Dr. Ethel T. Ngarakana-Gwasira

Qualifications:

Dhil Mathematical Biology, University of Zimbabwe, 2016; MSc Mathematics, University of Zimbabwe, 2006; BSc Applied Mathematics, NUST, 2004

Academic Appointments:

Senior Lecturer

Research Interests:

My research interests are in development, analysis (both numerical and analytic methods) and applications of mathematical models to facilitate understanding of the dynamics of infectious disease transmission, outbreaks of epidemics, and evaluation of the likely impact of intervention strategies and overall control programs. The outcomes from these analyses are used to help guide and inform public health policy and improve health outcomes in different settings.

Faculty: Science

Department: Mathematics and Computational Sciences

Research Category: Mathematics & Statistics

Biography:

Dr. Ethel T. Ngarakana-Gwasira is a Doctoral of Philosophy holder in Mathematics. Her doctoral research was on modeling the impact of climate variability and change on human health. Dr Ngarakana-Gwasira has skills and expertise in the field of infectious disease epidemiology and her research interest is mathematical modeling. She is currently a senior lecturer in the Department of Mathematics and Computational Sciences.

Email: ngarakanae@maths.uz.ac.zw

Phone: +263242303211

Publications:

1. Mushayabasa S, Ngarakana-Gwasira ET, Mushanyu J, On the role of governmental action and individual reaction on COVID-19 dynamics in South Africa: A mathematical modelling study, Informatics in Medicine Unlocked (2020), doi: https://doi.org/10.1016/j.imu.2020.100387.
2. Nicholas Kwasi-Do Ohene Opoku, Farai Nyabadza, Ethel Ngarakana-Gwasira (2019). Modelling cervical cancer due to human papillomavirus infection in the presence of vaccination. Open Journal of Mathematical Sciences. Vol. 3 (2019), Issue 1, pp. 216 – 233 DOI: 10.30538/oms2019.0065.
3. J. Mushanyu, F. Nyabadza, P. Mafuta, E. T. Ngarakana-Gwasira (2018). Modelling Gender Differences in Drug Abuse Epidemics. Int. J.Appl. Comput. Math (2018) 4:47 https://doi.org/10.1007/s40819-017-0477-3
4. Ngarakana-Gwasira ET, Bhunu CP, Masocha M, Mashonjowa E, (2016). Impact of climate change on malaria transmission in Africa. Malaria Research and Treatment. Article ID 7104291
5. Ngarakana-Gwasira ET, Bhunu CP, Masocha M, Mashonjowa E. (2016). Transmission dynamics of schistosomiasis in Zimbabwe: A mathematical and GIS Approach. Communication in Nonlinear Science and Numerical Simulation, 35:137-147,
6. E. T. Ngarakana-Gwasira • C. P. Bhunu • E. Mashonjowa. (2014). Assessing the impact of temperature on malaria transmission dynamics. Afrika Matematika , Vol 25, Issue 4, pp 1095-1112
7. S Mushayabasa, C.P.Bhunu, E Ngarakana-Gwasira. (2013). Mathematical analysis of a typhoid model with carriers and indirect disease transmission, International Journal of Mathematical Sciences and Engineering Applications, Vol 7(1):79-90,
8. S Mushayabasa, C.P.Bhunu, E Ngarakana-Gwasira. (2013) Assessing the impact of drug resistance on the transmission dynamics of typhoid fever, Computational Biology Journal, Vol 2013: 303645, 1-13,
9. S Mushayabasa, C.P.Bhunu, J. M. Tchuenche , E Ngarakana-Gwasira. (2011). Modelling Gonorrhea and HIV coinfection. BioSystems 103 (2011): 27–37,
10. Ngarakana-Gwasira E, Bhunu C. P, Mushayabasa S, Musekwa-Hove S.D, Garira W, Tchuenche JM. Exploring the effects of parameter heterogeneity on the intrinsic dynamics in heterosexual settings, International Journal of Biomathematics, 4(1): 75-92, (2011).
11. Bhunu CP, Mushayabasa S, Garira W, Ngarakana-Gwasira E, Tchuenche J. M. Is the world doing enough for the poor? A case of HIV/AIDS counseling and testing in poor communities, World Journal of Modelling & Simulation, Vol. 6(3): 163-179, (2010).