Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Sci Rep. 2022 Jun 11;12(1):9706. doi: 10.1038/s41598-022-13597-0.
Recurrent updates in non-pharmaceutical interventions (NPIs) aim to control successive waves of the coronavirus disease 2019 (COVID-19) but are often met with low adherence by the public. This study evaluated the effectiveness of gathering restrictions and quarantine policies based on a modified Susceptible-Exposed-Infectious-Hospitalized-Recovered (SEIHR) model by incorporating cross-boundary travellers with or without quarantine to study the transmission dynamics of COVID-19 with data spanning a nine-month period during 2020 in Hong Kong. The asymptotic stability of equilibria reveals that the model exhibits the phenomenon of backward bifurcation, which in this study is a co-existence between a stable disease-free equilibrium (DFE) and an endemic equilibrium (EE). Even if the basic reproduction number ([Formula: see text]) is less than unity, this disease cannot be eliminated. The effect of each parameter on the overall dynamics was assessed using Partial Rank Correlation Coefficients (PRCCs). Transmission rates (i.e., [Formula: see text] and [Formula: see text]), effective contact ratio [Formula: see text] between symptomatic individuals and quarantined people, and transfer rate [Formula: see text] related to infection during quarantine were identified to be the most sensitive parameters. The effective contact ratios between the infectors and susceptible individuals in late July were found to be over twice as high as that in March of 2020, reflecting pandemic fatigue and the potential existence of infection during quarantine.
反复更新非药物干预措施(NPIs)旨在控制 2019 年冠状病毒病(COVID-19)的连续波,但公众的依从性往往较低。本研究通过纳入有或没有隔离的跨境旅行者,根据改进的易感-暴露-感染-住院-康复(SEIHR)模型评估了聚集限制和检疫政策的有效性,以研究 COVID-19 的传播动态,数据涵盖了 2020 年香港九个月的时间。平衡点的渐近稳定性表明,该模型表现出向后分歧的现象,在本研究中,这是稳定的无病平衡点(DFE)和地方病平衡点(EE)之间的共存。即使基本繁殖数([Formula: see text])小于 1,这种疾病也无法消除。使用偏秩相关系数(PRCCs)评估了每个参数对整体动态的影响。发现传播率(即[Formula: see text]和[Formula: see text])、有症状个体与隔离者之间的有效接触率[Formula: see text]以及隔离期间感染的转移率[Formula: see text]是最敏感的参数。7 月下旬感染者与易感者之间的有效接触率被发现是 2020 年 3 月的两倍多,反映出大流行疲劳和隔离期间存在感染的可能性。