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Faraimunashe Chirove

Professor
Name: Faraimunashe Chirove
Location: B Ring 531 Auckland Park Kingsway Campus
Mathematics and Applied Mathematics Academic Staff  Staff Members

Contact Details:
Tel: +27 (0) 11 559 7328

Email: fchirove@uj.ac.za

About Faraimunashe Chirove

Prof Faraimunashe Chirove is doing research in the field of Applied mathematics and Biomathematics with a research goal: “from omics to population dynamics”, a goal which seeks to explore, analyze, and understand the prognosis of infection across the various scales of occurrence and how the occurrence of infection at one scale can affect the infection dynamics at other scales. His research interests have expanded into mathematical ecology, data-based modelling, agent-based modelling, applications into zoonotic diseases, stochastic modelling, multi-scale modelling, antimicrobial resistance among, machine learning techniques for dynamical systems,  among others.  He is also focusing on multi-and interdisciplinary research as to make his modelling skills manifest into realistic impact on public health and animal health policies

Links

Google scholar: https://scholar.google.com/citations?user=vQSEaswAAAAJ&hl=en

ORCID: https://orcid.org/0000-0001-6820-688X

Recent Publications

  1. Praise-God Madueme, Faraimunashe Chirove, (2024), A systematic review of mathematical models of Lassa fever, Mathematical Biosciences, 374, 109227, https://doi.org/10.1016/j.mbs.2024.109227
  2. A. Mgandu, S. Mirau, N. Nyerere, E. Mbega, F. Chirove (2024), Mathematical model to assess the impacts of aflatoxin contamination in crops, livestock and humans, Scientific African, 23, e01980, https://doi.org/10.1016/j.sciaf.2023.e01980
  3. A. Mgandu, S. Mirau, N. Nyerere, F. Chirove, Optimal control and cost effectiveness analysis of contamination associated with aflatoxins in maize kernels, livestock and humans, Results in Control and Optimization, 2023 (13),100313, https://doi.org/10.1016/j.rico.2023.100313
  4. Milliward Maliyoni, Holly D Gaff, Keshlan S Govinder, Faraimunashe Chirove, (2023) Multipatch stochastic epidemic model for the dynamics of a tick bone disease, Frontiers in Applied Mathematics and Statistics, 9, 1122410, https://doi.org/10.3389/fams.2023.1122410
  5. Baaba A Danquah, Faraimunashe Chirove, Jacek Banasiak, (2023), Controlling malaria in a population accessing counterfeit drugs, Mathematical Biosciences and Engineering, 20 (7), 11895-11938, https://www.aimspress.com/article/doi/10.3934/mbe.2023529
  6. Juga, M., Nyabadza, F. & Chirove, F. Modelling the impact of stigmatisation of Ebola survivors on the disease transmission dynamics. Sci Rep13, 4859 (2023). https://doi.org/10.1038/s41598-023-32040-6
  7. Praise-God Madueme, Faraimunashe Chirove, (2023), Understanding the transmission pathways of Lassa fever: A mathematical modeling approach, Infectious disease modelling, 8(1), 27-57, https://doi.org/10.1016/j.idm.2022.11.010.
  8. Gatyeni, Siphokazi P., Chirove, Faraimunashe, Nyabadza, Farai (2022), Modelling the Potential Impact of Stigma on the Transmission Dynamics of COVID-19 in South Africa, Mathematics, 10 (18), 2227-7390, https://doi.org/10.3390/math10183253.
  9. P. Gatyeni, F. Chirove, C.W. Chukwu, Fatmawati, F. Nyabadza (2022), Application of Optimal Control to Long Term Dynamics of COVID-19 Disease in South Africa, Scientific African, 16, e01268, https://doi.org/10.1016/j.sciaf.2022.e01268.
  10. Edholm, C. J., Levy, B., Spence, L., Agusto, F. B., Chirove, F., Chukwu, C. W., Goldsman, D., Kgosimore, M., Maposa, I., Jane White, K. A., & Lenhart, S. (2022). A vaccination model for COVID-19 in Gauteng, South Africa. Infectious Disease Modelling, 7(3), 333–345. https://doi.org/10.1016/j.idm.2022.06.002