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

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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.