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1.
BMC Res Notes ; 15(1): 332, 2022 Oct 22.
Article in English | MEDLINE | ID: mdl-36273195

ABSTRACT

OBJECTIVE: Liver cirrhosis, which is considered as the terminal stage of liver diseases, has become life-threatening among non-communicable diseases in the world. Viral hepatitis (hepatitis B and C) is the major risk factor for the development and progression of chronic liver cirrhosis. The asymptomatic stage of cirrhosis is considered as the compensated cirrhosis whereas the symptomatic stage is considered as decompensated cirrhosis. The latter stage is characterized by complex disorder affecting multiple systems of liver organ with frequent hospitalization. In this paper, we formulate system of fractional differential equations of chronic liver cirrhosis with frequent hospitalization to investigate the dynamics of the disease. The fundamental properties including the existence of positive solutions, positively invariant set, and biological feasibility are discussed. We used generalized mean value theorem to establish the existence of positive solutions. The Adams-type predictor-evaluate-corrector-evaluate approach is used to present the numerical scheme the fractional erder model. RESULTS: Using the numerical scheme, we simulate the solutions of the fractional order model. The numerical simulations are carried out using MATLAB software to illustrate the analytic findings. The analysis reveals that the number of decompensated cirrhosis individuals decreases when the progression rate and the disease's past states are considered.


Subject(s)
Hepatitis B , Liver Cirrhosis , Humans , Hospitalization , Risk Factors
2.
Comput Math Methods Med ; 2022: 3105734, 2022.
Article in English | MEDLINE | ID: mdl-35069778

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 ß 2 and the HIV/AIDS transmission rate ß 1 play an important role to change the qualitative dynamics of HIV/AIDS and pneumonia coinfection. The pneumonia infection transmission rate ß 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} = max{1.386, 9.69 } = 9.69 at ß 1 = 2 and ß 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.


Subject(s)
AIDS-Related Opportunistic Infections/epidemiology , Acquired Immunodeficiency Syndrome/epidemiology , HIV Infections/epidemiology , Pneumonia/epidemiology , AIDS-Related Opportunistic Infections/prevention & control , AIDS-Related Opportunistic Infections/transmission , Acquired Immunodeficiency Syndrome/complications , Acquired Immunodeficiency Syndrome/transmission , Basic Reproduction Number/statistics & numerical data , Coinfection , Computational Biology , Computer Simulation , Endemic Diseases/prevention & control , Endemic Diseases/statistics & numerical data , Epidemiological Models , HIV Infections/complications , HIV Infections/transmission , Humans , Models, Biological , Pneumonia/complications , Pneumonia/prevention & control , Vaccination
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