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Real-time assessment of COVID-19 epidemic in Guangdong Province, China using mathematical models

China government has relaxed the response measures of COVID-19 in early December 2022. In this report, we assessed the number of infections, the number of severe cases based on the current epidemic trend (October 22, 2022 to November 30, 2022) using a transmission dynamics model, called modified sus...

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Autores principales: Zeng, Zhiqi, Qu, Wei, Liu, Ruibin, Guan, Wenda, Liang, Jingyi, Lin, Zhijie, Lau, Eric H. Y., Hon, Chitin, Yang, Zifeng, He, Jianxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089860/
https://www.ncbi.nlm.nih.gov/pubmed/37065584
http://dx.doi.org/10.21037/jtd-23-47
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author Zeng, Zhiqi
Qu, Wei
Liu, Ruibin
Guan, Wenda
Liang, Jingyi
Lin, Zhijie
Lau, Eric H. Y.
Hon, Chitin
Yang, Zifeng
He, Jianxing
author_facet Zeng, Zhiqi
Qu, Wei
Liu, Ruibin
Guan, Wenda
Liang, Jingyi
Lin, Zhijie
Lau, Eric H. Y.
Hon, Chitin
Yang, Zifeng
He, Jianxing
author_sort Zeng, Zhiqi
collection PubMed
description China government has relaxed the response measures of COVID-19 in early December 2022. In this report, we assessed the number of infections, the number of severe cases based on the current epidemic trend (October 22, 2022 to November 30, 2022) using a transmission dynamics model, called modified susceptible-exposed-infectious-removed (SEIR) to provide valuable information to ensure the medical operation of the healthcare system under the new situation. Our model showed that the present outbreak in Guangdong Province peaked during December 21, 2022 to December 25, 2022 with about 14.98 million new infections (95% CI: 14.23–15.73 million). The cumulative number of infections will reach about 70% of the province’s population from December 24, 2022 to December 26, 2022. The number of existing severe cases is expected to peak during January 1, 2023 to January 5, 2023 with a peak number of approximately 101.45 thousand (95% CI: 96.38–106.52 thousand). In addition, the epidemic in Guangzhou which is the capital city of Guangdong Province is expected to have peaked around December 22, 2022 to December 23, 2022 with the number of new infections at the peak being about 2.45 million (95% CI: 2.33–2.57 million). The cumulative number of infected people will reach about 70% of the city's population from December 24, 2022 to December 25, 2022 and the number of existing severe cases is expected to peak around January 4, 2023 to January 6, 2023 with the number of existing severe cases at the peak being about 6.32 thousand (95% CI: 6.00–6.64 thousand). Predicted results enable the government to prepare medically and plan for potential risks in advance.
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spelling pubmed-100898602023-04-13 Real-time assessment of COVID-19 epidemic in Guangdong Province, China using mathematical models Zeng, Zhiqi Qu, Wei Liu, Ruibin Guan, Wenda Liang, Jingyi Lin, Zhijie Lau, Eric H. Y. Hon, Chitin Yang, Zifeng He, Jianxing J Thorac Dis Brief Report on Current Status of Diagnosis and Forecast of COVID-19 China government has relaxed the response measures of COVID-19 in early December 2022. In this report, we assessed the number of infections, the number of severe cases based on the current epidemic trend (October 22, 2022 to November 30, 2022) using a transmission dynamics model, called modified susceptible-exposed-infectious-removed (SEIR) to provide valuable information to ensure the medical operation of the healthcare system under the new situation. Our model showed that the present outbreak in Guangdong Province peaked during December 21, 2022 to December 25, 2022 with about 14.98 million new infections (95% CI: 14.23–15.73 million). The cumulative number of infections will reach about 70% of the province’s population from December 24, 2022 to December 26, 2022. The number of existing severe cases is expected to peak during January 1, 2023 to January 5, 2023 with a peak number of approximately 101.45 thousand (95% CI: 96.38–106.52 thousand). In addition, the epidemic in Guangzhou which is the capital city of Guangdong Province is expected to have peaked around December 22, 2022 to December 23, 2022 with the number of new infections at the peak being about 2.45 million (95% CI: 2.33–2.57 million). The cumulative number of infected people will reach about 70% of the city's population from December 24, 2022 to December 25, 2022 and the number of existing severe cases is expected to peak around January 4, 2023 to January 6, 2023 with the number of existing severe cases at the peak being about 6.32 thousand (95% CI: 6.00–6.64 thousand). Predicted results enable the government to prepare medically and plan for potential risks in advance. AME Publishing Company 2023-03-20 2023-03-31 /pmc/articles/PMC10089860/ /pubmed/37065584 http://dx.doi.org/10.21037/jtd-23-47 Text en 2023 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Brief Report on Current Status of Diagnosis and Forecast of COVID-19
Zeng, Zhiqi
Qu, Wei
Liu, Ruibin
Guan, Wenda
Liang, Jingyi
Lin, Zhijie
Lau, Eric H. Y.
Hon, Chitin
Yang, Zifeng
He, Jianxing
Real-time assessment of COVID-19 epidemic in Guangdong Province, China using mathematical models
title Real-time assessment of COVID-19 epidemic in Guangdong Province, China using mathematical models
title_full Real-time assessment of COVID-19 epidemic in Guangdong Province, China using mathematical models
title_fullStr Real-time assessment of COVID-19 epidemic in Guangdong Province, China using mathematical models
title_full_unstemmed Real-time assessment of COVID-19 epidemic in Guangdong Province, China using mathematical models
title_short Real-time assessment of COVID-19 epidemic in Guangdong Province, China using mathematical models
title_sort real-time assessment of covid-19 epidemic in guangdong province, china using mathematical models
topic Brief Report on Current Status of Diagnosis and Forecast of COVID-19
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089860/
https://www.ncbi.nlm.nih.gov/pubmed/37065584
http://dx.doi.org/10.21037/jtd-23-47
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