Hyman Meleik, Mark Calvin, Imteaj Ahmed, Ghiaie Hamed, Rezapour Shabnam, Sadri Arif M, Amini M Hadi
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.
Economics and Public Policy at ESCP Business School, 75011 Paris, France.
Patterns (N Y). 2021 Aug 13;2(8):100315. doi: 10.1016/j.patter.2021.100315. Epub 2021 Jul 27.
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.
严重急性呼吸综合征冠状病毒2（COVID-19）是一种新型冠状病毒毒株，被视为一种呼吸道疾病，可在人际间传播。目前，该疾病已引发全球大流行，COVID-19病例数正急剧增加且失控。通过准确预测追踪感染和死亡病例模式并据此采取预防措施，可控制这种动荡局势的影响。我们收集了全球COVID-19病例信息，并成功预测了全球及美国的感染受害者和可能的死亡病例。此外，我们分析了一些主要股票市场份额并成功预测了它们的趋势。我们还通过合理推理审视了股票市场价格，并考虑了COVID-19的情况，包括地理分布。我们公开发布了我们开发的仪表板，该仪表板呈现COVID-19病例的统计数据，展示预测结果，并揭示COVID-19对领先公司和不同国家就业市场的影响。
