Big Data Analytics for Public Health

Huang X., Li Z., Jiang Y., Li X., Porter D., Twitter reveals human mobility dynamics during the COVID-19 pandemic, Plos One (in press)

Qiao S., Li Z., Weissman S., Li X., Olatosi B., Davis C., Mansaray A., (2020), Disparity in HIV service interruption in the outbreak of COVID-19: A mixed-method study in South CarolinaAIDS and Behavior,

Yang C., Sha D., Liu S., Li Y., Lan H., Guan W., Hu T., Li Z., Zhang Z., Thompson J., Wang Z., Wong D., Ruan  S., Yu M., Richardson D., et al., (2020) Taking the pulse of COVID-19: A spatiotemporal perspectiveInternational Journal of Digital Earth,

Articles in Review:

Huang X., Li Z., Lu J., Wang S., Wei H., Chen B., Time-series clustering for home dwell time during COVID-19: what can we learn from it?, ISPRS International Journal of Geo-Information

Huang X., Li Z., Jiang Y., Ye X., Deng C., Zhang J., Li X., The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic, International Journal of Digital Earth

Li Z., Qiao S., Jiang Y., Li X., Building a Social media-based HIV Risk Behavior Index to Inform the Prediction of HIV: A Feasibility Study, AIDS

Zeng C., Zhang J., Sun X., Li Z., etc., Contextual factors with County-Level retention in care status among people living with HIV in South Carolina from 2005 to 2016, AIDS

Li Z., Li X., Porter D., etc. A Big Data Approach to Monitoring the Spatial Propagation of COVID-19 and Quantifying the Effectiveness of the Control Measures: A Study Protocol, Journal of Medical Internet Research

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