Abstract

SARS-CoV-2 infection causes most cases of severe illness and fatality in older age groups. Over 92% of the Chinese population aged ≥12 years has been fully vaccinated against COVID-19 (albeit with vaccines developed against historical lineages). At the end of October 2021, the vaccination programme has been extended to children aged 3–11 years. Here, we aim to assess whether, in this vaccination landscape, the importation of Delta variant infections could shift COVID-19 burden from adults to children. We developed an age-structured susceptible-infectious-removed model of SARS-CoV-2 transmission to simulate epidemics triggered by the importation of Delta variant infections and project the age-specific incidence of SARS-CoV-2 infections, cases, hospitalizations, intensive care unit admissions, and deaths. In the context of the vaccination programme targeting individuals aged ≥12 years, and in the absence of non-pharmaceutical interventions, the importation of Delta variant infections could have led to widespread transmission and substantial disease burden in mainland China, even with vaccination coverage as high as 89% across the eligible age groups. Extending the vaccination roll-out to include children aged 3–11 years (as it was the case since the end of October 2021) is estimated to dramatically decrease the burden of symptomatic infections and hospitalizations within this age group (39% and 68%, respectively, when considering a vaccination coverage of 87%), but would have a low impact on protecting infants. Our findings highlight the importance of including children among the target population and the need to strengthen vaccination efforts by increasing vaccine effectiveness.

Details

Title
Assessing the transition of COVID-19 burden towards the young population while vaccines are rolled out in China*
Author
Cai, Jun 1 ; Yang, Juan 2 ; Deng, Xiaowei 1 ; Cheng, Peng 1 ; Chen, Xinhua 1 ; Wu, Qianhui 1 ; Liu, Hengcong 1 ; Zhang, Juanjuan 2 ; Zheng, Wen 1 ; Zou, Junyi 1 ; Zhao, Zeyao 1 ; Ajelli, Marco 3 ; Yu, Hongjie 2 

 School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, People's Republic of China 
 School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, People's Republic of China; Department of Infectious Diseases, Huashan Hospital, School of Public Health, Fudan University, Shanghai, People's Republic of China; Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, People’s Republic of China 
 Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA 
Pages
1205-1214
Publication year
2022
Publication date
Dec 2022
Publisher
Taylor & Francis Ltd.
e-ISSN
22221751
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2748034891
Copyright
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.