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Mathematical and Statistical Modelling in Biosciences

This focus area is devoted to recent advances in life sciences that are based on applications of mathematics and statistics. It also includes mathematics and statistics which is applied or motivated by biological studies. The focus area seeks to promote multidisciplinary research, bringing together mathematicians, applied mathematicians, statisticians, biologists, ecologists and other practitioners in life and medical sciences. With so many sub-themes, multidisciplinary research is at the forefront of the activities.

South Africa, like many other developing countries, is deeply affected by diseases such as HIV/AIDS, tuberculosis, malaria, and cancer, among others. Human health, the health of domestic and wild animals, plant life, and the broader environment are interconnected. Consequently, a knowledge-driven approach is essential to address the challenges at the human-animal-ecosystem-environment interface. The focus area calls for integration of various fields and disciplines, amongst others mathematics, statistics, ecology, biology, to collaboratively enhance well-being and address threats to health and ecosystems through sophisticated modelling, together with the computational aspects. Advancements in modelling methodologies may assist decision-makers in executing essential management judgments about these matters. 

Researchers

Michael Chapwanya (UP) Focus Area Coordinator (FAC) michael.chapwanya@up.ac.za
Phindile Dumani (UP) Assistant Focus Area Coordinator (AFAC) phindile.dumani@up.ac.za 
Alex Welte (SU)
Barend Erasmus (UP)
Cang Hui (SU)
Chinenye Assumpta Nnakenyi (SU)
Farai Chirove (UJ)
Farai Nyabadza (UJ)
Jacek Banasiak (UP)
Jean Lubuma (Wits)
Justin Munganga (UNISA)
Kesh Govinder (UKZN)
Maria Vivien Visaya (UJ)
Michael Chapwanya (UP)
Michel Verstraete (Wits)
Patrick Tchempo Djomegni (NWU)
Roumen Anguelov (UP)
Salisu Garba (UP)
Segun Isaac Oke (UP) 
Tony Booth (RU)
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