Co-evolution of epidemics, interventions, and behavior in network epidemiology

2021财年，该计划的目标取得了许多进展。PI发表了关于情绪，行为和疾病传播的共同进化的著作，使用社交媒体数据和对中国人在Covid-19第一年的流动性的开创性研究。PI的另一项工作涉及如何更有效地表示网络流行病学的接触数据。Co-I增田对疾病传播和如何分析流行病数据的几项理论研究做出了贡献。Co-I Ibuka发表了几篇关于日本新冠肺炎及其社会影响的文章，其中包括一篇关于奥运会期间运动模式的开创性文章。后一篇论文是由共同作者浅井，谁也共同撰写了大量关于新冠肺炎在日本的报告。Co-I Beauchemin发表了关于宿主内病毒动力学的工作。Co-I Takayasu发表了关于传播动态的理论著作和关于意见动态的数据科学论文。

FY2021 saw many advancements toward the objectives of the program. The PI published works about the co-evolution of sentiments, behavior, and disease spreading using social media data and a seminal study of Chinese mobility in the first year of Covid-19. Another work by the PI concerned how to represent contact data more efficiently for network epidemiology. Co-I Masuda contributed to several theoretical studies of disease spreading and how to analyze epidemic data. Co-I Ibuka had several publications about Covid-19 in Japan, and its social implications, including a seminal article about movement patterns during the Olympic games. The latter paper was co-authored by co-I Asai, who also co-authored a great number of reports about Covid-19 in Japan. Co-I Beauchemin published work on in-host viral dynamics. Co-I Takayasu published theoretical works on spreading dynamics and data science papers about opinion dynamics.