Cargando…

Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study

BACKGROUND: The coronavirus disease 2019 (COVID-19) outbreak has seriously endangered the health and lives of Chinese people. In this study, we predicted the COVID-19 epidemic trend and estimated the efficacy of several intervention strategies in the mainland of China. METHODS: According to the COVI...

Descripción completa

Detalles Bibliográficos
Autores principales: Zu, Jian, Li, Miao-Lei, Li, Zong-Fang, Shen, Ming-Wang, Xiao, Yan-Ni, Ji, Fan-Pu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338105/
https://www.ncbi.nlm.nih.gov/pubmed/32631426
http://dx.doi.org/10.1186/s40249-020-00709-z
_version_ 1783554608636887040
author Zu, Jian
Li, Miao-Lei
Li, Zong-Fang
Shen, Ming-Wang
Xiao, Yan-Ni
Ji, Fan-Pu
author_facet Zu, Jian
Li, Miao-Lei
Li, Zong-Fang
Shen, Ming-Wang
Xiao, Yan-Ni
Ji, Fan-Pu
author_sort Zu, Jian
collection PubMed
description BACKGROUND: The coronavirus disease 2019 (COVID-19) outbreak has seriously endangered the health and lives of Chinese people. In this study, we predicted the COVID-19 epidemic trend and estimated the efficacy of several intervention strategies in the mainland of China. METHODS: According to the COVID-19 epidemic status, we constructed a compartmental model. Based on reported data from the National Health Commission of People’s Republic of China during January 10–February 17, 2020, we estimated the model parameters. We then predicted the epidemic trend and transmission risk of COVID-19. Using a sensitivity analysis method, we estimated the efficacy of several intervention strategies. RESULTS: The cumulative number of confirmed cases in the mainland of China will be 86 763 (95% CI: 86 067–87 460) on May 2, 2020. Up until March 15, 2020, the case fatality rate increased to 6.42% (95% CI: 6.16–6.68%). On February 23, 2020, the existing confirmed cases reached its peak, with 60 890 cases (95% CI: 60 350–61 431). On January 23, 2020, the effective reproduction number was 2.620 (95% CI: 2.567–2.676) and had dropped below 1.0 since February 5, 2020. Due to governmental intervention, the total number of confirmed cases was reduced by 99.85% on May 2, 2020. Had the isolation been relaxed from February 24, 2020, there might have been a second peak of infection. However, relaxing the isolation after March 16, 2020 greatly reduced the number of existing confirmed cases and deaths. The total number of confirmed cases and deaths would increase by 8.72 and 9.44%, respectively, due to a 1-day delayed diagnosis in non-isolated infected patients. Moreover, if the coverage of close contact tracing was increased to 100%, the cumulative number of confirmed cases would be decreased by 88.26% on May 2, 2020. CONCLUSIONS: The quarantine measures adopted by the Chinese government since January 23, 2020 were necessary and effective. Postponing the relaxation of isolation, early diagnosis, patient isolation, broad close-contact tracing, and strict monitoring of infected persons could effectively control the COVID-19 epidemic. April 1, 2020 would be a reasonable date to lift quarantine in Hubei and Wuhan.
format Online
Article
Text
id pubmed-7338105
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-73381052020-07-07 Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study Zu, Jian Li, Miao-Lei Li, Zong-Fang Shen, Ming-Wang Xiao, Yan-Ni Ji, Fan-Pu Infect Dis Poverty Research Article BACKGROUND: The coronavirus disease 2019 (COVID-19) outbreak has seriously endangered the health and lives of Chinese people. In this study, we predicted the COVID-19 epidemic trend and estimated the efficacy of several intervention strategies in the mainland of China. METHODS: According to the COVID-19 epidemic status, we constructed a compartmental model. Based on reported data from the National Health Commission of People’s Republic of China during January 10–February 17, 2020, we estimated the model parameters. We then predicted the epidemic trend and transmission risk of COVID-19. Using a sensitivity analysis method, we estimated the efficacy of several intervention strategies. RESULTS: The cumulative number of confirmed cases in the mainland of China will be 86 763 (95% CI: 86 067–87 460) on May 2, 2020. Up until March 15, 2020, the case fatality rate increased to 6.42% (95% CI: 6.16–6.68%). On February 23, 2020, the existing confirmed cases reached its peak, with 60 890 cases (95% CI: 60 350–61 431). On January 23, 2020, the effective reproduction number was 2.620 (95% CI: 2.567–2.676) and had dropped below 1.0 since February 5, 2020. Due to governmental intervention, the total number of confirmed cases was reduced by 99.85% on May 2, 2020. Had the isolation been relaxed from February 24, 2020, there might have been a second peak of infection. However, relaxing the isolation after March 16, 2020 greatly reduced the number of existing confirmed cases and deaths. The total number of confirmed cases and deaths would increase by 8.72 and 9.44%, respectively, due to a 1-day delayed diagnosis in non-isolated infected patients. Moreover, if the coverage of close contact tracing was increased to 100%, the cumulative number of confirmed cases would be decreased by 88.26% on May 2, 2020. CONCLUSIONS: The quarantine measures adopted by the Chinese government since January 23, 2020 were necessary and effective. Postponing the relaxation of isolation, early diagnosis, patient isolation, broad close-contact tracing, and strict monitoring of infected persons could effectively control the COVID-19 epidemic. April 1, 2020 would be a reasonable date to lift quarantine in Hubei and Wuhan. BioMed Central 2020-07-06 /pmc/articles/PMC7338105/ /pubmed/32631426 http://dx.doi.org/10.1186/s40249-020-00709-z Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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
Zu, Jian
Li, Miao-Lei
Li, Zong-Fang
Shen, Ming-Wang
Xiao, Yan-Ni
Ji, Fan-Pu
Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study
title Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study
title_full Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study
title_fullStr Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study
title_full_unstemmed Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study
title_short Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study
title_sort transmission patterns of covid-19 in the mainland of china and the efficacy of different control strategies: a data- and model-driven study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338105/
https://www.ncbi.nlm.nih.gov/pubmed/32631426
http://dx.doi.org/10.1186/s40249-020-00709-z
work_keys_str_mv AT zujian transmissionpatternsofcovid19inthemainlandofchinaandtheefficacyofdifferentcontrolstrategiesadataandmodeldrivenstudy
AT limiaolei transmissionpatternsofcovid19inthemainlandofchinaandtheefficacyofdifferentcontrolstrategiesadataandmodeldrivenstudy
AT lizongfang transmissionpatternsofcovid19inthemainlandofchinaandtheefficacyofdifferentcontrolstrategiesadataandmodeldrivenstudy
AT shenmingwang transmissionpatternsofcovid19inthemainlandofchinaandtheefficacyofdifferentcontrolstrategiesadataandmodeldrivenstudy
AT xiaoyanni transmissionpatternsofcovid19inthemainlandofchinaandtheefficacyofdifferentcontrolstrategiesadataandmodeldrivenstudy
AT jifanpu transmissionpatternsofcovid19inthemainlandofchinaandtheefficacyofdifferentcontrolstrategiesadataandmodeldrivenstudy