Using "compartment model" dynamics to understand the transmission regularity of coronavirus disease 2019 (COVID-19) during the outbreak period

Chang Liu
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引用次数: 4

Abstract

Since the outbreak of coronavirus disease 2019 (COVID-19) on a large scale in late January 2020, the relevant reports of COVID-19 dynamics modeling found that it was very important to establish an appropriate data collection system and scientifically deal with massive information for epidemic control. No matter in theory or in practice, the transmission and treatment of virus infected persons with the kind of nonlinear epidemic diseases are affected by various factors, multiple levels, and different prevention and control measures. After confirming the transmission route of "human-to-human transmission", the data change rules of confirmed cases and new cases of infectious population in China and in the early stage of the outbreak I - 40 d after the closure of Wuhan were analyzed. China has quickly adopted measures to control the spread of the virus, such as "city closure", "isolation", and "wearing masks", and has achieved phased success. In order to scientifically determine the degree of harm of infectious diseases, a simplified "two-compartment" model of "transmission phase" and "disposition phase" is proposed and analyzed based on domestic and international epidemic data. It is more practical to study the speed of virus transmission and the dynamics analysis to control the outbreak. Acceding to data from the Global Epidemic l'invonian Consulting Center and WHO. the growth Me 041 and doubling time of the total number of confirmed caws and the number of confirmed cases from the two sources have little change. The study found that the global propagation doubling time is significantly shorter than 6.27 - 7.03 d in China. indicating that the global propagation rate is significantly higher than that in China. K. fir and atonality rate of the total number of confined eases in Italy. Spain. and Iran are obviously different from the global data. The special mortality:ate is significantly higher than the global level, with 9.576s. 6.59%. and 7. Sets respectively. which is alined twice that of the world. Therefore. the study believes that it is the key to deal with the transmission pathway and could of the transmission rate.
利用“隔室模型”动力学了解2019冠状病毒病(COVID-19)在疫情期间的传播规律
自2020年1月下旬2019冠状病毒病(COVID-19)大规模暴发以来,COVID-19动力学建模的相关报道发现,建立适当的数据收集系统,科学处理海量信息对于疫情防控非常重要。这类非线性传染病病毒感染者的传播和治疗,无论在理论上还是在实践中,都受到多种因素、多层次和不同防控措施的影响。在确定了“人传人”传播途径后,分析了中国境内确诊病例和新发病例的数据变化规律,以及疫情爆发初期(武汉封城后1 ~ 40 d)的感染人群数据变化规律。中国迅速采取“封城”、“隔离”、“戴口罩”等防控措施,取得阶段性成效。为了科学地确定传染病的危害程度,基于国内外流行数据,提出了一种简化的“传播期”和“处置期”的“双室”模型,并对其进行了分析。研究病毒的传播速度和动力学分析对控制疫情更为实用。根据全球流行病咨询中心和世卫组织的数据。确诊病例总数和两源确诊病例数的增长速度和翻倍时间变化不大。研究发现,全球繁殖倍增时间显著短于中国的6.27 ~ 7.03 d。说明全球的繁殖速度明显高于中国。K. fir和非通失率的限制在意大利的总数量。西班牙。和伊朗的数据与全球数据明显不同。特殊死亡率为9.576s,显著高于全球水平。6.59%。和7。分别设置。是世界的两倍。因此。研究认为,处理好病毒的传播途径和传播速率是关键。
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