Mbogo, W. R and Nyabadza F. (2018). “On the future of HIV related cancers: Insights from a mathematical model”, BioMed Research International. Under review.
Mbogo, W. R and Nyabadza F. (2018). “HIV and Non-communicable diseases co-morbidity – a Cost-Effectiveness Analysis”, Journal of Biological Dynamics. Under review.
Mbogo, W. R., Luboobi, L. S., and Odhiambo, J. W. (2018). “A Stochastic Model for Malaria Transmission Dynamics”, Journal of Applied Mathematics. vol. 2018, Article ID 2439520, 13 pages, doi:10.1155/2018/2439520.
Ngina P. M, Mbogo, W. R and Luboobi L.S (2018). “Modelling Optimal control of in-host HIV Dynamics using different control strategies”, Computational and Mathematical Methods in Medicine
Volume 2018, Article ID 9385080, 18 pages. https://doi.org/10.1155/2018/9385080.
Ngina P. M, Mbogo, W. R and Luboobi L.S (2018). “HIV drug resistance: insights from mathematical modelling”, International Journal of Mathematics and Mathematical Sciences. Under review.
Ngina P. M, Mbogo, W. R and Luboobi L.S (2018). “Mathematical Modelling of In-Vivo Dynamics of HIV in respect of Kenya’s ”Anza Sasa” Campaign, Journal of Applied Mathematics, under review.
Ngina P. M, Mbogo, W. R and Luboobi L.S (2017). “The In-vivo dynamics of HIV-infection with the influence of cytotoxic T lymphocyte (CTL) cells”, International Scholarly Research Notices – Hindawi Publishing Corporation ,Volume 2017 (2017), Article ID 2124789, 10 pages, doi:10.1155/2017/2124789.
Ngina P. M, Mbogo, W. R and Luboobi L.S (2017). “Mathematical Modelling of In-Vivo Dynamics of HIV subject to the Influence of the CD8+T-Cells”. Science research publishing Applied Mathematics, vol 8, no. 8, 1153-1179.
E. O. Omondi, R. W. Mbogo & L. S. Luboobi (2018). Mathematical modelling of the impact of testing, treatment and control of HIV transmission in Kenya, Cogent Mathematics & Statistics (2018), 5: 1475590.
Omondi E.O, Mbogo, W. R and Luboobi L.S (2018). “Modelling the trend of HIV transmission and treatment in Kenya”, International Journal of Applied and Computational Mathematics, 4: 123. https://doi.org/10.1007/s40819-018-0558-y
E. O. Omondi, R. W. Mbogo & L. S. Luboobi (2018) Mathematical analysis of sex-structured population model of HIV infection in Kenya, Letters in Biomathematics, 5:1, 174-194, DOI: 10.1080/23737867.2018.1506712
Omondi E.O, Mbogo, W. R and Luboobi L.S (2018). “The epidemiological impact of media campaigns on the dynamics of HIV transmission model”, Royal Society Open Science journal, under review.
Titus Okello Orwa, Rachel Waema Mbogo, and Livingstone Serwadda Luboobi (2018). “Mathematical Model for Hepatocytic-Erythrocytic Dynamics of Malaria,” International Journal of Mathematics and Mathematical Sciences, vol. 2018, Article ID 7019868, 18 pages, 2018. https://doi.org/10.1155/2018/7019868.
Titus Okello Orwa, Rachel Waema Mbogo & Livingstone Serwadda Luboobi (2018) Mathematical model for the in-host malaria dynamics subject to malaria vaccines, Letters in Biomathematics, 5:1, 222-251, DOI: 10.1080/23737867.2018.1526132.
Mbogo, W. R (2014). Intra-Host stochastic Models for HIV Dynamics and Management. |PhD| Strathmore University, Kenya.
Mbogo, W. R., Chirove F., Wattanga, I.S.,Kipchumba B and Wangari I.M. (2016). Mathematical model for Langerhans cells and HIV-1 evolution. Applied Mathematics and computation, in press.
Mbogo, W. R., Luboobi, L. S., and Odhiambo, J. W. (2017). Semi-Markov model for HIV evolution and treatment. Journal of mathematical Biology, in press.
Mbogo R.W., Luboobi L.S and Odhiambo J.W (2014): Stochastic Model for Langerhans cells and HIV Dynamics in Vivo. Hindawi Publishing Corporation – ISRN Applied Mathematics, Volume 2014,(1), 1-10.
Mbogo R.W., Luboobi L.S and Odhiambo J.W (2013): Mathematical model for HIV and CD4+ T cells dynamics in vivo. International Electronic Journal of Pure and Applied Mathematics, Volume 6 No. 2, 83-103.
Mbogo R.W., Luboobi L.S and Odhiambo J.W (2013): Stochastic model for HIV dynamics with therapeutic intervention. Journal of Pure and Applied Mathematics (Hindawi Publishing Corporation),Volume 2013, Article ID 103708,11pages.
Kiura, S. M and Waema R. (2012), Managing Chronic Conditions through Hosted Medical Records in Kenya, International Society for Telemedicine & eHealth (ISfTeH), Volume 3 No. 2, 1-10.
Waema, R and Acosta F (2007) Queuing Theory: Performance modeling of Computer networks, Strathmore university (Nairobi, Kenya) (Accepted for publication – UB Research Journal Jan – Jun 2009 issue)
Waema, R. and Olowofeso, O E (2005): Mathematical Modelling of Immunodeficiency Virus (HIV) Transmission using Generating Function Approach. Kragujevae Journal of Science br. 27, str. 115-130, 2005.
“A stochastic model for malaria transmission dynamics” at the Southern Africa Mathematical Sciences Association (SAMSA) Conference, Arusha, Tanzania, 20th-23rd November 2017.
“Mathematical Modeling in Biosciences” at the Kenya Paediartric Association 17th Annual Scientific conference: Beyond child survival: Nutrition and child development, Kisumu – Acacia Premier Hotel, April 25 – 28, 2017.
“Hepatocytic -Erythrocytic dynamics of Malaria under therapy”, at The EAUMP Conference, October 26-28, 2016, Makerere University, Kampala, Uganda.
“Stochastic In – host disease Modeling”, at the International school on Mathematical Epidemiology (ISME), September 1-5, 2014, Strathmore University, Kenya.
“Mathematical Model for Langerhans cells and HIV evolution” at The 2nd Strathmore International Mathematics Conference, August 12th – 16th, 2013, Strathmore, Kenya.
“Stochastic model for In-Host HIV virus dynamics with Therapeutic intervention”, at The 2nd EAUMP Conference, 22nd – 25th August 2012, Arusha, Tanzania.
“Stochastic modelling of HIV dynamics within an individual and its management” at the International Mathematics Research Meeting” , July 23 -27, 2012, Strathmore University, Kenya.
“Managing Chronic Conditions through Hosted Medical Records in Kenya” International Society for Telemedicine & eHealth (ISfTeH), Proceedings of Med-e-Tel 2011.