Ensheng (Frank) is a PhD student of the Department of Civil and Systems Engineering (CaSE), the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University, and the infectious disease dynamics (IDD) group at the JHU Bloomberg School of Public Health. He is interested in interdisciplinary research on network science, mobility modeling, machine learning, spatial analysis and visualization, and infectious disease. His recent work includes forecasting measles risk in the US and the Pacific Island Countries and Territories (PICTs), visualizing and modeling the novel coronavirus (COVID-19), and predicting dengue outbreaks in Sri Lanka.
Dong E, Ratcliff J, Goyea TD, Katz A, Lau R, Ng TK, Garcia B, Bolt E, Prata S, Zhang D, Murray RC, Blake MR, Du H, Ganjkhanloo F, Ahmadi F, Williams J, Choudhury S, Gardner LM. (2022). The Johns Hopkins University Center for Systems Science and Engineering COVID-19 Dashboard: data collection process, challenges faced, and lessons learned. The Lancet. Infectious diseases
Gardner L, Dong E, Khan K, Sarkar S. (2020). Persistence of US measles risk due to vaccine hesitancy and outbreaks abroad. The Lancet. Infectious diseases
Dong E, Du H, Gardner L. (2020). An interactive web-based dashboard to track COVID-19 in real time. The Lancet. Infectious diseases
Gardner L, Ratcliff J, Dong E, Katz A. (2020). A need for open public data standards and sharing in light of COVID-19. The Lancet. Infectious diseases
Badr HS, Du H, Marshall M, Dong E, Squire MM, Gardner LM. (2020). Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study. The Lancet. Infectious diseases