Cargando…

Lessons drawn from Shanghai for controlling highly transmissible SARS-CoV-2 variants: insights from a modelling study

BACKGROUND: The continuous emergence of novel SARS-CoV-2 variants with markedly increased transmissibility presents major challenges to the zero-COVID policy in China. It is critical to adjust aspects of the policy about non-pharmaceutical interventions (NPIs) by searching for and implementing more...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Hao, Li, Tangjuan, Gao, Huan, Huang, Chenxi, Tang, Biao, Tang, Sanyi, Cheke, Robert A., Zhou, Weike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186324/
https://www.ncbi.nlm.nih.gov/pubmed/37194011
http://dx.doi.org/10.1186/s12879-023-08316-7
_version_ 1785042535389855744
author Wang, Hao
Li, Tangjuan
Gao, Huan
Huang, Chenxi
Tang, Biao
Tang, Sanyi
Cheke, Robert A.
Zhou, Weike
author_facet Wang, Hao
Li, Tangjuan
Gao, Huan
Huang, Chenxi
Tang, Biao
Tang, Sanyi
Cheke, Robert A.
Zhou, Weike
author_sort Wang, Hao
collection PubMed
description BACKGROUND: The continuous emergence of novel SARS-CoV-2 variants with markedly increased transmissibility presents major challenges to the zero-COVID policy in China. It is critical to adjust aspects of the policy about non-pharmaceutical interventions (NPIs) by searching for and implementing more effective ways. We use a mathematical model to mimic the epidemic pattern of the Omicron variant in Shanghai to quantitatively show the control challenges and investigate the feasibility of different control patterns in avoiding other epidemic waves. METHODS: We initially construct a dynamic model with a core step-by-step release strategy to reveal its role in controlling the spread of COVID-19, including the city-based pattern and the district-based pattern. We used the least squares method and real reported case data to fit the model for Shanghai and its 16 districts, respectively. Optimal control theory was utilized to explore the quantitative and optimal solutions of the time-varying control strength (i.e., contact rate) to suppress the highly transmissible SARS-CoV-2 variants. RESULTS: The necessary period for reaching the zero-COVID goal can be nearly 4 months, and the final epidemic size was 629,625 (95%CI: [608,049, 651,201]). By adopting the city-based pattern, 7 out of 16 strategies released the NPIs more or earlier than the baseline and ensured a zero-resurgence risk at the average cost of 10 to 129 more cases in June. By adopting the district-based pattern, a regional linked release can allow resumption of social activity to ~ 100% in the boundary-region group about 14 days earlier and allow people to flow between different districts without causing infection resurgence. Optimal solutions of the contact rate were obtained with various testing intensities, and higher diagnosis rate correlated with higher optimal contact rate while the number of daily reported cases remained almost unchanged. CONCLUSIONS: Shanghai could have been bolder and more flexible in unleashing social activity than they did. The boundary-region group should be relaxed earlier and more attention should be paid to the centre-region group. With a more intensive testing strategy, people could return to normal life as much as possible but still ensure the epidemic was maintained at a relatively low level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08316-7.
