Lin, Binbin, Zou, Lei, Yang, Mingzheng, Zhou, Bing, Mandal, Debayan, Abedin, Joynal, Cai, Heng, and Ning, Ning. Progress in understanding human-COVID-19 dynamics using geospatial big data: a systematic review. Retrieved from https://par.nsf.gov/biblio/10621530. Annals of GIS 30.4 Web. doi:10.1080/19475683.2024.2418584.

Lin, Binbin, Zou, Lei, Yang, Mingzheng, Zhou, Bing, Mandal, Debayan, Abedin, Joynal, Cai, Heng, & Ning, Ning. Progress in understanding human-COVID-19 dynamics using geospatial big data: a systematic review. Annals of GIS, 30 (4). Retrieved from https://par.nsf.gov/biblio/10621530. https://doi.org/10.1080/19475683.2024.2418584

Lin, Binbin, Zou, Lei, Yang, Mingzheng, Zhou, Bing, Mandal, Debayan, Abedin, Joynal, Cai, Heng, and Ning, Ning. "Progress in understanding human-COVID-19 dynamics using geospatial big data: a systematic review". Annals of GIS 30 (4). Country unknown/Code not available: Taylor & Francis. https://doi.org/10.1080/19475683.2024.2418584. https://par.nsf.gov/biblio/10621530.

@article{osti_10621530,
place = {Country unknown/Code not available}, title = {Progress in understanding human-COVID-19 dynamics using geospatial big data: a systematic review}, url = {https://par.nsf.gov/biblio/10621530}, DOI = {10.1080/19475683.2024.2418584}, abstractNote = {}, journal = {Annals of GIS}, volume = {30}, number = {4}, publisher = {Taylor & Francis}, author = {Lin, Binbin and Zou, Lei and Yang, Mingzheng and Zhou, Bing and Mandal, Debayan and Abedin, Joynal and Cai, Heng and Ning, Ning}, }