A mathematical model of HIV and Malaria Co-Infection in Sub-Saharan Africa
Malaria and HIV are two of the most deadly diseases in Africa. Combined they account for 4 million deaths each year, and according to the Center for Disease Control and Prevention (CDC), there is an estimated 5 percent increase in malaria deaths due to HIV infection in Sub-Saharan Africa. Since the co-infections was recorded, malaria has seen a 28 percent increase in its prevalence. Malaria associated death rates have nearly doubled for those with co-infections. We introduce a system of differential equations linking the host-vector system of malaria with co-infection with HIV. We use data from Sub-Saharan Africa in general and Malawi in particular where co-infections from both disease in order to motivate and guide the behavior of our model. We discovered that when parameter ρ is alter it will effect the way the diseases interact with each other as well as separately.
Kamal Barley, Arizona State University
Sharquetta Tatum, Alabama A & M University
David Murillo, Arizona State University
Svetlana Roudenko, Arizona State University
Ana M. Tameru, Alabama State University