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Prof. Dr. Zindoga Mukandavire

Director of Research, Institute of Applied Research and Technology

Telephone: +971 4 6050189

Email: zindoga.mukandavire@emirates.com

Dr Zindoga Mukandavire is a Professor and Director of Research at Emirates Aviation University. His responsibilities include supporting development of research and scholarly activities, partnerships, and collaborations. His scientific interests are in designing and using mathematical models to understand and solve problems in aviation industry, biology, and public health with an emphasis on collaborative and interdisciplinary research.

  1. PhD in Applied Mathematics, National University of Science and Technology, Zimbabwe, 2007
  2. BSc (Hons) in Applied Mathematics, National University of Science and Technology, Zimbabwe, 2003
  • Mathematics
  • Statistics
  • Applied Mathematics
  • Disease Modelling
  • Data Science
  1. Sahadevan, D.; Al Ali, H.; Notman, D.; Mukandavire, Z. Optimising Airport Ground Resource Allocation for Multiple Aircraft Using Machine Learning-Based Arrival Time Prediction. Aerospace 2023, 10, 509. Link
  2. Sahadevan D, Al Ali H, and Mukandavire Z, Airports Ground Operation Resource Optimisation Based on Arrival Time Prediction using Machine Learning, In: Proceedings of the 4th International Aviation Management Conference (Eds. H. Al Ali and Z. Mukandavire), IAMC-2022, Emirates Aviation University, Dubai, UAE, 21 – 22 November 2022, pp. 261-271, 2022.
  3. Simon S. BT, Al Ali H, Majid AA, Alhammadi OA, Aljassmy AM, Mukandavire Z. Analysis of Flight Delay Data Using Different Machine Learning Algorithms. In 2022 New Trends in Civil Aviation (NTCA) October 26, 57-62, 2022.
  4. Al Ali H., Daneshkhah A., Boutayeb A., Mukandavire Z. Examining Type 1 Diabetes Mathematical Models Using Experimental Data. International Journal of Environmental Research and Public Health. 2022; 19(2):737.
  5. Murewanhema G., Mukwenha S., Dzinamarira T., Mukandavire Z., Cuadros D., Madziva R., Chingombe I., Mapingure M., Herrera H., Musuka G. Optimising COVID-19 Vaccination Policy to Mitigate SARS-CoV-2 Transmission within Schools in Zimbabwe. Vaccines (Basel). 2021 Dec 15;9(12):1481.
  6. Kim H., Musuka G.N., Mukandavire Z., Branscum A., Cuadros D. F. When distance matters: Mapping HIV health care underserved communities in sub-Saharan Africa. PLOS Glob Public Health, 1(11): e0000013, (2021).
  7. Awad S.F., Musuka G., Mukandavire Z., Froass D., MacKinnon N.J., Cuadros, D.F. Implementation of a Vaccination Program Based on Epidemic Geospatial Attributes: COVID-19 Pandemic in Ohio as a Case Study and Proof of Concept. Vaccines 2021, 9, 1242.
  8. Correa-Agudelo, E., Kim, HY., Musuka, G.N., Mukandavire Z., Miller F. D., Tanser F. & Cuadroset D. F. The epidemiological landscape of anemia in women of reproductive age in sub-Saharan Africa. Sci Rep 11, 11955 (2021).
  9. Cuadros D. F., Branscum A. J, Mukandavire Z., Miller F. D., MacKinnon N., Dynamics of the COVID-19 epidemic in urban and rural areas in the United States, Annals of Epidemiology, Volume 59, 16-20, (2021).
  10. Correa-Agudelo E., Kim H. Y., Musuka G. N., Mukandavire Z., Akullian A. & Cuadros D. F., Associated health and social determinants of mobile populations across HIV epidemic gradients in Southern Africa, Journal of Migration and Health, Volume 3, 2021,100038.
  11. Quaife M., Terris‐Prestholt F., Mukandavire Z. & Vickerman P., Modelling the effect of market forces on the impact of introducing human immunodeficiency virus pre‐exposure prophylaxis among female sex worker, Mar 2021, Health Economics. 30, 3, p. 659-679 21 p.
  12. Mapingure, M., Mukandavire, Z., Chingombe, I., Cuadros, D., Mutenherwa, F., Mugurungi, O. & Musuka, G., Understanding HIV and associated risk factors among religious groups in Zimbabwe, 17 Feb 2021, BMC Public Health. 21, 1, 10 p., 375.
