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Revista de SIDA e investigación clínica

A Mathematical Model of HIV and Malaria Co-Infection in Sub-Saharan Africa

Abstract

Kamal Barley, David Murillo, Svetlana Roudenko, Ana M. Tameru and SharquettaTatum

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 in those who tested positive for HIV than those without HIV infection. Since the co-infections were recorded, malaria has seen a 28 percent increase in its incidence. These results raise the possibility that biological differences could alter the effect of co-infection and underscore the importance of identifying these factors for the implementation of control interventions focused on co-infection. Malaria associated death rates have nearly doubled for those with co-infections. The biological integrations between the malaria parasite and HIV are not fully understood, but it is conceivable that the parasite or viral load can increase by an order of magnitude due to coinfection. HIV-infected persons are at increased risk for clinical malaria; the risk is greatest when immune suppression is advanced. Malaria is associated with increases in HIV viral load that, while modest, may impact HIV progression or the risk of HIV transmission. We also showed that in the Full Model, total cause of deaths are from co-infection when the amplification factor , i ρ , i =1, 2, 3, 4, is larger than 25. We introduce a system of differential equations linking the host-vector system of malaria with co-infection with HIV. Data were collected from Sub-Saharan Africa for the global parameter estimates and we simulated for sensitivity analysis using data collected from Malawi. Finally, these simulations show that the HIV-induced increase in susceptibility to malaria infection has marginal effect on the new cases of HIV and malaria but increases the number of new cases of the dual HIV-malaria infection.

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