A mathematical model studying the interplay between malaria dynamics and economic growth

Malaria imposes significant challenges on human health, healthcare systems, and economic growth/productivity in many countries. In this talk, we will propose a model to understand the interplay between malaria dynamics, economic growth, and transient events. The model exhibits a backward bifurcation. Additionally, there is a parameter regime for which long transients are feasible. The model reveals a reciprocal relationship between malaria and economic factors, where malaria diminishes economic productivity, while higher economic output is associated with reduced malaria prevalence. The study offers insights into malaria control and underscores the significance of optimizing external aid allocation, especially favoring an even distribution strategy, with the most significant reduction observed in an equal monthly distribution strategy compared to longer distribution intervals. Policy recommendations for effective malaria control from the study include prioritizing sustained control measures, optimizing external aid allocation, and reducing mosquito biting.

Bio
https://cset.mnsu.edu/departments/mathematics-and-statistics/faculty-and-staff/ruijun-zhao/