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COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China
BACKGROUND: A COVID-19 outbreak in the rural areas of Shijiazhuang City was attributed to the complex interactions among vaccination, host, and non-pharmaceutical interventions (NPIs). Herein, we investigated the epidemiological characteristics of all reported symptomatic cases by picking Shijiazhua...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495604/ https://www.ncbi.nlm.nih.gov/pubmed/37706095 http://dx.doi.org/10.1016/j.idm.2023.08.004 |
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author | Wei, Fengying Zhou, Ruiyang Jin, Zhen Huang, Senzhong Peng, Zhihang Wang, Jinjie Xu, Ximing Zhang, Xinyan Xu, Jun Bai, Yao Wang, Xiaoli Lu, Bulai Wang, Zhaojun Xu, Jianguo |
author_facet | Wei, Fengying Zhou, Ruiyang Jin, Zhen Huang, Senzhong Peng, Zhihang Wang, Jinjie Xu, Ximing Zhang, Xinyan Xu, Jun Bai, Yao Wang, Xiaoli Lu, Bulai Wang, Zhaojun Xu, Jianguo |
author_sort | Wei, Fengying |
collection | PubMed |
description | BACKGROUND: A COVID-19 outbreak in the rural areas of Shijiazhuang City was attributed to the complex interactions among vaccination, host, and non-pharmaceutical interventions (NPIs). Herein, we investigated the epidemiological characteristics of all reported symptomatic cases by picking Shijiazhuang City, Hebei Province in Northern China as research objective. In addition, we established a with age-group mathematical model to perform the optimal fitting and to investigate the dynamical profiles under three scenarios. METHODS: All reported symptomatic cases of Shijiazhuang epidemic (January 2-February 3, 2021) were investigated in our study. The cases were classified by gender, age group and location, the distributions were analyzed by epidemiological characteristics. Furthermore, the reported data from Health Commission of Hebei Province was also analyzed by using an age-group mathematical model by two phases and three scenarios. RESULTS: Shijiazhuang epidemic caused by SARS-CoV-2 wild strain was recorded with the peak 84 cases out of 868 reported symptomatic cases on January 11, 2021, which was implemented with strong NPIs by local government and referred as baseline situation in this study. The research results showed that R(0) under baseline situation ranged from 4.47 to 7.72, and R(t) of Gaocheng Distinct took 3.72 with 95% confidence interval from 3.23 to 4.35 on January 9, the declining tendencies of R(t) under baseline situation were kept till February 3, the value of R(t) reached below 1 on January 19 and remained low value up to February 3 for Gaocheng District and Shijiazhuang City during Shijiazhuang epidemic. This indicated Shijiazhuang epidemic was under control on January 19. However, if the strong NPIs were kept, but remote isolation operated on January 11 was not implemented as of February 9, then the scale of Shijiazhuang epidemic reached 9482 cases from age group who were 60 years old and over out of 31,017 symptomatic cases. The investigation also revealed that Shijiazhuang epidemic reached 132,648 symptomatic cases for age group who were 60 years old and over (short for G2) under risk-based strategies (Scenario A), 58,048 symptomatic cases for G2 under late quarantine strategies (Scenario B) and 207,124 symptomatic cases for G2 under late quarantine double risk strategies (Scenario C), and that the corresponding transmission tendencies of R(t) for three scenarios were consistently controlled on Jan 29, 2021. Compared with baseline situation, the dates for controlling R(t) below 1 under three scenarios were delayed 10 days. CONCLUSIONS: Shijiazhuang epidemic was the first COVID-19 outbreak in the rural areas in Hebei Province of Northern China. The targeted interventions adopted in early 2021 were effective to halt the transmission due to the implementation of a strict and village-wide closure. However we found that age group profile and NPIs played critical rules to successfully contain Shijiazhuang epidemic, which should be considered by public health policies in rural areas of mainland China during the dynamic zero-COVID policy. |
format | Online Article Text |