  13. Mudimu, E., Peebles, K., Mukandavire, Z., Nightingale, E., Sharma, M., Medley, G. F., Klein, D. J., Kripke, K. & Bershteyn, A., Individual and community-level benefits of PrEP in western Kenya and South Africa: Implications for population prioritization of PrEP provision, 31 Dec 2020, In: PLoS ONE. 15, 12 December, 11 p., e0244761.
  14. Eghtessadi, Z. Mukandavire, F. Mutenherwa, D. F. Cuadros, D, Musuka G., Safeguarding gains in the Sexual and Reproductive Health and AIDS Response amidst COVID-19: The Role of African Civil Society,  In : International Journal of Infectious Diseases, 100:286-291, 2020.
  15. Grant, G. B. Gomez, K. Kripke, R. V. Barnabas, C. Watts, G. F. Medley, Z. Mukandavire, Time to scale up PrEP beyond the highest-risk populations? Modelling insights from high-risk women in sub-Saharan Africa, Sexually Transmitted Diseases, 47(11):767-777, 2020.
  16. F. Cuadros, Y. Xiao, Z. Mukandavire, E. Correa-Agudelo, A. Hernández, Hana Kim, N. J. MacKinnon, Spatiotemporal transmission dynamics of the COVID-19 pandemic and its impact on critical healthcare capacity, Health & Place, 64, 102404, 2020.
  17. Mukandavire, F. Nyabadza, N. J. Malunguza, D. F. Cuadros, T. Shiri and G. N. Musuka, Quantifying early COVID-19 outbreak transmission in South Africa and exploring vaccine efficacy scenarios, PLoS ONE 15(7): e0236003, 2020.
  18. Mukandavire, P. Manangazira, F. Nyabadza, D. F. Cuadros, G. Musuka and J. G. Morris, Jr,  Stemming cholera tides in Zimbabwe through mass vaccination, International Journal of Infectious Diseases, 96 (2020) 222-227.
  19. Grant, A. M. Foss, C. Watts, G. Medley and Z. Mukandavire, Is modelling complexity always needed? Insights from modelling PrEP introduction in South Africa, J Public Health (Oxf). 2020 Feb 6. pii: fdz178. doi: 10.1093/pubmed/fdz178.
  20. F. Cuadros, J. Li, Z. Mukandavire, G. N. Musuka, A. J. Branscum, B. Sartorius, F. Tanser, O. Mugurungi. Towards UNAIDS Fast-Track goals: Targeting priority geographic areas for HIV prevention and care in Zimbabwe, AIDS, 2019, doi: 10.1097/QAD.0000000000002052.
  21. Musuka, F. Mutenherwa, Z. Mukandavire, I. Chingombe, M. Mapingure, Association between alcohol use and HIV status: Findings from Zambia and Zimbabwe, BMC Res Notes (2018) 11:508.
  22. F. Cuadros, A. J. Branscum, Z. Mukandavire, Temporal stability of HIV prevalence in high burden areas regardless of declines in national HIV prevalence in Malawi and Zimbabwe, AIDS. 2018 Apr 19. doi: 10.1097/QAD.0000000000001820.
  23. J. Malunguza , S. D. Hove-Musekwa, Z. Mukandavire, Projecting the impact of anal intercourse on HIV transmission among heterosexuals in high HIV prevalence settings, Journal of Theoretical Biology, 437:163-178. 2018.
  24. Grant, Z. Mukandavire, R. Eakel, H. Prudden, G. B. Gomez, H. Rees and C. Watts. When are declines in condom use on while using PrEP a concern? Modelling insights from a Hillbrow, South Africa case study, Journal of the International AIDS Society, 20:21744, 2017.
  25. J. Malunguza, S. D. Hove-Musekwa, Z. Mukandavire. Assessing the Potential Impact of Hormonal-Based Contraceptives on HIV Transmission Dynamics Among Heterosexuals. Bull Math Biol. 2017 Apr;79(4):738-771.
  26. J. Malunguza, S. D. Hove-Musekwa, S. Dube, Z. Mukandavire , Dynamical properties and thresholds of an HIV model with super-infection. Math Med Biol. 2016 Sep 25. pii: dqw014.
