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The optimal vaccination strategy to control COVID-19: a modeling study in Wuhan City, China
BACKGROUND: Reaching optimal vaccination rates is an essential public health strategy to control the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to simulate the optimal vaccination strategy to control the disease by developing an age-specific model based on the current transmissio...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712277/ https://www.ncbi.nlm.nih.gov/pubmed/34963481 http://dx.doi.org/10.1186/s40249-021-00922-4 |
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author | Zhao, Ze-yu Niu, Yan Luo, Li Hu, Qing-qing Yang, Tian-long Chu, Mei-jie Chen, Qiu-ping Lei, Zhao Rui, Jia Song, Cheng-long Lin, Sheng-nan Wang, Yao Xu, Jing-wen Zhu, Yuan-zhao Liu, Xing-chun Yang, Meng Huang, Jie-feng Liu, Wei-kang Deng, Bin Liu, Chan Li, Zhuo-yang Li, Pei-hua Su, Yan-hua Zhao, Ben-hua Huang, Wen-long Frutos, Roger Chen, Tian-mu |
author_facet | Zhao, Ze-yu Niu, Yan Luo, Li Hu, Qing-qing Yang, Tian-long Chu, Mei-jie Chen, Qiu-ping Lei, Zhao Rui, Jia Song, Cheng-long Lin, Sheng-nan Wang, Yao Xu, Jing-wen Zhu, Yuan-zhao Liu, Xing-chun Yang, Meng Huang, Jie-feng Liu, Wei-kang Deng, Bin Liu, Chan Li, Zhuo-yang Li, Pei-hua Su, Yan-hua Zhao, Ben-hua Huang, Wen-long Frutos, Roger Chen, Tian-mu |
author_sort | Zhao, Ze-yu |
collection | PubMed |
description | BACKGROUND: Reaching optimal vaccination rates is an essential public health strategy to control the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to simulate the optimal vaccination strategy to control the disease by developing an age-specific model based on the current transmission patterns of COVID-19 in Wuhan City, China. METHODS: We collected two indicators of COVID-19, including illness onset data and age of confirmed case in Wuhan City, from December 2, 2019, to March 16, 2020. The reported cases were divided into four age groups: group 1, ≤ 14 years old; group 2, 15 to 44 years old; group 3, 44 to 64 years old; and group 4, ≥ 65 years old. An age-specific susceptible-exposed-symptomatic-asymptomatic-recovered/removed model was developed to estimate the transmissibility and simulate the optimal vaccination strategy. The effective reproduction number (R(eff)) was used to estimate the transmission interaction in different age groups. RESULTS: A total of 47 722 new cases were reported in Wuhan City from December 2, 2019, to March 16, 2020. Before the travel ban of Wuhan City, the highest transmissibility was observed among age group 2 (R(eff) = 4.28), followed by group 2 to 3 (R(eff) = 2.61), and group 2 to 4 (R(eff) = 1.69). China should vaccinate at least 85% of the total population to interrupt transmission. The priority for controlling transmission should be to vaccinate 5% to 8% of individuals in age group 2 per day (ultimately vaccinated 90% of age group 2), followed by 10% of age group 3 per day (ultimately vaccinated 90% age group 3). However, the optimal vaccination strategy for reducing the disease severity identified individuals ≥ 65 years old as a priority group, followed by those 45–64 years old. CONCLUSIONS: Approximately 85% of the total population (nearly 1.2 billion people) should be vaccinated to build an immune barrier in China to safely consider removing border restrictions. Based on these results, we concluded that 90% of adults aged 15–64 years should first be vaccinated to prevent transmission in China. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-021-00922-4. |
format | Online Article Text |
