New Publication: Modeling the Impacts of Governmental and Human Responses on COVID-19 Spread

We are thrilled to announce that Binbin Lin and colleagues have published a new research article in the International Journal of Digital Earth (IJDE):

📄 "Modeling the Impacts of Governmental and Human Responses on COVID-19 Spread Using Statistical Machine Learning"

Authors: Binbin Lin, Yimin Dai, Lei Zou, and Ning Ning

This study employs statistical machine learning techniques to analyze how government interventions and public behavior influenced the spread of COVID-19. The findings provide valuable insights into the effectiveness of various policy measures in controlling pandemic outbreaks.

Co-authors Ning Ning and Yimin Dai are affiliated with the Department of Statistics at Texas A&M University, where Ning Ning serves as an Assistant Professor, and Yimin Dai is a Ph.D. student.

📄 Read the full paper: https://www.tandfonline.com/doi/full/10.1080/17538947.2024.2434651#d1e3655

🖼️ Below are key figures from the paper:

Figure 1. The conceptual framework describing the hypothesized effects of governmental and human responses on COVID-19 health impacts with a time lag effect.

Figure 3. National temporal trends of COVID-19 health impacts and human responses.

Figure 8. The spatial distribution of coefficients in three phases.