Academician Chen Xiaohong's Team Publishes Important Research Results in International High-level Academic Journal
2021-09-08
Recently, the research team led by Chen Xiaohong, HUTB Party Secretary and CAE Academician, and Lyu Xin, Professor of National University of Defense Technology, used big data technology to mine the characteristics of population movements in the context of the COVID-19 pandemic, which revealed that China's COVID-19 prevention policy works effectively. Relevant results were published in National Science Review, an international high-level comprehensive science review journal, specially reported and reproduced by Science and Technology Daily, China Youth Daily, People's Daily Overseas Edition and other media, which has arouse wide public concern.
The research results are of great scientific significance for accurate and intelligent epidemic prevention and control by fully grasping the travel patterns and habits of population. This study used anonymous mobile signaling data to accurately characterize the temporal and spatial characteristics of national population mobility at early 2020, and studied the evolution of travel patterns in different regions of China from normal times to the Spring Festival, then to travel control during the epidemic period and to the full resumption of work and production. It's found that commuting patterns in China have changed dramatically at different stages, and the massive increase of inter-city migration during the Spring Festival has been rapidly and effectively controlled with the implementation of COVID-19 prevention and control measures. It's confirmed that in the early stage of the outbreak, China's travel control measures are the most effective non-drug intervention means and play a crucial role in epidemic prevention and control. Research shows that based on real-time and accurate population flow information, existing epidemic prevention and control policies can be evaluated and adjusted in a timely manner, providing decision-making support for accurate analysis of and targeted measures against the epidemic and reducing the impact on people's lives and social economy.
The research team also revealed that China's urban agglomerations with highly correlated population and economy, such as the Beijing-Tianjin-Hebei region, Yangtze River Delta and the Greater Bay Area, have strong regional agglomeration effects, forming a distribution pattern with central cities as the core that radiate to the surrounding areas. These findings provide the most comprehensive picture of population mobility in China under a variety of circumstances, and are crucial for future decisions on emergency response to COVID-19, transportation planning, and regional economic development.
Related link: http://stdaily.com/index/kejixinwen/2021-08/24/content_1215031.shtml
