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Evaluation of phase-adjusted interventions for COVID-19 using an improved SEIR model.

Authors :
Jiang, Honglin
Gu, Zhouhong
Liu, Haitong
Huang, Junhui
Wang, Zhengzhong
Xiong, Ying
Tong, Yixin
Yin, Jiangfan
Jiang, Feng
Chen, Yue
Jiang, Qingwu
Zhou, Yibiao
Source :
Epidemiology & Infection; 2024, Vol. 152, p1-9, 9p
Publication Year :
2024

Abstract

A local COVID-19 outbreak with two community clusters occurred in a large industrial city, Shaoxing, China, in December 2021 after serial interventions were imposed. We aimed to understand the reason by analysing the characteristics of the outbreak and evaluating the effects of phase-adjusted interventions. Publicly available data from 7 December 2021 to 25 January 2022 were collected to analyse the epidemiological characteristics of this outbreak. The incubation period was estimated using Hamiltonian Monte Carlo method. A well-fitted extended susceptible-exposed-infectious-recovered model was used to simulate the impact of different interventions under various combination of scenarios. There were 387 SARS-CoV-2-infected cases identified, and 8.3% of them were initially diagnosed as asymptomatic cases. The estimated incubation period was 5.4 (95% CI 5.2–5.7) days for all patients. Strengthened measures of comprehensive quarantine based on tracing led to less infections and a shorter duration of epidemic. With a same period of incubation, comprehensive quarantine was more effective in containing the transmission than other interventions. Our findings reveal an important role of tracing and comprehensive quarantine in blocking community spread when a cluster occurred. Regions with tense resources can adopt home quarantine as a relatively affordable and low-impact intervention measure compared with centralized quarantine. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09502688
Volume :
152
Database :
Complementary Index
Journal :
Epidemiology & Infection
Publication Type :
Academic Journal
Accession number :
178212378
Full Text :
https://doi.org/10.1017/S0950268823001796