  27. Mukandavire , K. M. Mitchell, P. Vickerman, Comparing the impact of increasing condom use or HIV pre-exposure prophylaxis (PrEP) use among female sex workers, Epidemics, Volume 14, March 2016, Pages 62-70.
  28. J. Prudden, T. S. Beattie, N. Bobrova, J. Panovska-Griffiths, Z. Mukandavire, M. Gorgens, D. Wilson, C. H. Watts, Factors associated with variations in population HIV prevalence across West Africa: Findings from an ecological analysis, PLOS ONE, 2015 Dec 23;10(12):e0142601.
  29. Mukandavire, J. G. Morris Jr. Modeling the Epidemiology of Cholera to Prevent Disease Transmission in Developing Countries. Microbiol Spectrum, 2015 Jun;3(3). doi: 10.1128/microbiolspec. VE-0011-2014.
  30. Posny, J. Wang, Z. Mukandavire, and C. Modnak, Analyzing transmission dynamics of cholera with public health interventions. Mathematical  Biosciences, (10): p. 2015 Mar 28;264:38-53.
  31. M. Mitchell, A. M. Foss, H. J. Prudden, Z. Mukandavire, M. Pickles,J. R. Williams; H. C. Johnson, B. M. Ramesh, R. Washington, S. Isac, S. Rajaram, A. E. Phillips, J. Bradley, M. Alary, S. Moses, C. M. Lowndes, C. H. Watts, M.C. Boily, P. Vickerman, Who mixes with whom among men who have sex with men? Implications for modelling the HIV epidemic in southern India, Journal of Theoretical Biology,355, 140-150, 2014.
  32. Modnak, J. Wang, Z. Mukandavire, Simulating optimal vaccination times during cholera outbreaks, International Journal of Biomathematics, DOI: 10.1142/S1793524514500144, 2014.
  33. Nyabadza, S. D. Hove-Musekwa, H. Mambili- Mamboundou, Z. Mukandavire, C. Chiyaka, Cost Effectiveness Analysis of Hospitalization and Home-Based Care Strategies   for People Living with HIV/AIDS: The Case of Zimbabwe, International Scholarly Research Notices, Article ID 836439, 13 pages, http://dx.doi.org/10.1155/2014/836439, 2014.
  34. Mukandavire,D. L. Smith, J.G. Morris Jr., Cholera in Haiti: Reproductive numbers and vaccination coverage estimates. Scientific Reports. 3, 997; DOI:10.1038/srep00997, 2013.
  35. Malunguza, S. D. Hove-Musekwa, G. Musuka, Z. Mukandavire, Investigating alcohol consumption as a risk factor for HIV transmission in heterosexual settings in sub-Saharan African communities, Bulletin of Mathematical Biology, 74(9):2094-2124, 2012.
  36. Mukandavire, S. Liao, J. Wang, H. Gaff, D.  L. Smith, J. G.  Morris, Jr. Estimating the reproductive numbers for the 2008-2009 cholera outbreaks in Zimbabwe, Proceedings of the National Academy of Sciences, 108:8767–8772, 2011. (cover article, with accompanying editorial)
  37. Nyabadza, Z.  Mukandavire, Modelling the dynamics of HIV/AIDS in the presence of an HIV testing and screening campaign, Journal of Theoretical Biology,  280 (1), 167-179, 2011.
  38. Nyabadza, Z.  Mukandavire, S . D. Hove-Musekwa, Modelling the  HIV/AIDS epidemic trends in South Africa: insights from a simple mathematical model, Nonlinear Analysis Series : Real World Applications,12(4), 2091-2104, 2011.
  39. Magombedze, C. Chiyaka, Z. Mukandavire, Optimal control of malaria chemotherapy, Nonlinear Analysis: Modelling and Control, 16(4), 415–434, 2011.
  40. D. Hove-Musekwa, F. Nyabadza, C. Chiyaka,  P. Das, A. Tripathi, Z. Mukandavire, Modelling and analysis of the effects of malnutrition in the spread of cholera, Mathematical and Computer Modelling, 53, 1583-1595, 2011.
  41. Das, D. Mukherjee, A. Sen, Z. Mukandavire, C. Chiyaka Analysis of an in-host model for HIV dynamics with saturation effect and discrete time delay, Nonlinear Dynamics and Systems Theory, 11(2) 125–136 , 2011.
