Jinjing Wu is an Assistant Professor in the Research Pillar on Human Capital and Development of the Asian Demographic Research Institute at Shanghai University. She received her Ph.D. from the Institute of Population Research at Peking University in 2017. She worked as a research assistant at the Global Research Analytics of Population Research (GRAPH), Mailman School of Public Health, Columbia University during 2015-2016. Her research interests include social environment and health, gender and health, and cost-effectiveness analyses of health policies and health-related interventions.
▶Download CV ✉ jinjingwu1105@gmail.com
Selected Publications
Wu, J., Chen, J., Li, Z., Jiao, B., & Muennig, P. (2020). Spatiotemporal Variation of the Association between Urbanicity and Incident Hypertension among Chinese Adults. International journal of environmental research and public health, 17(1), 304; https://doi.org/10.3390/ijerph17010304
Wu, J., Muennig, P. A., Keyes, K., & Wu, J. (2019). Generational differences in longitudinal blood pressure trajectories by geographic region during socioeconomic transitions in China. International journal of public health, 64(9), 1375-1387; https://doi.org/10.1007/s00038-019-01276-3
Wu, J., Deaton, S., Jiao, B., Rosen, Z., & Muennig, P. A. (2018). The cost-effectiveness analysis of the new rural cooperative medical scheme in China. PloS one, 13(12), e0208297; https://doi.org/10.1371/journal.pone.0208297
Wu, J., Dean, K. S., Rosen, Z., & Muennig, P. A. (2017). The cost-effectiveness analysis of nurse-family partnership in the United States. Journal of health care for the poor and underserved, 28(4), 1578-1597; https://DOI: 10.1353/hpu.2017.0134
Muennig, P. A., Mohit, B., Wu, J., Jia, H., & Rosen, Z. (2016). Cost effectiveness of the earned income tax credit as a health policy investment. American Journal of Preventive Medicine, 51(6), 874-881; https://doi.org/10.1016/j.amepre.2016.07.001
Teaching Courses
📖Population, Health, and Health Policy
The purpose of this course is to allow students to engage in population health thinking. This course has epidemiology as its core and is integrated with theories of relevant social sciences. Students will learn about different epidemiological study designs, including ecological, cross-sectional and cohort studies. Students will also learn how to use epidemiological tools to measure population health and quantify the magnitude of an association between exposure and disease. Brief reviews of relevant statistical methods and their applications in epidemiologic research and interpretation of results will be covered. This course also allows students to have a reservoir of theoretical frameworks (e.g., socio-ecological, life course, network perspectives) from which to draw when formulating research questions. This course also addresses the dynamic processes of fertility, mortality and migration and examines how the interaction of these processes is related to population health.
Content:
1. Introduction
2. Measuring health and diseases in populations
3. Determinants of population health: a socio-ecological perspective
4. Determinants of population health: a social network perspective
5. Determinants of population health: a life course perspective
6. Students’ research proposal presentations
7. Socioeconomic inequalities in health
8. Gender and health
9. Health demography
10. Health insurance