Wang Hongzhi, Miao Zhiying, Zhang Chaobao, Wei Xiaona, Li Xiangqi
Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China.
School of Optoelectronics and Information Technology, University of Shanghai for Science and Technology, Shanghai, 200090, China.
Comput Struct Biotechnol J. 2021;19:1966-1975. doi: 10.1016/j.csbj.2021.04.004. Epub 2021 Apr 7.
Infectious disease is a great enemy of humankind. The ravages of COVID-19 are leading to profound crises across the world. There is an urgent requirement for analyzing the current pandemic situation, predicting trends over time, and assessing the effectiveness of containment measures. Thus, numerous statistical models, primarily based on the susceptible-exposed-infected-recovered or removed (SEIR) model, have been established. However, these models are highly technical, which are difficult for the public and governing bodies to understand and use. To address this issue, we developed a simple operating software based on our improved K-SEIR model termed as the kernelkernel SEIR simulator (K-SEIR-Sim). This software includes natural propagation parameters, containment measure parameters, and certain characteristic parameters that can deduce the effects of natural propagation and containment measures. Further, the applicability of the proposed software was demonstrated using the example of the COVID-19 outbreak in the United States and the city of Wuhan, China. Operating results verified the potency of the proposed software in evaluating the epidemic situation and human intervention during COVID-19. Importantly, the software can perform real-time, backward-looking, and forward-looking analysis by functioning in data-driven and model-driven ways. All of them have considerable practical values in their applications according to the actual needs of personal use. Conclusively, K-SEIR-Sim is the first simple customized operating software that is highly valuable for the global fight against COVID-19 and other infectious diseases.
传染病是人类的大敌。新冠疫情的肆虐正在全球引发深刻危机。迫切需要分析当前的疫情形势,预测疫情发展趋势,并评估防控措施的有效性。因此,人们建立了许多主要基于易感-暴露-感染-康复或移除(SEIR)模型的统计模型。然而,这些模型技术含量很高,公众和管理机构难以理解和使用。为了解决这个问题,我们基于改进的K-SEIR模型开发了一款操作简单的软件,称为内核内核SEIR模拟器(K-SEIR-Sim)。该软件包括自然传播参数、防控措施参数以及某些特征参数,这些参数可以推断自然传播和防控措施的效果。此外,我们以美国和中国武汉市的新冠疫情为例,展示了该软件的适用性。运行结果验证了该软件在评估新冠疫情期间的疫情形势和人类干预措施方面的效力。重要的是,该软件可以通过数据驱动和模型驱动的方式进行实时、回顾性和前瞻性分析。根据个人使用的实际需求,所有这些分析在应用中都具有相当大的实用价值。总之,K-SEIR-Sim是首款简单的定制操作软件,对全球抗击新冠疫情及其他传染病具有很高的价值。