Xiao Y N, Li Q, Zhou W K, Peng Z H, Tang S Y
Center for Intersection of Mathematics and Life Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China.
School of Mathematics and Statistics, Shaanxi Normal University, Xi'an 710019, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2021 Jun 10;42(6):966-976. doi: 10.3760/cma.j.cn112338-20210219-00123.
In the context of COVID-19 pandemic, the epidemic severities, non-pharmaceutical intervention intensities, individual behavior patterns and vaccination coverage vary with countries in the world. China has experienced a long period without indigenous cases, unfortunately, multi local outbreaks caused by imported cases and other factors have been reported, posing great challenges to COVID-19 prevention and control in China. Thus it is necessary to explore the mechanisms of the re-emerged COVID-19 epidemics and their differences. Based on susceptible exposed infectious recovered (SEIR) epidemic dynamics model, we developed a set of novel evolution equations which can describe the dynamic processes of integrated influence of interventions, vaccination coverage and individual behavior changes on the re-emergency of COVID-19 epidemic. We developed methods to calculate the optimal intervention intensity and vaccination rate at which the size of susceptible population can be reduced to less than threshold for the re-emergency of COVID-19 epidemic. If strong interventions or super interventions are lifted too early, even a small cause can lead to the re-emergence of COVID-19 epidemic at different degrees. Moreover, the stronger the early control measures lifted are, the more severe the epidemic is. The individual behavior changes for the susceptibility to the epidemic and the enhancement or lifting of prevention and control measures are key factors to influence the incidence the multi outbreaks of COVID-19. The optimist early intervention measures and timely optimization of vaccination can not only prevent the re-emergency of COVID-19 epidemic, but also effectively lower the peak of the first wave of the epidemic and delay its arrival. The study revealed that factors for the re-emergence of COVID-19 epidemics included the intensity and lifting of interventions, the change of individual behavior to the response of the epidemic, external incentives and the transmissibility of COVID-19.
在新冠疫情背景下,全球各国的疫情严重程度、非药物干预强度、个人行为模式和疫苗接种覆盖率各不相同。中国曾经历了较长一段时间无本土病例的情况,遗憾的是,近期报告了由输入病例等因素引发的多地疫情反弹,给中国的新冠疫情防控带来巨大挑战。因此,有必要探索新冠疫情反弹的机制及其差异。基于易感-暴露-感染-康复(SEIR)传染病动力学模型,我们建立了一组新颖的演化方程,能够描述干预措施、疫苗接种覆盖率和个人行为变化对新冠疫情再次暴发的综合影响动态过程。我们开发了计算最优干预强度和疫苗接种率的方法,在该强度和接种率下,易感人群规模可降至低于新冠疫情再次暴发的阈值。如果过早解除强有力的干预措施或超级干预措施,哪怕是一个小原因都可能导致新冠疫情不同程度的反弹。此外,早期解除的管控措施力度越大,疫情就越严重。个人对疫情易感性的行为变化以及防控措施的加强或解除是影响新冠疫情多次暴发发病率的关键因素。乐观的早期干预措施和及时优化疫苗接种不仅可以预防新冠疫情的再次暴发,还能有效降低第一波疫情的峰值并推迟其到来。该研究表明,新冠疫情再次暴发的因素包括干预措施的强度和解除、个人对疫情反应的行为变化、外部诱因以及新冠病毒的传播性。