Exploration of COVID-19 Pandemic Using Variety of Frequency Tables

International Journal of Mathematical Modelling & Computations

مقاله 3، دوره 12، 2 (SPRING) - شماره پیاپی 46، شهریور 2022، صفحه 101-114   

نوع مقاله: Full Length Article

شناسه دیجیتال (DOI): 10.30495/ijm2c.2022.1932912.1215

نویسندگان

Mohammed Bappah Mohammed^{* 1}؛ Mohd Bakri Adam²؛ Hassan Ahmed³؛ H. D. ‎Salihu⁴

¹Department of Mathematics and Statistics, Federal University of Kashere,P.M.B 0182, Gombe State, Nigeria

²Institute for Mathematical Research, Universiti Putra Malaysia.

³Department of Statistics and Operations Research, Modibbo Adama University of Technology, Yola, Adamawa State, Nigeria.

⁴Department of Mathematics and Statistics‎, ‎Federal University of Kashere,P.M.B 0182‎, ‎Gombe State‎, ‎Nigeria

چکیده

The coronavirus disease was first discovered in Malaysia on the 25th of January, 2020. The number of positive cases remained stable until March 2020, where a large spike emerged. Different exploratory data analysis tools need to be used to easily observe the trend of coronavirus infections and ascertain the end of the pandemic. Also, the growth rate of the pandemic seems to be under-reported in many countries due to some issues. In this research, we explored the reported COVID-19 data using different discrete frequency tables. The positive cases, deaths, and recoveries were organized in general cases, cumulative cases and 14 days moving cases frequency tables. The reported positive cases were displayed according to the states as states' new cases, cumulative cases, and 14 days moving cases frequency tables. The end of the pandemic can be detected when there is no infection for 14 consecutive days and was determined in the country as a whole using the cumulative cases and the 14 days moving cases general frequency tables. Whereas in the states, the states' cumulative cases and the 14 days moving cases frequency tables were used to detect the end of COVID-19 pandemic.

کلیدواژه‌ها

Coronavirus؛ Pandemic؛ Positive cases؛ Death cases؛ Recoveries؛ Exploratory data analysis؛ Discrete frequency table