NSF Funded Project: Geospatial Modeling of COVID-19 Spread and Risk Communication by Integrating Human Mobility and Social Media Big Data

Tracking Mobility Changes Interactive Web Portal:

Multiscale Dynamic Human Mobility O-D Flow Dataset in the US

Intra-County COVID-19 Infection Modeling (PNAS)

State-Specific COVID-19 Infection Projections in the US (Sci. Rep.)

Inter-Country COVID-19 Infection and Importation Modeling (PNAS)

  • Gao, S., Rao, J., Kang, Y., Liang, Y., Kruse, J, Dopfer, D., Sethi, A., Reyes, F., Yandell, B., & Patz J. (2020). Association of Mobile Phone Location Data Indications of Travel and Stay-at-Home Mandates With COVID-19 Infection Rates in the US. JAMA Network Open. 2020;3(9):e2020485. doi:10.1001/jamanetworkopen.2020.20485
  • Gao, S., Rao, J., Kang, Y., Liang, Y., & Kruse, J. (2020). Mapping county-level mobility pattern changes in the United States in response to COVID-19. SIGSPATIAL Special. 12(1), 16-26. DOI: 10.1145/3404820.3404824
  • Kang, Y., Gao, S., Liang, Y., Li, M., Rao, J., & Kruse, J. (2020). Multiscale Dynamic Human Mobility Flow Dataset in the US during the COVID-19 Epidemic. Scientific Data, 7(390), 1-13,
  • Chen, S., Li, Q., Gao, S., Kang, Y.,& Shi, X.(2020). State-specific Projection of COVID-19 Infection in the United States and Evaluation of Three Major Control Measures. Scientific Reports,10(22429), 1-9,
  • Huang, X., Lu, J., Gao, S., Wang, S., Liu, Z., & Wei, H. (2021). Staying at home is a privilege: evidence from fine-grained mobile phone location data in the U.S. during the COVID-19 pandemic. Annals of the American Association of Geographers. 1-18, DOI:10.1080/24694452.2021.1904819.
  • Hou, X., Gao, S., Li, Q., Kang, Y., Chen, N., Chen, K., Rao, J., Ellenberg, J., & Patz, J. A. (2021). Intra-county modeling of COVID-19 infection with human mobility: assessing spatial heterogeneity with business traffic, age and race. Proceedings of the National Academy of Sciences(PNAS), June 15, 2021, 118 (24), e2020524118
  • Han, X., Xu, Y., Fan, L., Huang, Y., Xu, M., & Gao, S. (2021). Quantifying COVID-19 importation risk in a dynamic network of domestic cities and international countries. Proceedings of the National Academy of Sciences(PNAS), June 15, 2021, 118 (31), e2100201118
  • Li, K., Foutz, N. Z., Cai, Y., Liang, Y., & Gao, S. (2021). Impacts of COVID-19 lockdowns and stimulus payments on low-income population’s spending in the United States. PLOS ONE, September 8, 2021, 16(9): e0256407.
  • Liang, D., Shi, L., Zhao, J., Liu, P., Sarnat, J. A., Gao, S., Schwartz, J., Liu, Y., Ebelt, S., Scovronick, N., & Chang, H. H. (2021). Urban air pollution may enhance COVID-19 case-fatality and mortality rates in the United States. The Innovation , 1(3), 100047, Cell Press.
  • Liang, Y., McNair, K. W., Gao, S., & Göçmen, A. (2021). Exploring Store Visit Changes During the COVID-19 Pandemic Using Mobile Phone Location Data. In Shih-Lung Shaw and Daniel Sui (Eds): Mapping COVID-19 in Space and Time: Understanding the Spatial and Temporal Dynamics of a Global Pandemic (Chapter 13) , pp. 253-275, Springer.

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