How statistics of World Health Index react against COVID-19

Tomer, Vikas; Gupta, Sonali; Manwal, Manika; Singh, D.P.

The counter of COVID-19 seems nerve-wracking right now and the cumulative cases are increasing with an unstoppable speed each second. This outbreak situation brings an anxious time for researchers and scientists, as the pressure is keep mounting on them each second to find any optimal solution of this situation. This work dissect one important section which affected most by this novel corona virus, i.e. world health index. In simple terms, how COVID-19 attack on WHI's top vs mediocre nations. This paper outlines how the countries which has lowest ranking in World Health Index, either escape or least affected from the disease initially compare to the countries which top the WHI affect most and after a period how higher ranking countries in WHI overcome significantly and quickly than lower ranks countries. This work consolidates the data majorly from COVID-19 worldometer and WHI data as a primary source. Moreover, conduct a statistical data analysis to determine the key factors behind larger affected COVID-19 nations and factors which helps those nations who overcome from COVID-19 comparatively. Finally, this work provides prediction for undiscover areas, so that the comparatively saved nations from COVID-19 can work on those vital considerations and avoid severe attack of COVID-19.