format Online
Article
Text
id pubmed-10186324
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-101863242023-05-17 Lessons drawn from Shanghai for controlling highly transmissible SARS-CoV-2 variants: insights from a modelling study Wang, Hao Li, Tangjuan Gao, Huan Huang, Chenxi Tang, Biao Tang, Sanyi Cheke, Robert A. Zhou, Weike BMC Infect Dis Research BACKGROUND: The continuous emergence of novel SARS-CoV-2 variants with markedly increased transmissibility presents major challenges to the zero-COVID policy in China. It is critical to adjust aspects of the policy about non-pharmaceutical interventions (NPIs) by searching for and implementing more effective ways. We use a mathematical model to mimic the epidemic pattern of the Omicron variant in Shanghai to quantitatively show the control challenges and investigate the feasibility of different control patterns in avoiding other epidemic waves. METHODS: We initially construct a dynamic model with a core step-by-step release strategy to reveal its role in controlling the spread of COVID-19, including the city-based pattern and the district-based pattern. We used the least squares method and real reported case data to fit the model for Shanghai and its 16 districts, respectively. Optimal control theory was utilized to explore the quantitative and optimal solutions of the time-varying control strength (i.e., contact rate) to suppress the highly transmissible SARS-CoV-2 variants. RESULTS: The necessary period for reaching the zero-COVID goal can be nearly 4 months, and the final epidemic size was 629,625 (95%CI: [608,049, 651,201]). By adopting the city-based pattern, 7 out of 16 strategies released the NPIs more or earlier than the baseline and ensured a zero-resurgence risk at the average cost of 10 to 129 more cases in June. By adopting the district-based pattern, a regional linked release can allow resumption of social activity to ~ 100% in the boundary-region group about 14 days earlier and allow people to flow between different districts without causing infection resurgence. Optimal solutions of the contact rate were obtained with various testing intensities, and higher diagnosis rate correlated with higher optimal contact rate while the number of daily reported cases remained almost unchanged. CONCLUSIONS: Shanghai could have been bolder and more flexible in unleashing social activity than they did. The boundary-region group should be relaxed earlier and more attention should be paid to the centre-region group. With a more intensive testing strategy, people could return to normal life as much as possible but still ensure the epidemic was maintained at a relatively low level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08316-7. BioMed Central 2023-05-16 /pmc/articles/PMC10186324/ /pubmed/37194011 http://dx.doi.org/10.1186/s12879-023-08316-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Hao
Li, Tangjuan
Gao, Huan
Huang, Chenxi
Tang, Biao
Tang, Sanyi
Cheke, Robert A.
Zhou, Weike
Lessons drawn from Shanghai for controlling highly transmissible SARS-CoV-2 variants: insights from a modelling study
title Lessons drawn from Shanghai for controlling highly transmissible SARS-CoV-2 variants: insights from a modelling study
title_full Lessons drawn from Shanghai for controlling highly transmissible SARS-CoV-2 variants: insights from a modelling study
title_fullStr Lessons drawn from Shanghai for controlling highly transmissible SARS-CoV-2 variants: insights from a modelling study
title_full_unstemmed Lessons drawn from Shanghai for controlling highly transmissible SARS-CoV-2 variants: insights from a modelling study
title_short Lessons drawn from Shanghai for controlling highly transmissible SARS-CoV-2 variants: insights from a modelling study
title_sort lessons drawn from shanghai for controlling highly transmissible sars-cov-2 variants: insights from a modelling study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186324/
https://www.ncbi.nlm.nih.gov/pubmed/37194011
http://dx.doi.org/10.1186/s12879-023-08316-7
work_keys_str_mv AT wanghao lessonsdrawnfromshanghaiforcontrollinghighlytransmissiblesarscov2variantsinsightsfromamodellingstudy
AT litangjuan lessonsdrawnfromshanghaiforcontrollinghighlytransmissiblesarscov2variantsinsightsfromamodellingstudy
AT gaohuan lessonsdrawnfromshanghaiforcontrollinghighlytransmissiblesarscov2variantsinsightsfromamodellingstudy
AT huangchenxi lessonsdrawnfromshanghaiforcontrollinghighlytransmissiblesarscov2variantsinsightsfromamodellingstudy
AT tangbiao lessonsdrawnfromshanghaiforcontrollinghighlytransmissiblesarscov2variantsinsightsfromamodellingstudy
AT tangsanyi lessonsdrawnfromshanghaiforcontrollinghighlytransmissiblesarscov2variantsinsightsfromamodellingstudy
AT chekeroberta lessonsdrawnfromshanghaiforcontrollinghighlytransmissiblesarscov2variantsinsightsfromamodellingstudy
AT zhouweike lessonsdrawnfromshanghaiforcontrollinghighlytransmissiblesarscov2variantsinsightsfromamodellingstudy