Identification of factors effecting Covid-19

ABSTRACT

COVID-19 has effected 223 countries globally with approximately 223,491,168 confirmed cases (by 9th September 2021) and these alarming numbers bring chaos among the people. These figures are calculated over a period of 21 months, emerging since December, 2019 to September, 2021. No other virus in the history has reached such high numbers which makes this Covid-19 pandemic a novel in nature. Therefore, significant measures need to be taken, in terms of medical assistance as well restrictions need to be imposed for socializing which would help in minimizing the number of people being effected by covid-19. The focus of this study is to identify the trend of patients being diagnosed over a specific period of time such as Weekdays or Weekends. Further, the patterns have been identified country wise and the co-relation has been highlighted among the countries and observed cases. Later, the data has been fed to clustering algorithm i.e. K-Means in order to group the similar characteristics of Covid-19 factors. This study would help the officials to take appropriate measurements in order to control the pandemic situation.