Paper Info
Title
HIV/AIDS-Pneumonia Codynamics Model Analysis with Vaccination and Treatment
Abstract
In this paper, we proposed and analyzed a realistic compartmental mathematical model on the spread and control of HIV/AIDS-pneumonia coepidemic incorporating pneumonia vaccination and treatment for both infections at each infection stage in a population. The model exhibits six equilibriums: HIV/AIDS only disease-free, pneumonia only disease-free, HIV/AIDS-pneumonia coepidemic disease-free, HIV/AIDS only endemic, pneumonia only endemic, and HIV/AIDS-pneumonia coepidemic endemic equilibriums. The HIV/AIDS only submodel has a globally asymptotically stable disease-free equilibrium if R-1 < 1. Using center manifold theory, we have verified that both the pneumonia only submodel and the HIV/AIDS-pneumonia coepidemic model undergo backward bifurcations whenever R-2 < 1 and R-3=max{R-1,R-2}< 1, respectively. Thus, for pneumonia infection and HIV/AIDS-pneumonia coinfection, the requirement of the basic reproduction numbers to be less than one, even though necessary, may not be sufficient to completely eliminate the disease. Our sensitivity analysis results demonstrate that the pneumonia disease transmission rate beta(2) and the HIV/AIDS transmission rate beta(1) play an important role to change the qualitative dynamics of HIV/AIDS and pneumonia coinfection. The pneumonia infection transmission rate beta(2) gives rises to the possibility of backward bifurcation for HIV/AIDS and pneumonia coinfection if R-3=max{R-1,R-2}< 1, and hence, the existence of multiple endemic equilibria some of which are stable and others are unstable. Using standard data from different literatures, our results show that the complete HIV/AIDS and pneumonia coinfection model reproduction number is R-3=max{R-1,R-2}& nbsp;=max {1.386,9.69{ =9.69 at beta(1)=2 and beta(2)=0.2 which shows that the disease spreads throughout the community. Finally, our numerical simulations show that pneumonia vaccination and treatment against disease have the effect of decreasing pneumonia and coepidemic disease expansion and reducing the progression rate of HIV infection to the AIDS stage.
Year
DOI
Venue
2022
10.1155/2022/3105734
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
DocType
Volume
ISSN
Journal
2022
1748-670X
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Shewafera Wondimagegnhu Teklu100.34
Koya Purnachandra Rao200.34