COVID-19 Potential To Infect 4.44% Indian Population

Jayendrakumar Patel, Shalin Parikh, Rakesh Patel, S. Patel, Ronak Patel, P. Patel, Ankita Patel
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引用次数: 2

Abstract

Background: Quantitative characterisation of any contagious diseases could help in making effective strategy to prevent further spreading of the disease. Despite the rapid research in prevention of spreading COVID-19, yet there is no quantitatively information about spatiotemporal epidemiology and epidemic intensity of COVID-19. Therefore, we aimed to quantitatively characterize spatiotemporal epidemiology and epidemic intensity of COVID-19 in Indian geography by determine it’s infectability rate, efficacy rate, transmission rate and likelihood of total populations to be infected with COVID-19 in India.Method: Novel statistical model was designed to quantitatively characterize spatiotemporal epidemiology and epidemic intensity of COVID-19. A Retrospective Cohort study was carried out online and offline in Indian geography using a COVID-19 transmission questionnaires sheet that comprises five mandatory questions. The collected offline as well as online data was then entered into a Microsoft excel sheet to obtain primary data and secondary data required for the mathematical model to calculate quantitative data of spatiotemporal epidemiology and epidemic intensity of COVID-19 in India geography.Result and Discussion: Total 539 responses were analysed in the current study out of 557 received responses between April-2021 to May-2021. Average reproductive number of secondary cases was found 0.77. Infectability rate of COIVD-19 patient was found 38.11% while healthy person has 21.08% risk of becoming infected if they expose to the Primary case. J-Index and H-Index were found 55.32% and 4.44%, respectively, indicating that COVID-19 disease outbreaks as severe epidemic disease in India and has potential to infect ~4.44% Indian population.Conclusion: Higher infectability rate (38.11%) of COIVD-19 patient and higher efficacy rate (21.08%) of healthy individual to be infected with COVID-19 outbreak it a severe epidemic in India. COVID-19 potential to infect about 4.44% Indian population, at present, COVID-19 already infected ~2.13% Indian population, which is about 50% of the anticipated population to be infected i.e., 4.44%.
COVID-19可能感染4.44%的印度人口
背景:任何传染病的定量特征都有助于制定有效的战略,防止疾病的进一步传播。尽管对新冠肺炎传播预防的研究进展迅速,但目前还没有关于新冠肺炎时空流行病学和流行强度的定量信息。因此,我们旨在通过确定印度COVID-19的感染率、有效率、传播率和总人群感染可能性,定量表征印度地理上COVID-19的时空流行病学和流行强度。方法:设计新型统计模型,定量表征新冠肺炎时空流行病学和流行强度。使用包含五个强制性问题的COVID-19传播问卷表,在印度地理线上和线下进行了一项回顾性队列研究。然后将收集到的离线和在线数据输入到Microsoft excel表格中,获得数学模型计算印度地理区域COVID-19时空流行病学和流行强度定量数据所需的主要数据和次要数据。结果和讨论:在2021年4月至2021年5月期间收到的557份回复中,目前的研究共分析了539份回复。继发性病例的平均繁殖数为0.77。患者的感染率为38.11%,而健康人接触原发病例的感染风险为21.08%。j指数和h指数分别为55.32%和4.44%,表明COVID-19疫情是印度的严重流行病,有可能感染~4.44%的印度人口。结论:在印度疫情严重的情况下,COVID-19患者的感染率(38.11%)较高,健康个体感染的有效率(21.08%)较高。COVID-19可能感染约4.44%的印度人口,目前,COVID-19已经感染了约2.13%的印度人口,约为预计感染人口的50%,即4.44%。
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