  42. Mukandavire, P. Das, C. Chiyaka, N. H. Gazi, K. Das, T. Shiri, HIV/AIDS model with delay and the effects of stochasticity, Journal of Mathematical Modelling and Algorithms,10(2), 181-191, 2011.
  43. Chiyaka, Z. Mukandavire, P. Das, Global dynamics of a malaria model with partial immunity and two discrete time delays, International Journal of Biomathematics, 4(2), 135–147, 2011.
  44. Mukandavire, A. Tripathi, G. Musuka, C. Chiyaka, F. Nyabadza, H. G. Mwambi, Modelling and analysis of the intrinsic dynamics of cholera, Differential Equations and Dynamical Systems, 19(3), 253-265, 2011.
  45. Chiyaka, Z. Mukandavire, P. Das, F. Nyabadza,  S. D. Hove-Musekwa, H. Mwambi, Theoretical analysis of mixed Plasmodium malariae and Plasmodium falciparum infections with partial cross immunity, Journal of Theoretical Biology, 263(2), 169-178, 2010.
  46. Malunguza, S. Mushayabasa, C. Chiyaka, Z. Mukandavire, Modelling the effects of condom use and antiretroviral therapy in controlling HIV/AIDS among heterosexuals, homosexuals and bisexuals, Computational and Mathematical Methods in Medicine, 11, 201–222, 2010.
  47. Mukandavire, C. Chiyaka, G. Musuka, J. M. Tchuenche,  HIV/AIDS model assessing the effects of gender-inequality affecting women in African heterosexual settings, International Journal of Biomathematics, 3(1), 43-67, 2010.
  48. Nyabadza, C. Chiyaka, Z. Mukandavire, S. D. Hove-Musekwa, Analysis of an HIV/AIDS model with public-health information campaigns and individual withdrawal, Journal of Biological systems, 18(2),  357–375, 2010.
  49. Chiyaka, G. Musuka, G. Magombedze, Z. Mukandavire, Malaria model with immigration of infectives and seasonal forcing in transmission, International Journal of Applied Mathematics and Computation, 2(3), 1–16, 2010.
  50. H. Gazi, K. Das, Z. Mukandavire, C. Chiyaka, P. Das, A study of cholera model with environmental fluctuations, International Journal of Mathematical Models and  Methods in Applied Sciences, 4(3), 150-155, 2010.
  51. Mukandavire, P. Das, C. Chiyaka, F. Nyabadza, Global analysis of an HIV/AIDS epidemic model, World Journal of Modelling and Simulation, Vol. 6 ,  No. 3, 231-240, 2010.
  52. Mukandavire, C. Chiyaka, W. Garira, G. Musuka, Mathematical analysis of a sex-structured HIV/AIDS model with a discrete time delay, Journal of Nonlinear Analysis: Theory, Methods & Applications, 71, 1082-1093, 2009.
  53. Mukandavire, A. B. Gumel, W. Garira and J.M. Tchuenche, Mathematical Analysis of a Model for HIV-Malaria Co-infection, Mathematical Biosciences and Engineering, 6(2), 333-363, 2009.
  54. Mukandavire, C. Chiyaka, G. Magombedze,  G.  Musuka,  N. Malunguza, Assessing the effects of homosexuals and bisexuals on the intrinsic dynamics of HIV/AIDS in African heterosexual settings, Mathematical and Computer Modelling,  49(9-10), 1869-1882,  2009.
  55. Das, Z. Mukandavire, C. Chiyaka, A. Sen, D. Mukherjee,  Bifurcation and Chaos in S-I-S Epidemic Model, Differential Equations and Dynamical Systems, 17(4), 393–417, 2009.
  56. Rudatsikira, D. Maposa,  Z. Mukandavire, A. S. Muula , S. Siziya, Prevalence and predictors of illicit drug use among school-going adolescents in Harare, Zimbabwe, Annals of  African Medicine, 8(4), 215-220, 2009.
  57. P. Bhunu, W. Garira, Z. Mukandavire, Modeling HIV/AIDS and Tuberculosis coinfection, Bulletin of Mathematical Biology, 71(7), 1745-1780, 2009.
  58. Mukandavire, W. Garira, and J.M. Tchuenche, Modelling effects of public health educational campaigns on HIV/AIDS transmission dynamics, Applied Mathematical Modelling, 33(4), 2084-2095, 2009.
