Skip navigation

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

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. ORCID logoORCID: https://orcid.org/0000-0002-7437-1934 and Zhou, Weike (2023) Lessons drawn from Shanghai for controlling highly transmissible SARS‑CoV‑2 variants: insights from a modelling study. BMC Infectious Diseases, 23:331. ISSN 1471-2334 (Online) (doi:10.1186/s12879-023-08316-7)

[thumbnail of Open Access Article]
Preview
PDF (Open Access Article)
42700 CHEKE_Controlling_Highly_Transmissible_SARS-CoV-2_Variants_(OA)_2023.pdf - Published Version
Available under License Creative Commons Attribution.

Download (6MB) | Preview

Abstract

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 nonpharmaceutical 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.

Item Type: Article
Uncontrolled Keywords: COVID-19, step-by-step NPI release strategy, city-based pattern, district-based pattern, optimal control
Subjects: R Medicine > R Medicine (General)
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Faculty of Engineering & Science > Natural Resources Institute > Centre for Sustainable Agriculture 4 One Health
Faculty of Engineering & Science > Natural Resources Institute > Centre for Sustainable Agriculture 4 One Health > Behavioural Ecology
Last Modified: 27 Nov 2024 14:29
URI: http://gala.gre.ac.uk/id/eprint/42700

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics