论文标题
统计力学研究引入了针对Covid-19疾病的疫苗
Statistical mechanics study of the introduction of a vaccine against COVID-19 disease
论文作者
论文摘要
到2020年底，已经报道了COVID-19病毒感染第一批感染病例以来，隧道末端有一幅光。几家制药公司在开发有效的疫苗针对COVID-19病毒方面取得了重大进展，该病毒夺走了世界上一百万以上人的生命。另一方面，越来越多的证据表明该病毒会再次感染，这可能会导致进一步的爆发。在本文中，我们应用统计物理工具来检查控制三种不同疫苗效率方案所需的疫苗接种率。此外，假设可能重新感染，我们研究时间限制/浮雕对大流行疫情的影响。当检查普通人群在防止这种疾病爆发爆发方面的疫苗接种率效率时，我们发现高疫苗接种率（每天至少有0.3％的人口是疫苗接种的，这相当于美国每天约有100万个疫苗剂量）是为了获得对病毒传播而无需进一步限制而获得的控制。由于对疫苗接种率的可行限制，疫苗接种过程应伴随着现行的限制，直到大多数人口接种疫苗为止。
By the end of 2020, a year since the first cases of infection by the Covid-19 virus have been reported, there is a light at the end of the tunnel. Several pharmaceutical companies made significant progress in developing effective vaccines against the Covid-19 virus that has claimed the lives of more than a million people over the world. On the other hand, there is growing evidence of re-infection by the virus, which can cause further outbreaks. In this paper, we apply statistical physics tools to examine the vaccination rate required to control the pandemic for three different vaccine efficiency scenarios. Also, we study the effect of temporal restrictions/reliefs on the pandemic's outbreak, assuming that re-infection is possible. When examining the efficiency of the vaccination rate of the general population in preventing an additional outbreak of the disease, we find that a high vaccination rate (where at least 0.3% of the population is vaccinated daily, which is equivalent to ~ 1 million vaccine doses in the United States daily) is required to gain control over the spread of the virus without further restrictions. Due to feasible limitations on the vaccination rate, the vaccination process should be accompanied by the prevailing restrictions until most of the population is vaccinated.
