COVID-19 Spread prediction Based on Food Categories using Data Science

Abstract

Novel corona (COVID-19) disease is an infectious disease caused by a newly discovered coronavirus. Covid-19 was started from Wuhan China and present it is spread all over the world. Presently the USA is affected by the Covid-19 virus hardly. Present there are more than 4.0 million confirmed cases and more than 200 thousand happens because of the Covid-19 virus. [1]. However, there is no medicine found by the researchers yet for the virus. According to the WHO (World Health Organization), the COVID-19 virus is spreading by several methods. And for protection from the COVID-19 virus, their suggestion is community distance. Moreover, doctors and other medical instructors advise concentrating more on doing sanitizations often. Presently there are lots of researches doing for identifying reasons, make a medicine in this area. When it concentrates on the spread of the COVID-19 virus it cloud be able to identify that there is a difference between Asian and European countries. As an example from Asian countries, only China and Russia are affected by the COVID-19 virus majorly. However European countries like Italy, Spain has the highest death rates more than china. Mainly south Asian countries have a low confirm rate of the COVID-19 virus. [2] For this, the main reason what here in this research identified is the food used by each region. We know that people in European countries eat fast foods and they have used alcohol more than the people in Asian countries. [3] Therefore this research was done to identify a pattern between the spread of the COVID-19 virus and the Food categories used by the people. So here in this research using data science. Here it does some data modeling part to visualize a pattern between the spread of the COVID-19 virus and food categories. Thereafter using a machine learning model here it implement a prediction model. Through this research, it could be able to understand that there is a clear pattern between the spread of the virus and the food factors. Moreover, this research will be a novel approach to evaluate the spread of the COVID-19 based on food categories.