ABSTRACT
Recently a Novel Corona Virus has been emerged at Wuhan named as COVID-19 or SARS-CoV-2. The aim of this paper is to present a literature review of various articles which is contributing in study, prevention and control of SARS-CoV-2. We also graphically present global impact of this virus based on different criteria like;age-wise and sex-wise mortality rate, weekly and cumulative increment of infectious people, mortality rate in people suffering from pre-existing disease such as diabetes, chronic respiratory problem, cancer etc. We also discussed the observations of this impact which has been concluded from statics, collected from various resources.
ABSTRACT
A novel coronavirus (SARS-CoV-2) is an unusual viral pneumonia in patients, first found in late December 2019, latter it declared a pandemic by World Health Organizations because of its fatal effects on public health. In this present, cases of COVID-19 pandemic are exponentially increasing day by day in the whole world. Here, we are detecting the COVID-19 cases, i.e., confirmed, death, and cured cases in India only. We are performing this analysis based on the cases occurring in different states of India in chronological dates. Our dataset contains multiple classes so we are performing multi-class classification. On this dataset, first, we performed data cleansing and feature selection, then performed forecasting of all classes using random forest, linear model, support vector machine, decision tree, and neural network, where random forest model outperformed the others, therefore, the random forest is used for prediction and analysis of all the results. The K-fold cross-validation is performed to measure the consistency of the model. © 2018 Tsinghua University Press.