Introduction: An epidemic of Coronavirus Disease 2019 (COVID-19) began in December 2019 in China leading to a Public
Health Emergency of International Concern (PHEIC). Clinical, laboratory, and imaging features have been partially characterized in
some observational studies. No systematic reviews on COVID-19 have been published to date.
Materials and Methods: We performed a statistical analysis and review of literature to assess clinical, laboratory, imaging
features, and outcomes of COVID-19 confirmed cases.Observational studies and also case reports, also discussed published on
reputed journals. We perform the statistical modelling to predict its affects in certain countries. Using pictorial and mathematical
presentation, we predict the future cases.
Results: As on 27th March, 2020 as per data available on Johns Hopkins University, World Health Organization etc. , total
number of confirmed cases 528171, total deaths is 24599 and the recovered cases 126192. It is observed that the highest number
of cases have been noted in USA 85762 which constitutes 15.51% of the total cases in the world followed by China 81340 which
constitutes 14.71% of the total cases confirmed in the world. Further, travel restrictions on the country which has become main
hub for the COVID-19 showed less number of confirmed cases. Qatar has recorded 562 confirmed cases, 0 death and 43 recovered.
Conclusion: we present an effort to compile and analyze epidemiological outbreak information on COVID-19 based on the
several open datasets on Novel Corona Virus 2019 provided by the Johns Hopkins University, World Health Organization, Chinese
Center for Disease Control and Prevention, National Health Commission, and DXY. Using different statistical tools, we tried to
identify the way through which its affect can be minimized to a large extend..
Keywords: Coronavirus Disease; sars-cov-2;covid-19; statistical modelling; data analysis