Design and analysis of the epidemic novel corona virus

Abstract

We all know that corona virus first news is get flashed on 31st December 2019 from the Wuhan city of China and Province Hubei is mostly affected by this deadliest version of corona bomb hence it is called COVID -19 named by scientists because it’s completely novel by structure. It’s a respiratory diseases and very much similar to SARS (Severe Acute Respiratory Syndrome) but its molecule structure is not completely similar to SARS hence till now there is no medicine for this daemon CORONA. Currently we can clearly observe that almost all countries of world are suffering from this. At initial stage it is predicted that its animal kind of flu and hence there is no need to worry but as soon as time goes by its started transmitting from animal to men and then men to men and hence transmitted from city of Wuhan and reaches almost all corners of the world, hence it is very dangerous for our civilization and its increasing death rate and suspect cases reveals that it’s a big epidemic that we ever faced in last 100 years. So by observing the severity of this epidemic we need to inform right and exact guideline to every other people. Epidemic is a disease that spread very quickly and covers entire geographical area in no time that what the world are facing off. It can cause significant economic, social, and political disruption. Before this the mankind has experienced several epidemics like SARS, Dengue, Plague, and Spanish Flue which had already ruined the life of world completely in those days when Medical science was not at their pick. But, today when world civilization and modern medical science is at their pick a new RNA structured VIRUS has completely destroyed the world in many ways. So it’s very necessary to know the impact of it on originating venue so that we can analyze its danger and rate of spread ability. So to do this we have applied h Machine Learning algorithm and concepts for predicting death and other cases of Covid-19.