Departmental 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
615 N. Wolfe Street, Room E-8136
Baltimore
Maryland
21205
US
Research Interests
Injuries;
Big data
Program monitoring and evaluation;
Deep learning and machine learning in public health;
Systems science;
Agent-based modeling;
Complex survey design;
Maternal and child health;
Demographic dividend;
Additional Links
Experiences & Accomplishments
Education
PhD
Johns Hopkins Bloomberg School of Public Health
2013
MHS
Johns Hopkins Bloomberg School of Public Health
2013
MA
Peking University
2009
Overview
Dr. Li's research interests include injury prevention, program evaluation, and maternal and child health. Methodologically, he is developing machine learning models to support the use of big data (e.g., government statistics, electronic health records, surveys and censuses) in public health.
He is currently conducting research in Bangladesh, China, Vietnam, and the United States.
He teaches Evaluation of Safety Interventions (primary instructor), Systems Science Modeling (primary instructor), and Graduate Seminar in Injury Research and Policy (co-instructor).
He is currently conducting research in Bangladesh, China, Vietnam, and the United States.
He teaches Evaluation of Safety Interventions (primary instructor), Systems Science Modeling (primary instructor), and Graduate Seminar in Injury Research and Policy (co-instructor).
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;
• 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
Projects
Saving of Lives from Drowning