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Mathematical analysis of a model for HIVmalaria coinfection
1.  Department of Applied Mathematics, National University of Science and Technology, Box AC 939 Ascot, Bulawayo, Zimbabwe 
2.  Department of Mathematics, University of Manitoba, Winnipeg, Manitoba, R3T 2N2, Canada 
3.  Department of Mathematics and Applied Mathematics, University of Venda, Private Bag X5050, Thohoyandou 0950, South Africa 
4.  Mathematics Department, University of Dar es Salaam, P.O.Box 35062, Dar es Salaam, Tanzania 
[1] 
A. M. Elaiw, N. H. AlShamrani. Global stability of HIV/HTLV coinfection model with CTLmediated immunity. Discrete & Continuous Dynamical Systems  B, 2021 doi: 10.3934/dcdsb.2021108 
[2] 
Georgi Kapitanov. A double agestructured model of the coinfection of tuberculosis and HIV. Mathematical Biosciences & Engineering, 2015, 12 (1) : 2340. doi: 10.3934/mbe.2015.12.23 
[3] 
Kazeem Oare Okosun, Robert Smith?. Optimal control analysis of malariaschistosomiasis coinfection dynamics. Mathematical Biosciences & Engineering, 2017, 14 (2) : 377405. doi: 10.3934/mbe.2017024 
[4] 
ZhongKai Guo, HaiFeng Huo, Hong Xiang. Analysis of an agestructured model for HIVTB coinfection. Discrete & Continuous Dynamical Systems  B, 2022, 27 (1) : 199228. doi: 10.3934/dcdsb.2021037 
[5] 
Salihu Sabiu Musa, Nafiu Hussaini, Shi Zhao, He Daihai. Dynamical analysis of chikungunya and dengue coinfection model. Discrete & Continuous Dynamical Systems  B, 2020, 25 (5) : 19071933. doi: 10.3934/dcdsb.2020009 
[6] 
Nicolas Bacaër, Xamxinur Abdurahman, Jianli Ye, Pierre Auger. On the basic reproduction number $R_0$ in sexual activity models for HIV/AIDS epidemics: Example from Yunnan, China. Mathematical Biosciences & Engineering, 2007, 4 (4) : 595607. doi: 10.3934/mbe.2007.4.595 
[7] 
Yijun Lou, Li Liu, Daozhou Gao. Modeling coinfection of Ixodes tickborne pathogens. Mathematical Biosciences & Engineering, 2017, 14 (5&6) : 13011316. doi: 10.3934/mbe.2017067 
[8] 
Hui Cao, Yicang Zhou. The basic reproduction number of discrete SIR and SEIS models with periodic parameters. Discrete & Continuous Dynamical Systems  B, 2013, 18 (1) : 3756. doi: 10.3934/dcdsb.2013.18.37 
[9] 
Hui Miao, Zhidong Teng, Chengjun Kang. Stability and Hopf bifurcation of an HIV infection model with saturation incidence and two delays. Discrete & Continuous Dynamical Systems  B, 2017, 22 (6) : 23652387. doi: 10.3934/dcdsb.2017121 
[10] 
Nitu Kumari, Sumit Kumar, Sandeep Sharma, Fateh Singh, Rana Parshad. Basic reproduction number estimation and forecasting of COVID19: A case study of India, Brazil and Peru. Communications on Pure & Applied Analysis, , () : . doi: 10.3934/cpaa.2021170 
[11] 
Yu Ji. Global stability of a multiple delayed viral infection model with general incidence rate and an application to HIV infection. Mathematical Biosciences & Engineering, 2015, 12 (3) : 525536. doi: 10.3934/mbe.2015.12.525 
[12] 
Gerardo Chowell, R. Fuentes, A. Olea, X. Aguilera, H. Nesse, J. M. Hyman. The basic reproduction number $R_0$ and effectiveness of reactive interventions during dengue epidemics: The 2002 dengue outbreak in Easter Island, Chile. Mathematical Biosciences & Engineering, 2013, 10 (5&6) : 14551474. doi: 10.3934/mbe.2013.10.1455 
[13] 
Tianhui Yang, Ammar Qarariyah, Qigui Yang. The effect of spatial variables on the basic reproduction ratio for a reactiondiffusion epidemic model. Discrete & Continuous Dynamical Systems  B, 2021 doi: 10.3934/dcdsb.2021170 
[14] 
Jinliang Wang, Lijuan Guan. Global stability for a HIV1 infection model with cellmediated immune response and intracellular delay. Discrete & Continuous Dynamical Systems  B, 2012, 17 (1) : 297302. doi: 10.3934/dcdsb.2012.17.297 
[15] 
A. M. Elaiw, N. H. AlShamrani, A. AbdelAty, H. Dutta. Stability analysis of a general HIV dynamics model with multistages of infected cells and two routes of infection. Discrete & Continuous Dynamical Systems  S, 2021, 14 (10) : 35413556. doi: 10.3934/dcdss.2020441 
[16] 
Jinliang Wang, Jingmei Pang, Toshikazu Kuniya. A note on global stability for malaria infections model with latencies. Mathematical Biosciences & Engineering, 2014, 11 (4) : 9951001. doi: 10.3934/mbe.2014.11.995 
[17] 
Jinliang Wang, Xiu Dong. Analysis of an HIV infection model incorporating latency age and infection age. Mathematical Biosciences & Engineering, 2018, 15 (3) : 569594. doi: 10.3934/mbe.2018026 
[18] 
Expeditho Mtisi, Herieth Rwezaura, Jean Michel Tchuenche. A mathematical analysis of malaria and tuberculosis codynamics. Discrete & Continuous Dynamical Systems  B, 2009, 12 (4) : 827864. doi: 10.3934/dcdsb.2009.12.827 
[19] 
Stephen Pankavich, Deborah Shutt. An inhost model of HIV incorporating latent infection and viral mutation. Conference Publications, 2015, 2015 (special) : 913922. doi: 10.3934/proc.2015.0913 
[20] 
Songbai Guo, Wanbiao Ma. Global behavior of delay differential equations model of HIV infection with apoptosis. Discrete & Continuous Dynamical Systems  B, 2016, 21 (1) : 103119. doi: 10.3934/dcdsb.2016.21.103 
2018 Impact Factor: 1.313
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