Study accurately tracks COVID-19 spread with big data

4 years ago
Anonymous $9CO2RSACsf

https://www.sciencedaily.com/releases/2020/04/200429133940.htm

Dr. Jayson Jia, Associate Professor of Marketing at the Faculty of Business and Economics of HKU and lead author of the study, and his co-authors used nation-wide data provided by a major national carrier in China to track population movement out of Wuhan between 1 January and 24 January 2020, a period covering the annual Chunyun mass migration before the Chinese Lunar New Year to a lockdown of the city to contain the virus. The movement of over 11 million people travelling through Wuhan to 296 prefectures in 31 provinces and regions in China were tracked.

Differing from usual epidemiological models that rely on historical data or assumptions, the team used real-time data about actual movements focusing on aggregate population flow rather than individual tracking. The data include any mobile phone user who had spent at least 2 hours in Wuhan during the study period. Locations were detected once users had their phones on. As only aggregate data was used and no individual data was used, there was no threat to consumer privacy.