  59. Magombedze, C. Chiyaka, G. Musuka, Z. Mukandavire, Optimal control of a sex-structured HIV/AIDS model with condom use,  Mathematical Modelling and Analysis, 14(4),  483–494, 2009.
  60. P. Bhunu, W. Garira, G. Magombedze, Z. Mukandavire, Modelling the effects of pre-exposure and post-exposure vaccines in tuberculosis control, Journal of Theoretical Biology, 254 (3), 633-649, 2008.
  61. P. Bhunu, W. Garira, Z. Mukandavire, M. Zimba, Tuberculosis model with chemoprophylaxis and treatment, Bulletin of Mathematical Biology, 70(4), 1163-1191, 2008.
  62. Chiyaka, W. Garira, S. Dube, Z. Mukandavire, Analysis of a human transmission model with discrete delays, Journal of Mathematical Control Science and Applications, 2(1), 171-188, 2008.
  63. Mukandavire and W. Garira, Effects of public health educational campaigns and the role of sex workers on the spread of HIV/AIDS among heterosexuals, Theoretical Population Biology, 72, 346-365, 2007.
  64. Mukandavire and W. Garira, Age and sex structured model for assessing the demographic impact of mother-to-child transmission of HIV/AIDS, Bulletin of Mathematical Biology, 69(6), 2061-2092, 2007.
  65. Mukandavire, K. Bowa and W. Garira, Modelling circumcision and condom use as HIV/AIDS preventive control strategies, Mathematical and Computational Modelling, 46(11), 1353-1372, 2007.
  66. Mukandavire and W. Garira, Sex-structured HIV/AIDS model to analyse the effects of condom use with application to Zimbabwe, Journal of Mathematical Biology, 54(5), 669-699, 2007.
  67. Mukandavire, W. Garira and C. Chiyaka, Asymptotic properties of an HIV/AIDS model with a time delay, Journal of Mathematical Analysis and Applications, 330 (2), 916-933, 2007.
  68. Mukandavire and W. Garira, HIV/AIDS model for assessing the effects of prophylactic sterilizing vaccines, condoms and treatment with amelioration, Journal of Biological Systems, 14(3), 323-355, 2006.
  69. D. Hove-Musekwa, V. Runyowa, Z. Mukandavire, Modelling the Epidemiological and Economic Impact of HIV/AIDS with particular reference to Zimbabwe, Modeling Paradigms and Analysis of Disease Transmission Models (eds. A.B. Gumel and Suzanne Lenhart). DIMACS Series in Discrete Mathematics and Theoretical Computer Science, Vol. 75, Amer. Math. Soc., Providence, RI, 187-207, 2010.
  70. Mukandavire, Chiyaka C., Musuka G. and J.M. Tchuenche, HIV/AIDS and the use of mathematical models in the theoretical assessment of intervention strategies: A review, In: Advances in Disease Epidemiology , Ed. J. M. Tchuenche and Z. Mukandavire, Nova Science Publishers Inc, NY, 221-242, 2009.
  71. J. Malunguza, Z. Mukandavire, S. D. Musekwa, S. Dube and J. M. Tchuenche, Two strain HIV/AIDS model and the possible effects of superinfection, In. Advances in Disease Epidemiology, Ed, J. M. Tchuenche and Z. Mukandavire, Nova Science Publishers Inc, NY, 169-192, 2009.
  72. Chiyaka., Z. Mukandavire, Musuka G., Dube S. and J.M. Tchuenche, A review of mathematical modelling the epidemiology of malaria, In. Infectious Disease Modelling Research Progress, Ed. J.M Tchuenche and C. Chiyaka, Nova Science Publishers Inc, NY, 151-176, 2009.
  73. Mukandavire, F.K. Mutasa, S. D. Hove-Musekwa, S. Dube and J.M. Tchuenche, Mathematical analysis of a cholera model with carriers and assessing the effects of treatment, In: Mathematical Biology Research Trends, Ed, L. B. Wilson, 1-37, Nova Science Publishers, 2008.
  74. Tafadzwa Dzinamarira, Solomon Mukwenha, Zindoga Mukandavire, Diego F Cuadros, Grant Murewanhema, Roda Madziva, Godfrey Musuka, Insights from Zimbabwe's SARS-CoV-2 genomic surveillance, The Lancet Global Health, 2021, ISSN 2214-109X, https://doi.org/10.1016/S2214-109X(21)00451-4.