening. METHODS: Using an individual-based model, we simulated the spread of COVID-19 in Daegu. An individual can be infected through close contact with infected people in a household, at work/school, and at religious and social gatherings. We created a synthetic population from census sample data. Then, 9,000 people were randomly selected from the entire population of Daegu and set as members of the Shincheonji Church. We did not take into account population movements to and from other regions in Korea. RESULTS: Using the individual-based model, the cumulative confirmed cases in Daegu through March 26, 2020, were reproduced, and it was confirmed that the hotspot, i.e., the Shincheonji Church had a different probability of infection than non-hotspot, i.e., the Daegu community. For 3 scenarios (I: school closing, II: school opening after April 6, III: school opening after April 6 and the mean period from symptom onset to hospitalization increasing to 4.3 days), we predicted future changes in the pattern of COVID-19 spread in Daegu. CONCLUSIONS: Compared to scenario I, it was found that in scenario III, the cumulative number of patients would increase by 107 and the date of occurrence of the last patient would be delayed by 92 days.
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spelling pubmed-76449342020-11-16 Individual-based simulation model for COVID-19 transmission in Daegu, Korea Son, Woo-Sik Epidemiol Health Covid-19 OBJECTIVES: The aims of this study were to obtain insights into the current coronavirus disease 2019 (COVID-19) epidemic in the city of Daegu, which accounted for 6,482 of the 9,241 confirmed cases in Korea as of March 26, 2020, to predict the future spread, and to analyze the impact of school opening. METHODS: Using an individual-based model, we simulated the spread of COVID-19 in Daegu. An individual can be infected through close contact with infected people in a household, at work/school, and at religious and social gatherings. We created a synthetic population from census sample data. Then, 9,000 people were randomly selected from the entire population of Daegu and set as members of the Shincheonji Church. We did not take into account population movements to and from other regions in Korea. RESULTS: Using the individual-based model, the cumulative confirmed cases in Daegu through March 26, 2020, were reproduced, and it was confirmed that the hotspot, i.e., the Shincheonji Church had a different probability of infection than non-hotspot, i.e., the Daegu community. For 3 scenarios (I: school closing, II: school opening after April 6, III: school opening after April 6 and the mean period from symptom onset to hospitalization increasing to 4.3 days), we predicted future changes in the pattern of COVID-19 spread in Daegu. CONCLUSIONS: Compared to scenario I, it was found that in scenario III, the cumulative number of patients would increase by 107 and the date of occurrence of the last patient would be delayed by 92 days. Korean Society of Epidemiology 2020-06-15 /pmc/articles/PMC7644934/ /pubmed/32580535 http://dx.doi.org/10.4178/epih.e2020042 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
Son, Woo-Sik
Individual-based simulation model for COVID-19 transmission in Daegu, Korea
title Individual-based simulation model for COVID-19 transmission in Daegu, Korea
title_full Individual-based simulation model for COVID-19 transmission in Daegu, Korea
title_fullStr Individual-based simulation model for COVID-19 transmission in Daegu, Korea
title_full_unstemmed Individual-based simulation model for COVID-19 transmission in Daegu, Korea
title_short Individual-based simulation model for COVID-19 transmission in Daegu, Korea
title_sort individual-based simulation model for covid-19 transmission in daegu, korea
topic Covid-19
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644934/
https://www.ncbi.nlm.nih.gov/pubmed/32580535
http://dx.doi.org/10.4178/epih.e2020042
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