论文标题
机器学习应用
Machine Learning Application in Health
论文作者
论文摘要
冠状病毒可以通过与感染者的近距离通过空中传播。商用飞机是将病毒传播在乘客中并在位置之间移动病毒的可能方法。了解冠状病毒进入美国的何处以及如何进入美国的重要性将有助于进一步了解我们对疾病的理解。航空旅行者可能来自感染率高的国家或地区，很可能有暴露于病毒的风险。因此，当它们到达美国时，病毒很容易传播。在我们的分析中，我们利用机器学习来确定进入华盛顿特区都会区的航班数量是否对城市及周边地区报告的案件和死亡人数产生影响。
Coronavirus can be transmitted through the air by close proximity to infected persons. Commercial aircraft are a likely way to both transmit the virus among passengers and move the virus between locations. The importance of learning about where and how coronavirus has entered the United States will help further our understanding of the disease. Air travelers can come from countries or areas with a high rate of infection and may very well be at risk of being exposed to the virus. Therefore, as they reach the United States, the virus could easily spread. On our analysis, we utilized machine learning to determine if the number of flights into the Washington DC Metro Area had an effect on the number of cases and deaths reported in the city and surrounding area.
