Summary SARS-CoV-2 (COVID-19) is a new strain of coronavirus that is regarded as a respiratory disease and is transmittable among humans. At present, the disease has caused a pandemic, and COVID-19 cases are ballooning out of control. The impact of such turbulent situations can be controlled by tracking the patterns of infected and death cases through accurate prediction and by taking precautions accordingly. We collected worldwide COVID-19 case information and successfully predicted infected victims and possible death cases around the world and in the United States. In addition, we analyzed some leading stock market shares and successfully forecast their trends. We also scrutinized the share market price by proper reasoning and considered the state of affairs of COVID-19, including geographical dispersity. We publicly release our developed dashboard that presents statistical data of COVID-19 cases, shows predicted results, and reveals the impact of COVID-19 on leading companies and different countries’ job markets. Highlights • We developed a time-series model that can effectively predict COVID-19 cases • We reveal the impact of COVID-19 on the world’s economy and unemployment rate • We publicly release our developed COVID-19 dashboard The bigger picture SARS-CoV-2 (COVID-19) is a new strain of coronavirus that is regarded as a respiratory disease, and the number of COVID-19 cases is ballooning out of control. The impact of COVID-19 can be controlled by tracking the patterns of infected and death cases through accurate prediction. We developed a COVID-19 dashboard by collecting worldwide COVID-19 case information and successfully predicted COVID-19 infected victims and possible death cases. In addition, we analyzed some leading stock market shares and successfully forecast their trends using multiple linear regression. In addition, we scrutinized the share market price by proper reasoning and considered the state of affairs of COVID-19, including geographical dispersity. We publish a dashboard that demonstrates the effectiveness of our proposed learning model showing predicted results for future COVID-19 cases and reveals the impact of COVID-19 severity on leading companies and different countries’ job markets. We developed a model that can predict COVID-19 infected and death cases. Our developed model almost accurately predicts total COVID-19 cases worldwide (accuracy 99.3%), total COVID-19 cases in the United States (accuracy 99.1%), total death cases worldwide (accuracy 99.27%), and total death cases in the United States (accuracy 96.9%). In addition, we analyzed some leading stock market shares and successfully forecast their trends. We considered Dow Jones, S&P 500, and NASDAQ market prices and obtained an accuracy of 96.8%, 96.8%, and 93.5%, respectively.
【저자키워드】 COVID-19, coronavirus, machine learning, dataset, Stock market, economic impact, 【초록키워드】 SARS-CoV-2, pandemic, COVID-19 severity, Accuracy, humans, Respiratory disease, Effectiveness, death, information, Precaution, predict, COVID-19 cases, Multiple linear regression, death case, COVID-19 case, new strain, The United States, country, statistical, Jones, predicted, analyzed, collected, caused, the United State, addition, the disease, reveal, 【제목키워드】 COVID-19 pandemic, Infectious disease, case study, evaluate,