The MOMA (Mathematical Modelling) project aims to sustain and enhance training in mathematical/computer modelling in infectious-disease epidemiology for the sub-region of West Africa.
The recent COVID-19 pandemic has underscored the vital importance of Mathematical Modelling in Epidemiology in the event of a health crisis. In general, this discipline describes the variations of one or several structuring variables in one or more populations. For example, it can be used to predict the dissemination of a pathogen (virus, bacteria, parasite), taking into account certain parameters (social structure, age of the hosts, age of their infections, immunological status, temperature, etc.). Burkina Faso, and the African continent as a whole, must contend with numerous pathogens that cause infectious diseases (COVID-19, dengue fever, malaria, meningitis, tuberculosis, etc.).
The science of population dynamics is situated at the interface between several disciplines including mathematics, statistics, computer science, biology, epidemiology, virology and social sciences. It is a wonderful combination of biology and mathematics. The study of a population’s dynamics is based on a more or less complex system or model . These systems are usually described by Differential Equations. The study of these systems is, among other things, based on the fundamentals of Dynamical Systems and Adaptive Dynamics.
PSF MOMA fits into this context, and comes in response to several demands from institutions. It will provide access to training for approximately fifty students, PhD students, young researchers and doctors from health and research institutes and universities in Africa.
- Train participants–Master’s students, PhD students and researchers–in the basic concepts of Dynamical Systems and Adaptive Dynamics.
- Apply these fundamentals in the study of the epidemic and changing dynamics of infectious diseases (e.g., COVID-19, dengue fever, malaria, meningitis, tuberculosis, etc.).
Project leaders :
- IRD (Dr Djidjou-Demasse Ramsès, UMR MIVEGEC)
- ISRA (Dr Sangaré Ibrahim, CEA ITECH- MTV, Université Nazi Boni)