Measles & Rubella Dynamics
Working towards control, elimination, and eradication of one the world's most infectious diseases.
The Measles & Rubella Dynamics project is a collection of work focused on improving and achieving measles and rubella control, elimination, and eradication. To achieve this, we are conducting studies and developing methods to better estimate true vaccination coverage and immunity, estimate risk of outbreaks, identify whether vaccination goals are being met, and inform vaccination strategies and policy.
We are engaged with the WHO Measles Special Advisory Group of Experts (SAGE) to define and respond to existing challenges in reaching the goals of the Measles & Rubella Initiative (http://measlesrubellainitiative.org/). Through this collaboration, and in collaboration with our partners at the University of Princeton, Pennsylvannia State University, and The U.S. Centers for Disease Control, we are working to understand and develop tools to combat the challenges to effective immunization and elimination of these diseases.
The Bill and Melinda Gates Foundation
World Health Organization
US Centers for Disease Control and Prevention
The Pennsylvania State University
Benefits and Challenges in Using Seroprevalence Data to Inform Models for Measles and Rubella Elimination.J Infect Dis, 2018: 218(3): 355-364, 10.1093/infdis/jiy137
Challenges and opportunities in disease forecasting in outbreak settings: a case study of measles in Lola Prefecture, Guinea.Am J Trop Med Hyg, 2018: 98(5): 1489 - 149, 10.4269/ajtmh.17-0218
Rubella vaccination in India: identifying broad consequences of vaccine introduction and key knowledge gaps.Epidemiol Infect, 2018: 126(1): 65-77, 10.1017/S0950268817002527
Demographics, epidemiology and the impact of vaccination campaigns in a measles-free world–Can elimination be maintained?Vaccine, 2017: 35(11): 1488-93, 10.1016/j.vaccine.2017.02.008
2017: 8: 15585, 10.1038/ncomms15585.
Impact on Epidemic Measles of Vaccination Campaigns Triggered by Disease Outbreaks or Serosurveys: A Modeling Study.PLoS Med, 2016: 13(10): e1002144: 10.1371/journal.pmed.1002144
Use of serological surveys to generate key insights into the changing global landscape of infectious disease.Lancet, 2016: 10.1016/S0140-6736(16)30164-7