The course is a collaboration between the University of Global Health Equity (UGHE) in Rwanda and Harvard University’s Center for Communicable Disease Dynamics to build the capacity to use mathematical modeling of infectious diseases to support decision-making in Africa. The training targets public health professionals with experience in infectious disease program implementation or research with a limited background in mathematical modeling.
The course is designed to last for 8-12 months alternating between in-person and practicum sessions with intensive mentorship and support from the training team. The in-person sessions will occur every 2-4 months beginning March 2023, with practicum running between these sessions. The course introduces participants to the basic concepts and use of mathematical models for understanding infectious diseases, their applications to real-world problems, and the role of models in informing policies. The course prioritizes the learn-by-doing approach; hence, participants can design their models using concepts taught in class and use these models to assess and evaluate public health interventions effectively. The course will also help participants critically review and interpret the findings of several other modeling studies in public health.
Dr. Bethany Hedt-Gauthier is a biostatistician and associate professor at the Department of Global Health and Social Medicine at Harvard Medical School, specializing in health systems and implementation science research in sub-Saharan Africa. She is committed to improving partnerships in global health research by innovating within her practice and leading research and advocacy on issues of power dynamics and inequitable research collaborations.
Dr. Caroline Buckee is the associate director and professor of the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health. Her research interests include using mathematical models and mobility data to understand the epidemiology of infectious diseases such as COVID-19, malaria, dengue, and cholera in low-income countries. She is involved in various partnerships with local and international public health organizations to provide evidence from mathematical modeling studies to inform policies and decision-making. She has also developed various training programs to integrate mathematical models into infectious disease programs.
Dr. Sylvia Ofori is a postdoctoral curriculum and research fellow at the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health. She has a background in community pharmacy, global health, digital health, and infectious disease modeling. She organizes a journal club for public health professionals in academia, government, and research institutions in the US and East Africa, to discuss trends in mathematical modeling studies. She has also worked with various research teams on projects to analyze COVID-19 data in Ghana, Canada, the USA, Iran, and China.
Emmanuelle is a postdoctoral researcher at the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health. She specializes in modeling infectious diseases such as hepatitis A and African swine fever transmission to inform disease control and prevention policies. Emmanuelle’s research focuses on outbreak contexts, and her experience cuts across human and animal diseases. In her career, she aims to champion science-policy engagement within the infectious-disease-research ecosystem toward improved public health outcomes.
Dr. Flavia Camponovo is a postdoctoral scientific collaborator at the SwissTPH. She previously worked as a postdoctoral researcher at the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health. Her work focuses on the population dynamics of malaria and uses mathematical modeling and statistical analysis to assess and understand human-targeted malaria interventions.