id | pubmed-8712277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87122772021-12-28 The optimal vaccination strategy to control COVID-19: a modeling study in Wuhan City, China Zhao, Ze-yu Niu, Yan Luo, Li Hu, Qing-qing Yang, Tian-long Chu, Mei-jie Chen, Qiu-ping Lei, Zhao Rui, Jia Song, Cheng-long Lin, Sheng-nan Wang, Yao Xu, Jing-wen Zhu, Yuan-zhao Liu, Xing-chun Yang, Meng Huang, Jie-feng Liu, Wei-kang Deng, Bin Liu, Chan Li, Zhuo-yang Li, Pei-hua Su, Yan-hua Zhao, Ben-hua Huang, Wen-long Frutos, Roger Chen, Tian-mu Infect Dis Poverty Research Article BACKGROUND: Reaching optimal vaccination rates is an essential public health strategy to control the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to simulate the optimal vaccination strategy to control the disease by developing an age-specific model based on the current transmission patterns of COVID-19 in Wuhan City, China. METHODS: We collected two indicators of COVID-19, including illness onset data and age of confirmed case in Wuhan City, from December 2, 2019, to March 16, 2020. The reported cases were divided into four age groups: group 1, ≤ 14 years old; group 2, 15 to 44 years old; group 3, 44 to 64 years old; and group 4, ≥ 65 years old. An age-specific susceptible-exposed-symptomatic-asymptomatic-recovered/removed model was developed to estimate the transmissibility and simulate the optimal vaccination strategy. The effective reproduction number (R(eff)) was used to estimate the transmission interaction in different age groups. RESULTS: A total of 47 722 new cases were reported in Wuhan City from December 2, 2019, to March 16, 2020. Before the travel ban of Wuhan City, the highest transmissibility was observed among age group 2 (R(eff) = 4.28), followed by group 2 to 3 (R(eff) = 2.61), and group 2 to 4 (R(eff) = 1.69). China should vaccinate at least 85% of the total population to interrupt transmission. The priority for controlling transmission should be to vaccinate 5% to 8% of individuals in age group 2 per day (ultimately vaccinated 90% of age group 2), followed by 10% of age group 3 per day (ultimately vaccinated 90% age group 3). However, the optimal vaccination strategy for reducing the disease severity identified individuals ≥ 65 years old as a priority group, followed by those 45–64 years old. CONCLUSIONS: Approximately 85% of the total population (nearly 1.2 billion people) should be vaccinated to build an immune barrier in China to safely consider removing border restrictions. Based on these results, we concluded that 90% of adults aged 15–64 years should first be vaccinated to prevent transmission in China. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-021-00922-4. BioMed Central 2021-12-28 /pmc/articles/PMC8712277/ /pubmed/34963481 http://dx.doi.org/10.1186/s40249-021-00922-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Zhao, Ze-yu Niu, Yan Luo, Li Hu, Qing-qing Yang, Tian-long Chu, Mei-jie Chen, Qiu-ping Lei, Zhao Rui, Jia Song, Cheng-long Lin, Sheng-nan Wang, Yao Xu, Jing-wen Zhu, Yuan-zhao Liu, Xing-chun Yang, Meng Huang, Jie-feng Liu, Wei-kang Deng, Bin Liu, Chan Li, Zhuo-yang Li, Pei-hua Su, Yan-hua Zhao, Ben-hua Huang, Wen-long Frutos, Roger Chen, Tian-mu The optimal vaccination strategy to control COVID-19: a modeling study in Wuhan City, China |
title | The optimal vaccination strategy to control COVID-19: a modeling study in Wuhan City, China |
title_full | The optimal vaccination strategy to control COVID-19: a modeling study in Wuhan City, China |
title_fullStr | The optimal vaccination strategy to control COVID-19: a modeling study in Wuhan City, China |
title_full_unstemmed | The optimal vaccination strategy to control COVID-19: a modeling study in Wuhan City, China |
title_short | The optimal vaccination strategy to control COVID-19: a modeling study in Wuhan City, China |
title_sort | optimal vaccination strategy to control covid-19: a modeling study in wuhan city, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712277/ https://www.ncbi.nlm.nih.gov/pubmed/34963481 http://dx.doi.org/10.1186/s40249-021-00922-4 |
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