论文标题
简单的数学模型，用于控制Covid-19通过社会疏远和社区意识传播
Simple mathematical models for controlling COVID-19 transmission through social distancing and community awareness
论文作者
论文摘要
新颖的Covid-19大流行是当前的主要全球健康威胁。到目前为止，还没有完全批准的药理学治疗或疫苗。在这项研究中，使用简单的数学模型来研究Covid-19的传播和控制的动态，考虑到社会疏远和社区意识。考虑了均质和非均匀人群的两种情况。基于计算，即使在没有疫苗的情况下，也发现基于其生殖比率的足够程度的社会距离也可以有效控制Covid-19。通过接种疫苗，社会距离可最大程度地减少控制疾病的足够疫苗接种率。社区意识在消除病毒传播方面也有很大的影响。该模型在小世界网络上进行了模拟，并解释了社会疏远在控制感染中的作用。
The novel COVID-19 pandemic is a current, major global health threat. Up till now, there is no fully approved pharmacological treatment or a vaccine. In this study, simple mathematical models were employed to examine the dynamics of transmission and control of COVID-19 taking into consideration social distancing and community awareness. Both situations of homogeneous and nonhomogeneous population were considered. Based on the calculations, a sufficient degree of social distancing based on its reproductive ratio is found to be effective in controlling COVID-19, even in the absence of a vaccine. With a vaccine, social distancing minimizes the sufficient vaccination rate to control the disease. Community awareness also has a great impact in eradicating the virus transmission. The model is simulated on small-world networks and the role of social distancing in controlling the infection is explained.
