Abstract
SummarySARS-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
COVID-19 has become a widely growing pandemic that is threatening the health of the earth’s global population, and its emergence is having a severe impact on the global economy
Data included the total number of cases in over 100 countries, including the epicenter, mainland China, and countries with the most COVID-19 cases (e.g., United States, India, Brazil)
We predicted that the United States and Italy would have a maximum average ll Conclusion In this paper, we proposed a COVID-19 prediction model that presents the impact of infectious disease and its shock waves on economy
Summary
COVID-19 has become a widely growing pandemic that is threatening the health of the earth’s global population, and its emergence is having a severe impact on the global economy. It is vital for policy makers to make full economic analyses such that the consequences can be understood ahead of time, as reopening too soon could create a second spike in COVID-19 cases and has the possibility of making the situation worse than the current spike. In this regard, policy makers need comprehensive analyses to predict risk. To make decisions regarding the reopening of different sectors, we need an early forecast of the probable time when the COVID-19 severity is going to be reduced, and the economy will rebuild. Proper mitigation steps can be implemented such that trade-offs between public health and the economy can be quantitatively considered
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