Departmental Affiliations
Center & Institute Affiliations
Qingfeng Li, PhD ’13, MHS, studies machine learning models to support the use of big data and improve road safety in low- and middle-income countries.
Contact Info
Research Interests
AI in Health; Injuries; Maternal and child health; Program monitoring and evaluation; Systems science modeling;
Additional Links
Experiences & Accomplishments
Dr. Li's research interests include injury prevention, program evaluation, and maternal and child health. Methodologically, he is developing artificial intelligence and machine learning models to support the use of big data (e.g., government statistics, electronic health records, surveys and censuses) in health systems research.
He is currently conducting research in Bangladesh, China, Vietnam, and the United States.
He teaches Health Systems Research and Evaluation in Developing Countries, and Systems Science in Public Health: Basic Modeling and Simulation Methods.
Honors & Awards
• Excellence in Teaching, course entitled ‘Evaluation of Safety Interventions’, JHSPH 2017.
• Extraordinary Leadership in Bloomberg Philanthropies Global Road Safety Programme, National Project Office, Beijing, China 2014
• School-wide Endowed Student Support Fund, JHSPH 2012
• School-wide Endowed Student Support Fund, JHSPH 2011
• Young J. Kim Scholarship, Department of Population, Family and Reproductive Health, JHSPH 2012;
• Young J. Kim Scholarship, Department of Population, Family and Reproductive Health, JHSPH 2010;
• Kocherlakota Award, Department of Biostatistics, JHSPH 2010;
Select Publications
Below is a selected list of my recent peer-reviewed publications. Please visit my Google Scholar page for a full list. If you need help with accessing an article, please send me an email.
Li Q, Peng J, Mohan D, Lake B, Ruiz A, Weir B, Kan L, Yang C, Labrique A. Using Location Intelligence to Evaluate the COVID-19 Vaccination Campaign in the United States: A spatiotemporal big data analysis. JMIR Public Health and Surveillance. 2022;
Li Q}, Huang YJ. Optimizing global COVID-19 vaccine allocation An agent-based computational model of 148 countries. PLoS Computational Biology. 2022; 18(9): e1010463.
Chen T, Bachani AM, Li Q. Child restraint use in motor vehicles in Shanghai, China: a multiround cross-sectional observational study. BMJ Open. 2021 Nov 29;11(11):e050896.
Li Q, Peng J, Chen T, Yu Y, Hyder AA. Seatbelt wearing rate in a Chinese city: Results from multi-round cross-sectional studies. Accident Analysis and Prevention. 2018; 121:279-284
Li Q, Louis TA, Liu L, Wang C, Tsui AO. Subnational estimation of modern contraceptive prevalence in five sub-Saharan African countries: a Bayesian hierarchical approach. BMC Public Health. 2019; 19(1):216