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01 March 2023 | Story Alicia Pienaar
Prof Mathys Labuschagne
Prof Mathys Labuschagne is the Head of the Clinical Simulation and Skills Unit within the School of Biomedical Sciences in the Faculty of Health Sciences

The Dean of the Faculty of Health Sciences, Prof Gert van Zyl, invites you to the inaugural lecture of Prof Mathys Labuschagne, Head of the Clinical Simulation and Skills Unit within the School of Biomedical Sciences in the Faculty of Health Sciences. 

Subject: Clinical Simulation: Quo Vadis? 
Venue:  Auditorium, Equitas Building, Bloemfontein Campus 
Date: 8 March 2023 
Time: 17:30 

RSVP on or before Friday 3 March 2023

Light refreshments will be served after the inaugural lecture.


About Prof M Labuschagne

Prof Mathys Labuschagne is the Head of the Clinical Simulation and Skills Unit within the School of Biomedical Sciences in the Faculty of Health Sciences at the University of the Free State. He completed his MB ChB degree and qualified as an ophthalmologist in 2006.

He developed an interest in health professions education and obtained a PhD in Health Professions Education in June 2012. The title of his thesis was: Clinical Simulation to enhance undergraduate medical education and training at the University of the Free State.

Prof Labuschagne was appointed Head of the Clinical Simulation and Skills Unit at the University of the Free State. The facility is utilised for undergraduate and postgraduate clinical simulation training, as well as interprofessional training and research. He has a special interest in simulation as training tool, precision skills training, and mastery of learning and simulation as tool to prepare students for interprofessional education and collaborative practice.

Prof Labuschagne is part of a multi-institutional consortium that developed the MySkills Medic app. It is a clinical procedural skills application aimed at graduating medical students, interns, and community-service doctors. He was appointed as a member of the Ophthalmology Foundation Education Simulation Subcommittee (affiliate of the International Council of Ophthalmology) tasked with developing a white paper to guide simulation training for ophthalmologists. He is involved in postgraduate supervision for master’s and PhD students in HPE.


News Archive

Death may come in adorable little packages
2015-03-23

The main host of the Lassa virus is the Natal Mulimammate mouse.

Photo: Supplied

Postdoctoral researcher, Abdon Atangana, of the Institute for Groundwater Studies at the university recently published an article online about the Lassa Haemorrhagic fever in the Natural Computing Applications Forum. In addition to the terminal transmissible sickness recognised as Ebola haemorrhagic fever, there is another strain called Lassa haemorrhagic fever.

The disease is classified under the arenaviridae virus family. The first outbreaks of the disease were observed in Nigeria, Liberia, Sierra Leone, and the Central African Republic. However, it was first described in 1969 in the town of Lassa, in Borno State, Nigeria.

The main host of the Lassa virus is the Natal Mulimammate mouse, an animal indigenous to most of Sub-Saharan Africa. The contamination in humans characteristically takes place through exposure to animal excrement through the respiratory or gastrointestinal tracts.

Mouthfuls of air containing tiny particle of infective material are understood to be the most noteworthy way of exposure. It is also possible to acquire the infection through broken skin or mucous membranes that are directly exposed to the infective material.

“The aim of my research was to propose a novel mathematical equation used to describe the spread of the illness amongst pregnant women in West Africa. To achieve this, I used my newly-proposed derivative with fractional order called beta-derivative. Since none of the commonly used integral transform could be used to derive the solution of the proposed model, I proposed a new integral transform called Atangana-Transform, and used it, together with some iterative technique, to derive the solution of the model.

“My numerical simulations show that the disease is as deadly amongst pregnant women as Ebola,” Abdon said.

Abdon’s research was submitted to one of Springer’s top-tier journals with an impact factor 1.78. The paper was accepted and published February 2015.

Read more about Abdon’s research.

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