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How to Reduce the Transmission Risk of COVID-19 More Effectively in New York City: An Age-Structured Model Study
Background: In face of the continuing worldwide COVID-19 epidemic, how to reduce the transmission risk of COVID-19 more effectively is still a major public health challenge that needs to be addressed urgently. Objective: This study aimed to develop an age-structured compartment model to evaluate the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414980/ https://www.ncbi.nlm.nih.gov/pubmed/34485318 http://dx.doi.org/10.3389/fmed.2021.641205 |
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author | Li, Miaolei Zu, Jian Li, Zongfang Shen, Mingwang Li, Yan Ji, Fanpu |
author_facet | Li, Miaolei Zu, Jian Li, Zongfang Shen, Mingwang Li, Yan Ji, Fanpu |
author_sort | Li, Miaolei |
collection | PubMed |
description | Background: In face of the continuing worldwide COVID-19 epidemic, how to reduce the transmission risk of COVID-19 more effectively is still a major public health challenge that needs to be addressed urgently. Objective: This study aimed to develop an age-structured compartment model to evaluate the impact of all diagnosed and all hospitalized on the epidemic trend of COVID-19, and explore innovative and effective releasing strategies for different age groups to prevent the second wave of COVID-19. Methods: Based on three types of COVID-19 data in New York City (NYC), we calibrated the model and estimated the unknown parameters using the Markov Chain Monte Carlo (MCMC) method. Results: Compared with the current practice in NYC, we estimated that if all infected people were diagnosed from March 26, April 5 to April 15, 2020, respectively, then the number of new infections on April 22 was reduced by 98.02, 93.88, and 74.08%. If all confirmed cases were hospitalized from March 26, April 5, and April 15, 2020, respectively, then as of June 7, 2020, the total number of deaths in NYC was reduced by 67.24, 63.43, and 51.79%. When only the 0–17 age group in NYC was released from June 8, if the contact rate in this age group remained below 61% of the pre-pandemic level, then a second wave of COVID-19 could be prevented in NYC. When both the 0–17 and 18–44 age groups in NYC were released from June 8, if the contact rates in these two age groups maintained below 36% of the pre-pandemic level, then a second wave of COVID-19 could be prevented in NYC. Conclusions: If all infected people were diagnosed in time, the daily number of new infections could be significantly reduced in NYC. If all confirmed cases were hospitalized in time, the total number of deaths could be significantly reduced in NYC. Keeping a social distance and relaxing lockdown restrictions for people between the ages of 0 and 44 could not lead to a second wave of COVID-19 in NYC. |
format | Online Article Text |
id | pubmed-8414980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84149802021-09-04 How to Reduce the Transmission Risk of COVID-19 More Effectively in New York City: An Age-Structured Model Study Li, Miaolei Zu, Jian Li, Zongfang Shen, Mingwang Li, Yan Ji, Fanpu Front Med (Lausanne) Medicine Background: In face of the continuing worldwide COVID-19 epidemic, how to reduce the transmission risk of COVID-19 more effectively is still a major public health challenge that needs to be addressed urgently. Objective: This study aimed to develop an age-structured compartment model to evaluate the impact of all diagnosed and all hospitalized on the epidemic trend of COVID-19, and explore innovative and effective releasing strategies for different age groups to prevent the second wave of COVID-19. Methods: Based on three types of COVID-19 data in New York City (NYC), we calibrated the model and estimated the unknown parameters using the Markov Chain Monte Carlo (MCMC) method. Results: Compared with the current practice in NYC, we estimated that if all infected people were diagnosed from March 26, April 5 to April 15, 2020, respectively, then the number of new infections on April 22 was reduced by 98.02, 93.88, and 74.08%. If all confirmed cases were hospitalized from March 26, April 5, and April 15, 2020, respectively, then as of June 7, 2020, the total number of deaths in NYC was reduced by 67.24, 63.43, and 51.79%. When only the 0–17 age group in NYC was released from June 8, if the contact rate in this age group remained below 61% of the pre-pandemic level, then a second wave of COVID-19 could be prevented in NYC. When both the 0–17 and 18–44 age groups in NYC were released from June 8, if the contact rates in these two age groups maintained below 36% of the pre-pandemic level, then a second wave of COVID-19 could be prevented in NYC. Conclusions: If all infected people were diagnosed in time, the daily number of new infections could be significantly reduced in NYC. If all confirmed cases were hospitalized in time, the total number of deaths could be significantly reduced in NYC. Keeping a social distance and relaxing lockdown restrictions for people between the ages of 0 and 44 could not lead to a second wave of COVID-19 in NYC. Frontiers Media S.A. 2021-08-13 /pmc/articles/PMC8414980/ /pubmed/34485318 http://dx.doi.org/10.3389/fmed.2021.641205 Text en Copyright © 2021 Li, Zu, Li, Shen, Li and Ji. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Li, Miaolei Zu, Jian Li, Zongfang Shen, Mingwang Li, Yan Ji, Fanpu How to Reduce the Transmission Risk of COVID-19 More Effectively in New York City: An Age-Structured Model Study |
title | How to Reduce the Transmission Risk of COVID-19 More Effectively in New York City: An Age-Structured Model Study |
title_full | How to Reduce the Transmission Risk of COVID-19 More Effectively in New York City: An Age-Structured Model Study |
title_fullStr | How to Reduce the Transmission Risk of COVID-19 More Effectively in New York City: An Age-Structured Model Study |
title_full_unstemmed | How to Reduce the Transmission Risk of COVID-19 More Effectively in New York City: An Age-Structured Model Study |
title_short | How to Reduce the Transmission Risk of COVID-19 More Effectively in New York City: An Age-Structured Model Study |
title_sort | how to reduce the transmission risk of covid-19 more effectively in new york city: an age-structured model study |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414980/ https://www.ncbi.nlm.nih.gov/pubmed/34485318 http://dx.doi.org/10.3389/fmed.2021.641205 |
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