International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2020, Vol. 5, Issue 3, Part A

Statistical view of coronavirus (COVID-19) in Bangladesh


Author(s): M Shohel Rana

Abstract: This paper observes the statistical estimation of coronavirus and its awareness in Bangladesh. Since coronavirus disease (COVID-2019) is burning question in the world and more than 20 Lac peoples are affected by this virus. There is no medicine and vaccination to prevent against this virus. So I am trying to show the present and future view of such virus in contest of Bangladesh. I have considered daily data (8 March to 15 April, 2020) of total number of cases and total number of death. It has been found total number of cases and total number of death increase and cumulative total number of cases and total number of death radically changed over the period. I have used non linear trend of exponential growth model to estimate the cumulative total cases and total death and predict the future estimation of affected people in Bangladesh. Also found there is positive correlation between number of cases and number of death and they are statistically significant and finally used exponential smoothing approach. It will be reach cumulative total of cases 12828477 and cumulative total of death 174903 respectively after two months. So it’s important alarming to prevent COVID-19 for the Bangladesh in next two months.

Pages: 01-05 | Views: 57 | Downloads: 33

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How to cite this article:
M Shohel Rana. Statistical view of coronavirus (COVID-19) in Bangladesh. International Journal of Statistics and Applied Mathematics. 2020; 5(3): 01-05.
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