印度COVID-19病例未来前景的统计分析

I. Sadiq, S. Sharma, Rabilu Ado
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引用次数: 1

摘要

在本研究中,我们对印度周边地区的Covid-19确诊阳性病例进行了回归分析。我们采用5%的显著性水平得到了一个理想的数学模型来得出COVID-19阳性病例的结论。我们使用相关的统计软件RStudio和Gretl找到拟合模型的残差图,实际确诊病例、活动病例、恢复病例、实际拟合死亡病例的预测。这种精确的统计计算可能有助于预测上述所有变量的实际数据,以便医生和政府给予适当的治疗。
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Statistical Analysis of Future Prospective in COVID-19 Cases in India
In this study, we have done regression analysis to get confirmed positive cases of Covid-19 in the peripheral of Indian. We have applied 5% level of significance to get an ideal mathematical model to reach on conclusion about positive cases of COVID-19. We have used two relevant statistical software RStudio and Gretl to find residual plot of the fitted modeled, Actual confirmed cases, Active cases, Recovered cases, Forecasting about Actual fitted deceased cases. This statistical precise calculation may be useful to predict actual data of all above mentioned variables so that doctors and government give them proper treatment.
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