Optimal control strategies for HIV and COVID-19 co-infection: a cost-effectiveness analysis

被引:0
作者
Batu, Tesfaneh Debele [1 ]
Obsu, Legesse Lemecha [1 ]
机构
[1] Adama Sci & Technol Univ, Dept Appl Math, Adama, Ethiopia
关键词
optimal control; HIV; COVID-19; bifurcation; co-infection; cost-effectiveness analysis; stability analysis; mathematical model; MODELS;
D O I
10.3389/fams.2024.1439284
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In the face of ongoing challenges posed by the COVID-19 and the persistent threat of human immunodeficiency virus (HIV), the emergence of co-infections such as COVID-19 and HIV has heightened complexities in disease management. This study aims to identify effective control strategies to mitigate COVID-19 and HIV co-infection, which aggravates the existing challenges posed by these two diseases. To achieve this, we formulated a co-infection model that describes the transmission dynamics of COVID-19 and HIV. Under certain circumstances, we established that HIV infection may facilitate COVID-19 transmission, highlighting the need to identify and implement effective interventions to mitigate COVID-19 and HIV co-infection. As a result, we incorporated four time-dependent control strategies in the co-infection model: HIV prevention, HIV treatment, COVID-19 vaccination, and COVID-19 treatment. Numerical simulations were conducted to support and clarify the analytical results and to show how preventative efforts affect the co-infected population. Simulations confirm that applying any of the study's strategies will reduce the number of co-infection cases. However, the implementation of these strategies is constrained by limited resources. Therefore, a comprehensive cost-effectiveness analysis was conducted to identify the most economically viable strategy. The analysis concludes that implementing a combined approach of vaccination and treatment for COVID-19 emerges as the most cost-effective measure for preventing the spread of COVID-19 and HIV. These findings provide crucial guidance for decision-makers in adopting precise preventive strategies, ultimately aiming to reduce mortality rates among HIV patients.
引用
收藏
页数:17
相关论文
共 43 条
[1]  
[Anonymous], 2021, Clinical Features and Prognostic Factors of COVID-19 in People Living with HIV Hospitalized with Suspected or Confirmed SARS-CoV-2 Infection
[2]  
Ashby B, 2021, CURR BIOL, V31, pR174, DOI 10.1016/j.cub.2021.01.006
[3]   Mathematical modeling of HIV/AIDS with optimal control: A case study in Ethiopia [J].
Ayele, Tigabu Kasia ;
Goufo, Emile Franc Doungmo ;
Mugisha, Stella .
RESULTS IN PHYSICS, 2021, 26
[4]   Co-infection dynamics of COVID-19 and HIV/AIDS [J].
Batu, Tesfaneh Debele ;
Obsu, Legesse Lemecha ;
Deressa, Chernet Tuge .
SCIENTIFIC REPORTS, 2023, 13 (01)
[5]   Clinical features of, and risk factors for, severe or fatal COVID-19 among people living with HIV admitted to hospital: analysis of data from the WHO Global Clinical Platform of COVID-19 [J].
Bertagnolio, Silvia ;
Thwin, Soe Soe ;
Silva, Ronaldo ;
Nagarajan, Sairaman ;
Jassat, Waasila ;
Fowler, Robert ;
Haniffa, Rashan ;
Reveiz, Ludovic ;
Ford, Nathan ;
Doherty, Meg ;
Diaz, Janet .
LANCET HIV, 2022, 9 (07) :E486-E495
[6]  
bit.ly, 2021, Episode 48: HIV and COVID-19
[7]  
Castillo, 2002, Mathematical approaches for emerging and re-emerging infection diseases: an introduction, V125, P31
[8]   Dynamical models of tuberculosis and their applications [J].
Castillo-Chavez, C ;
Song, BJ .
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2004, 1 (02) :361-404
[9]  
Chukwu CW, 2020, Commun Math Biol Neurosci, V2020, P83
[10]   Outcomes of patients with HIV and COVID-19 co-infection: a systematic review and meta-analysis [J].
Danwang, Celestin ;
Noubiap, Jean Jacques ;
Robert, Annie ;
Yombi, Jean Cyr .
AIDS RESEARCH AND THERAPY, 2022, 19 (01)