Data analytics to evaluate the impact of infectious disease on economy: Case study of COVID-19 pandemic

Meleik Hyman; Calvin Mark; Ahmed Imteaj; Hamed Ghiaie; Shabnam Rezapour; Arif M Sadri; M Hadi Amini

doi:10.1016/j.patter.2021.100315

Data analytics to evaluate the impact of infectious disease on economy: Case study of COVID-19 pandemic

Patterns (N Y). 2021 Aug 13;2(8):100315. doi: 10.1016/j.patter.2021.100315. Epub 2021 Jul 27.

Authors

Meleik Hyman¹, Calvin Mark¹, Ahmed Imteaj¹, Hamed Ghiaie², Shabnam Rezapour³, Arif M Sadri⁴, M Hadi Amini¹

Affiliations

¹ Sustainability, Optimization, and Learning for InterDependent Networks Laboratory (solid lab), Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA.
² Economics and Public Policy at ESCP Business School, 75011 Paris, France.
³ Enterprise and Logistics Engineering, Florida International University, Miami, FL 33174, USA.
⁴ Moss School of Construction, Infrastructure & Sustainability, Florida International University, Miami, FL 33174, USA.

Abstract

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.

Keywords: COVID-19; coronavirus; dataset; economic impact; machine learning; stock market.