Game-theoretic approach of modelling and estimating the impact of human migration behaviour on malaria endemicity in Sub-Saharan Africa

Keywords

Migration, malaria, sub-Saharan Africa, modelling

Countries

India, Burkina Faso

Summary

The overarching goal of the project is to develop data-driven mathematical models and frameworks that account for ecological, epidemiological, and demographic principals related to human migration behaviour and spatiotemporal spread of malaria parasites, using mathematical (especially, game theory), statistical, and computational methods. The project aims to delineate the interaction of population dynamics with spatial and demographic structure and apply the models to real disease data (e.g., malaria in sub-Saharan Africa (SSA)).

Methodology

We will establish mathematical models and estimate key determinants and parameters that account for human behaviour in migration and malaria endemicity, using disease (malaria) and demographic and socioeconomic database from countries in SSA.

Main Cooperation Partners

• Dr. Ali Sié and Dr. Pascal Zabre, Centre de Recherche en Santé de Nouna (CRSN), Nouna, Burkina Faso
• Prof. Samit Bhattacharyya, Shiv Nadar Institution of Eminence (SNIoE), Dehli, India

Main Funding Partners

German Academic Exchange Service (DAAD)

Duration of the Project

2 years (01 Sep 2022 – 31 Aug 2024)

Team

• Prof. Dr. Ina Danquah
• Dr. Pascal Zabre