Lin, Binbin, Dai, Yimin, Zou, Lei, and Ning, Ning. Modeling the impacts of governmental and human responses on COVID-19 spread using statistical machine learning. Retrieved from https://par.nsf.gov/biblio/10621518. International Journal of Digital Earth 17.1 Web. doi:10.1080/17538947.2024.2434651.

Lin, Binbin, Dai, Yimin, Zou, Lei, & Ning, Ning. Modeling the impacts of governmental and human responses on COVID-19 spread using statistical machine learning. International Journal of Digital Earth, 17 (1). Retrieved from https://par.nsf.gov/biblio/10621518. https://doi.org/10.1080/17538947.2024.2434651

Lin, Binbin, Dai, Yimin, Zou, Lei, and Ning, Ning. "Modeling the impacts of governmental and human responses on COVID-19 spread using statistical machine learning". International Journal of Digital Earth 17 (1). Country unknown/Code not available: Taylor & Francis. https://doi.org/10.1080/17538947.2024.2434651. https://par.nsf.gov/biblio/10621518.

@article{osti_10621518,
place = {Country unknown/Code not available}, title = {Modeling the impacts of governmental and human responses on COVID-19 spread using statistical machine learning}, url = {https://par.nsf.gov/biblio/10621518}, DOI = {10.1080/17538947.2024.2434651}, abstractNote = {}, journal = {International Journal of Digital Earth}, volume = {17}, number = {1}, publisher = {Taylor & Francis}, author = {Lin, Binbin and Dai, Yimin and Zou, Lei and Ning, Ning}, }