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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
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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. |
format | Online Article Text |
id | pubmed-10089860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
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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