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Status已发表Published
TitleModeling the co-circulation of influenza and COVID-19 in Hong Kong, China
Creator
Date Issued2024-12-01
Source PublicationAdvances in Continuous and Discrete Models
ISSN2731-4235
Volume2024Issue:1
Abstract

Background: After abandoning the zero-case strategy for COVID-19 in December 2022 in mainland China, the Hong Kong Special Administrative Region of China (HKSAR) has undergone an anticipated surge of the prevalence of COVID-19, as well as other influenzas, such as influenza A/H1N1, influenza A/H3N2, and influenza B as well. Noteworthy, people are usually concerned about the mutual influences between two families of respiratory viruses, like co-circulation or co-infection. Methods: We fitted a unified model to weekly reported severe COVID-19 cases and the confirmed influenza A laboratory cases in HKSAR, respectively, using the R package POMP to obtain the best fitting and parameter estimates. The reconstructed transmission rates of the COVID-19 (/influenza A) versus the weekly reported influenza A (/COVID-19) confirmations between April 2022 and April 2024 were also compared. Results: Our numerical results suggest that influenza confirmations remained either at a very low level or were absent before 2023, while starting from 2023, the influenza epidemic re-emerged as expected because of the resumption of international travels and other social communications. Besides, the peak of influenza cases in April 2023 favored the form of the peak of COVID-19 between May–June, 2023. Additionally, during the sudden abolishment of the zero-case policy in mainland China (December 2022 to January 2023), we estimated that there were approximately 381 cases imported from mainland China into HKSAR. Conclusions: We estimated the potential number of imported COVID-19 severe cases from mainland China to Hong Kong and revealed some potential population-level interference between the two families of respiratory viruses.

KeywordCOVID-19 Hong Kong Influenza Mathematical modelling Severe cases Zero-case policy
DOI10.1186/s13662-024-03830-7
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaMathematics
WOS SubjectMathematics, Applied ; Mathematics
WOS IDWOS:001303225300001
Scopus ID2-s2.0-85202923267
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/12066
CollectionFaculty of Science and Technology
Corresponding AuthorHe, Daihai
Affiliation
1.Department of Applied Mathematics,Hong Kong Polytechnic University,100872,Hong Kong
2.School of Public Health,Nanjing Medical University,Nanjing,211166,China
3.Beijing Normal University-Hong Kong Baptist University United International College,Zhuhai,519087,China
4.Division of Infectious disease,Chinese Center for Disease Control and Prevention,Beijing,102206,China
5.National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases,Chinese Center for Disease Control and Prevention,Beijing,102206,China
Recommended Citation
GB/T 7714
Wen, Li,Yin, Yi,Li, Qionget al. Modeling the co-circulation of influenza and COVID-19 in Hong Kong, China[J]. Advances in Continuous and Discrete Models, 2024, 2024(1).
APA Wen, Li, Yin, Yi, Li, Qiong, Peng, Zhihang, & He, Daihai. (2024). Modeling the co-circulation of influenza and COVID-19 in Hong Kong, China. Advances in Continuous and Discrete Models, 2024(1).
MLA Wen, Li,et al."Modeling the co-circulation of influenza and COVID-19 in Hong Kong, China". Advances in Continuous and Discrete Models 2024.1(2024).
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