AV Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russian Federation.
JMIR Public Health Surveill. 2021 Apr 19;7(4):e21468. doi: 10.2196/21468.
The major medical and social challenge of the 21st century is COVID-19, caused by the novel coronavirus SARS-CoV-2. Critical issues include the rate at which the coronavirus spreads and the effect of quarantine measures and population vaccination on this rate. Knowledge of the laws of the spread of COVID-19 will enable assessment of the effectiveness and reasonableness of the quarantine measures used, as well as determination of the necessary level of vaccination needed to overcome this crisis.
This study aims to establish the laws of the spread of COVID-19 and to use them to develop a mathematical model to predict changes in the number of active cases over time, possible human losses, and the rate of recovery of patients, to make informed decisions about the number of necessary beds in hospitals, the introduction and type of quarantine measures, and the required threshold of vaccination of the population.
This study analyzed the onset of COVID-19 spread in countries such as China, Italy, Spain, the United States, the United Kingdom, Japan, France, and Germany based on publicly available statistical data. The change in the number of COVID-19 cases, deaths, and recovered persons over time was examined, considering the possible introduction of quarantine measures and isolation of infected people in these countries. Based on the data, the virus transmissibility and the average duration of the disease at different stages were evaluated, and a model based on the principle of recursion was developed. Its key features are the separation of active (nonisolated) infected persons into a distinct category and the prediction of their number based on the average duration of the disease in the inactive phase and the concentration of these persons in the population in the preceding days.
Specific values for SARS-CoV-2 transmissibility and COVID-19 duration were estimated for different countries. In China, the viral transmissibility was 3.12 before quarantine measures were implemented and 0.36 after these measures were lifted. For the other countries, the viral transmissibility was 2.28-2.76 initially, and it then decreased to 0.87-1.29 as a result of quarantine measures. Therefore, it can be expected that the spread of SARS-CoV-2 will be suppressed if 56%-64% of the total population becomes vaccinated or survives COVID-19.
The quarantine measures adopted in most countries are too weak compared to those previously used in China. Therefore, it is not expected that the spread of COVID-19 will stop and the disease will cease to exist naturally or owing to quarantine measures. Active vaccination of the population is needed to prevent the spread of COVID-19. Furthermore, the required specific percentage of vaccinated individuals depends on the magnitude of viral transmissibility, which can be evaluated using the proposed model and statistical data for the country of interest.
21 世纪的主要医学和社会挑战是由新型冠状病毒 SARS-CoV-2 引起的 COVID-19。关键问题包括冠状病毒的传播速度以及隔离措施和人口接种对该速度的影响。了解 COVID-19 传播的规律,将能够评估所采用的隔离措施的有效性和合理性,并确定克服这一危机所需的疫苗接种水平。
本研究旨在确定 COVID-19 的传播规律,并利用这些规律建立一个数学模型,以预测随时间推移活跃病例数量的变化、可能的人员损失以及患者康复率,从而做出有关医院所需床位数量、引入和类型的隔离措施以及人口接种所需阈值的明智决策。
本研究基于公开的统计数据,分析了中国、意大利、西班牙、美国、英国、日本、法国和德国等国家 COVID-19 传播的开始情况。研究了随着时间的推移,COVID-19 病例、死亡和康复人数的变化,同时考虑了这些国家可能引入的隔离措施和对感染者的隔离。基于这些数据,评估了病毒的传染性和不同阶段疾病的平均持续时间,并开发了一个基于递归原理的模型。其主要特点是将活跃(未隔离)感染者分为单独的类别,并根据疾病的无活性阶段的平均持续时间和这些人在之前几天的人群中的浓度来预测他们的数量。
为不同国家估计了 SARS-CoV-2 传染性和 COVID-19 持续时间的具体值。在中国,隔离措施实施前,病毒的传染性为 3.12,隔离措施解除后为 0.36。对于其他国家,最初的病毒传染性为 2.28-2.76,然后由于隔离措施,传染性降低到 0.87-1.29。因此,如果总人口的 56%-64%接种疫苗或从 COVID-19 中康复,预计 SARS-CoV-2 的传播将得到抑制。
与中国以前使用的措施相比,大多数国家采取的隔离措施过于薄弱。因此,预计 COVID-19 的传播不会停止,疾病也不会自然停止或由于隔离措施而停止存在。需要对人群进行积极的疫苗接种,以防止 COVID-19 的传播。此外,所需的具体接种人数百分比取决于病毒传染性的大小,这可以使用所提出的模型和感兴趣国家的统计数据进行评估。