Departmental Affiliations
Li Liu, MB, PhD ’08, MHS ’06, applies interdisciplinary quantitative strategies to estimate and measure all-cause and cause specific child mortality and strengthen CRVS systems.
Contact Info
Research Interests
child causes of deaths; child mortality; causes of child mortality; cause-specific mortality rates; under-five mortality; neonatal mortality; infant mortality, adolescent causes of deaths, adolescent mortality, causes of adolescent mortality, stillbirths, misclassification, verbal autopsy; vital registration; sample registration system; civil registration and vital statistics; preterm birth; pneumonia; diarrhea; reproductive health; maternal health; neonatal health; child health; burden of diseases; COVID-19
Experiences & Accomplishments
Dr. Liu is a population health researcher interested to study and address leading causes of child mortality. She has multidisciplinary background in medicine, reproductive/maternal/child health, epidemiology, biostatistics, and demography. Currently, her research applies interdisciplinary quantitative strategies to 1) measure and estimate all-cause and cause-specific child mortality, 2) strengthen civil registration and vital statistics (CRVS) systems to improve child mortality, and 3) investigate biosocial etiologies of leading causes of child mortality. As the COVID-19 pandemic is raging on, Dr. Liu has also become interested to study mortality associated with COVID-19 among vulnerable populations. Dr. Liu practices to disseminate evidence to reduce child mortality due to leading causes, and advocates to improve child survival. She also teaches introductory and advanced quantitative population health and demographic methods. Dr. Liu currently serves as the Lead of Population and Health Area of Interest in her department and the Associate Director of university wide Hopkins Population Center.
Dr. Liu has been investigating methodological and substantive issues to improve the estimation and estimates of all-cause and cause-specific child mortality, particularly in settings with inadequate CRVS, and has been generating high impact scientific evidence in this area. She has also been working on strengthening CRVS in low- and middle-income countries. Dr. Liu has recently started some new research causes of adolescent mortality and mortality associated with COVID-19. She continues to investigate misclassification between neonatal deaths and stillbirths. She has also been studying the complex and joint effects of biosocial etiologies of leading causes of child mortality.
Dr. Liu has published 52 peer-reviewed articles and 65 publications. Among them, Dr. Liu first-authored 21 and served as the corresponding/senior author of 15. Many of her publications appeared in leading journals, such as The Lancet. According to Google Scholar, Dr. Liu’s publications have collectively received nearly 18,000 citations to date, with an H-index of 30 and an i10-index of 46. Her research and opinions have been reported by major media outlets, such as New York Times, BBC News and the Time magazine. Dr. Liu is a regular consultant to international agencies and foundations, e.g. UNICEF, WHO, the World Bank, and BMGF. Her research has been and continues to be supported by multiple funders including BMGF, Daniel L. Klein Foundation, Global Affairs Canada, Johns Hopkins University, National Institute of Health, and WHO.
Honors & Awards
2017 – 2018 JHBSPH Faculty Innovation Fund/Edward and Margaret Brewster Memorial Fund
2006 – 2007 Fellowship in Family Planning and Reproductive Health, JHBSPH
2004 – 2006 PFRH Tuition and Stipend Fellowship, JHBSPH
2002 – 2004 Josephine Kohn and Family Fund Award, PFRH, JHBSPH
2000 Outstanding Undergraduate, Bureau of Education, Beijing
1997 – 1998 Golden Prize, Medical Education Scholarship of the United Laboratories, PUHSC
1996 – 1999 Outstanding Academic Performance, PUHSC
Select Publications
Selected peer-reviewed publications from 58 papers published to date. Those include 47 peer-reviewed papers, 4 invited articles or editorials, and 7 chapters/monographs/books. Dr. Liu has first-authored 20 of the publications. Twenty of Dr. Liu's publications appeared in The Lancet or its affiliated journals. According to Google Scholar, by April 18, 2020, Dr. Liu's publications have received 15,288 citations with an h-index of 27 and an i10-index of 42. For a full list of her publications, please see Dr. Liu's Google Scholar page: https://scholar.google.com/citations?user=rAGt1VsAAAAJ&hl=en. * contributed equally; ‡ I am the corresponding/senior author
Li Liu,*‡ Yue Chu,* Shefali Oza, Dan Hogan, Jamie Perin, Diego G Bassani, Usha Ram, Shaza A. Fadel, Arvind Pandey, Neeraj Dhingra, Damodar Sahu, Pradeep Kumar, Richard Cibulskis, Brian Wahl, Anita Shet, Colin Mathers, Joy Lawn, Prabhat Jha, Rakesh Kumar, Robert E. Black, and Simon Cousens. 2019. “National, regional and state all-cause and cause-specific under-five mortality in India in 2000-2015: a systematic analysis with implications for the Sustainable Development Goals” Lancet Global Health. Published online on 5/13
Stephane Helleringer,* Li Liu,* Yue Chu, Ane Fisker, Amabelia Rodrigues. 2020. “Biases in Survey Estimates of Neonatal Mortality: Results from a Validation Study in Urban Areas of Guinea-Bissau” Demography. Accepted. Also available at: https://osf.io/preprints/socarxiv/qx2kn/.
Li Liu,‡ Shefali Oza, Dan Hogan, Yue Chu, Jamie Perin, Jun Zhu, Joy Lawn, Simon Cousens, Colin Mathers, Robert E. Black. 2016. “Global, regional, and national causes of under-5 mortality in 2000–15: an updated systematic analysis with implications for the Sustainable Development Goals” Lancet 388(10063): 3027-35
Li Liu,‡ Henry D. Kalter, Yue Chu, Narjis Kazmi, Alain K. Koffi, Agbessi Amouzou, Olga Joos, Melinda Munos, Robert E. Black. 2016. “Understanding misclassification between neonatal deaths and stillbirths: empirical evidence from Malawi”. PLoS One. Published on 12/28
Li Liu,*‡ Mengying Li,* Stirling Cummings, Robert E. Black. 2015. “Deriving causes of child mortality by re-analyzing national verbal autopsy data applying a standardized computer algorithm in Uganda, Rwanda and Ghana”. Journal of Global Health, Jun;5(1):010414. doi: 10.7189/jogh.05.010414