Giri Rajat, Kumar Ashish, Saini Monika, Sharma Rakesh Kumar
Department of Biosciences Manipal University Jaipur Jaipur India.
Department of Mathematics and Statistics Manipal University Jaipur Jaipur India.
J Public Aff. 2021 Nov;21(4):e2651. doi: 10.1002/pa.2651. Epub 2021 Feb 22.
The coronavirus disease (COVID-19) has been identified as a pandemic and affected almost whole world. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of this disease, is infecting Indian population since the last week of January 2020. The data were collected from January 30, 2020, to May 23, 2020, to analyze basic trend of COVID-19 cases in India targeting hotspot regions. To find the linear relationship between variables, that is, age, total positive cases, population, and population density data have been statistically analyzed. COVID-19 caused more than 5000 deaths till May 2020 in India. SARS-CoV-2 spread to several Indian cities with more than 100,000 positive cases. Total number of COVID-19 cases and total recovered cases followed the exponential distribution, while number of deaths showed linear behavior. Nearly 50% of the youth, that is, 20-40 years of age had been found to recover from the infection. As a lockdown cannot be a permanent solution, it is important to understand the nature of virus and learn "living with the virus" while minimizing its spreading at the same time.
冠状病毒病(COVID-19)已被确定为大流行病,几乎影响了整个世界。严重急性呼吸综合征冠状病毒2(SARS-CoV-2)是该疾病的病原体,自2020年1月最后一周以来一直在感染印度人群。收集了2020年1月30日至2020年5月23日的数据,以分析印度热点地区COVID-19病例的基本趋势。为了找出变量之间的线性关系,即对年龄、总阳性病例数、人口和人口密度数据进行了统计分析。截至2020年5月,COVID-19在印度导致了5000多人死亡。SARS-CoV-2传播到了印度的几个城市,阳性病例超过10万例。COVID-19病例总数和总康复病例数呈指数分布,而死亡人数呈线性变化。已发现近50%的年轻人,即20至40岁的人从感染中康复。由于封锁不可能是一个永久的解决方案,重要的是了解病毒的特性,并学会“与病毒共存”,同时尽量减少其传播。