id | pubmed-10495604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-104956042023-09-13 COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China Wei, Fengying Zhou, Ruiyang Jin, Zhen Huang, Senzhong Peng, Zhihang Wang, Jinjie Xu, Ximing Zhang, Xinyan Xu, Jun Bai, Yao Wang, Xiaoli Lu, Bulai Wang, Zhaojun Xu, Jianguo Infect Dis Model Article BACKGROUND: A COVID-19 outbreak in the rural areas of Shijiazhuang City was attributed to the complex interactions among vaccination, host, and non-pharmaceutical interventions (NPIs). Herein, we investigated the epidemiological characteristics of all reported symptomatic cases by picking Shijiazhuang City, Hebei Province in Northern China as research objective. In addition, we established a with age-group mathematical model to perform the optimal fitting and to investigate the dynamical profiles under three scenarios. METHODS: All reported symptomatic cases of Shijiazhuang epidemic (January 2-February 3, 2021) were investigated in our study. The cases were classified by gender, age group and location, the distributions were analyzed by epidemiological characteristics. Furthermore, the reported data from Health Commission of Hebei Province was also analyzed by using an age-group mathematical model by two phases and three scenarios. RESULTS: Shijiazhuang epidemic caused by SARS-CoV-2 wild strain was recorded with the peak 84 cases out of 868 reported symptomatic cases on January 11, 2021, which was implemented with strong NPIs by local government and referred as baseline situation in this study. The research results showed that R(0) under baseline situation ranged from 4.47 to 7.72, and R(t) of Gaocheng Distinct took 3.72 with 95% confidence interval from 3.23 to 4.35 on January 9, the declining tendencies of R(t) under baseline situation were kept till February 3, the value of R(t) reached below 1 on January 19 and remained low value up to February 3 for Gaocheng District and Shijiazhuang City during Shijiazhuang epidemic. This indicated Shijiazhuang epidemic was under control on January 19. However, if the strong NPIs were kept, but remote isolation operated on January 11 was not implemented as of February 9, then the scale of Shijiazhuang epidemic reached 9482 cases from age group who were 60 years old and over out of 31,017 symptomatic cases. The investigation also revealed that Shijiazhuang epidemic reached 132,648 symptomatic cases for age group who were 60 years old and over (short for G2) under risk-based strategies (Scenario A), 58,048 symptomatic cases for G2 under late quarantine strategies (Scenario B) and 207,124 symptomatic cases for G2 under late quarantine double risk strategies (Scenario C), and that the corresponding transmission tendencies of R(t) for three scenarios were consistently controlled on Jan 29, 2021. Compared with baseline situation, the dates for controlling R(t) below 1 under three scenarios were delayed 10 days. CONCLUSIONS: Shijiazhuang epidemic was the first COVID-19 outbreak in the rural areas in Hebei Province of Northern China. The targeted interventions adopted in early 2021 were effective to halt the transmission due to the implementation of a strict and village-wide closure. However we found that age group profile and NPIs played critical rules to successfully contain Shijiazhuang epidemic, which should be considered by public health policies in rural areas of mainland China during the dynamic zero-COVID policy. KeAi Publishing 2023-08-18 /pmc/articles/PMC10495604/ /pubmed/37706095 http://dx.doi.org/10.1016/j.idm.2023.08.004 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Wei, Fengying Zhou, Ruiyang Jin, Zhen Huang, Senzhong Peng, Zhihang Wang, Jinjie Xu, Ximing Zhang, Xinyan Xu, Jun Bai, Yao Wang, Xiaoli Lu, Bulai Wang, Zhaojun Xu, Jianguo COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China |
title | COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China |
title_full | COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China |
title_fullStr | COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China |
title_full_unstemmed | COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China |
title_short | COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China |
title_sort | covid-19 transmission driven by age-group mathematical model in shijiazhuang city of china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495604/ https://www.ncbi.nlm.nih.gov/pubmed/37706095 http://dx.doi.org/10.1016/j.idm.2023.08.004 |
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