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Mathematical Analysis for Transmission of COVID-19最新文献

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Modeling the Impact of Nationwide BCG Vaccine Recommendations on COVID-19 Transmission, Severity, and Mortality 模拟全国卡介苗推荐对COVID-19传播、严重程度和死亡率的影响
Pub Date : 2020-05-14 DOI: 10.1101/2020.05.10.20097121
Nita H. Shah, A. Suthar, Moksha H. Satia, Yash Shah, N. Shukla, J. Shukla, Dhairya Shukla
COVID-19 was declared as pandemic on 11th March 2020 by WHO. There are apparent dissimilarities in incidence and mortality of COVID-19 cases in different parts of world. Developing countries in Asia and Africa with fragile health system have shown lower incidence and mortality compared to developed countries with superior health system in Europe and America. Most countries in Asia and Africa have national BCG vaccination program while Europe and America do not have such program, or have ceased it. At present, there is no known therapy to treat COVID-19 disease. There is no vaccine available currently to prevent COVID- 19 disease. As mathematical modelling is ideal for predicting the rate of disease transmission as well as evaluating efficacy of possible public health prevention measures, we have created a mathematical model with seven compartments to understand nationwide BCG vaccine recommendation on COVID-19 transmission, severity and mortality. We have computed two basic reproduction number, one at vaccine free equilibrium point and other at non-vaccine free equilibrium point and carried out local stability, sensitivity and numerical analysis. Our result showed that individuals with BCG vaccinations have lower risk of getting COVID-19 infection, shorter hospital stays, and increased rate of recovery. Furthermore, countries with long-standing universal BCG vaccination policies have reduced incidence, mortality, and severity of COVID-19. Further research will focus on exploring the immediate benefits of vaccination to healthcare workers and patients as well as benefits of BCG re-vaccination.
世卫组织于2020年3月11日宣布COVID-19为大流行。在世界不同地区,COVID-19病例的发病率和死亡率存在明显差异。卫生系统脆弱的亚洲和非洲发展中国家与卫生系统优越的欧美发达国家相比,发病率和死亡率较低。亚洲和非洲大多数国家都有全国性的卡介苗接种规划,而欧洲和美洲没有或已经停止了这一规划。目前,还没有已知的治疗COVID-19疾病的方法。目前尚无预防COVID- 19疾病的疫苗。由于数学模型是预测疾病传播率和评估可能的公共卫生预防措施效果的理想选择,我们创建了一个包含七个隔间的数学模型,以了解全国范围内关于COVID-19传播,严重程度和死亡率的卡介苗推荐。计算了无疫苗平衡点和非无疫苗平衡点两个基本繁殖数,并进行了局部稳定性、灵敏度和数值分析。我们的研究结果表明,接种卡介苗的个体感染COVID-19的风险较低,住院时间较短,康复率较高。此外,长期实行普遍接种卡介苗政策的国家降低了COVID-19的发病率、死亡率和严重程度。进一步的研究将侧重于探索疫苗接种对医护人员和患者的直接益处以及卡介苗再次接种的益处。
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Mathematical Analysis for Transmission of COVID-19
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