Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
10 May 2022 | Story Anthony Mthembu | Photo Supplied
Alina Ntsiapane
Alina Ntsiapane obtained second place in the partners division of the ILRI CapDev Grand Challenge research pitching contest.

Alina Ntsiapane, a PhD student at the University of the Free State, obtained second place in the partners category of the International Livestock Research Institute’s (ILRI) CapDev Grand Challenge research pitching contest, which took place on 13 April 2022. The pitching contest is the first part of the CapDev Grand Challenge, which is a 10-month process aimed at equipping scientists with the necessary skills to contribute to new research. 

Presenting Research to a Tough Panel of Judges 

Ntsiapane was one of 30 contestants who presented their research virtually to a panel of esteemed judges. “It was not easy, it was very challenging for me because it was my first time presenting my PhD study and I had to do it live on an international platform,” expressed Ntsiapane. Although each contestant is thoroughly prepared for their respective presentations, Ntsiapane argues that some of the questions asked by the judges can be quite daunting. “Some of their questions were very challenging and I did not know how to respond to them, but they made me aware of ways in which I needed to improve my research,” she stated. However, regardless of the intensity of the pitching contest, Ntsiapane’s research allowed her to progress to the next stage of the CapDev Grand Challenge. She will be part of the rigorous 10-month training process that will begin in June 2022.

Ntsiapane’s Research Project

Ntsiapane’s PhD research focuses on the production of smallholder wool as a means to improve livelihoods in both Thaba ’Nchu and Botshabelo in the Free State. In fact, in the research Ntsiapane highlights that there has been a significant decline in the production of wool within the last three decades. As such, Ntsiapane believes it is imperative to create spaces that allow for the training of small-scale farmers, so that the production of wool can still be a possibility.
Consequently, Ntsiapane hopes that the 10-month training she will receive from the CapDev Grand Challenge will not only allow her to grow but will assist in opening doors for her. “I’m hoping to get exposure and to make connections with policy makers and the donors as well. This will assist me in achieving my goals,” she explained. 

Future Endeavours After the Training Course

Subsequent to the training course, Ntsiapane would like to utilise that knowledge by continuing to make her most recent project a reality. Ntsiapane is currently working on developing a television show aimed at providing adequate training to small-scale farmers, so that they are equipped with the necessary knowledge and understanding of the industry in which they find themselves. As such, being part of the CapDev Grand Challenge will allow her to learn some of the necessary ways in which this dream could become a reality. 

News Archive

Fight against Ebola virus requires more research
2014-10-22

 

Dr Abdon Atangana
Photo: Ifa Tshishonge
Dr Abdon Atangana, a postdoctoral researcher in the Institute for Groundwater Studies at the University of the Free State (UFS), wrote an article related to the Ebola virus: Modelling the Ebola haemorrhagic fever with the beta-derivative: Deathly infection disease in West African countries.

“The filoviruses belong to a virus family named filoviridae. This virus can cause unembellished haemorrhagic fever in humans and nonhuman monkeys. In literature, only two members of this virus family have been mentioned, namely the Marburg virus and the Ebola virus. However, so far only five species of the Ebola virus have been identified, including:  Ivory Coast, Sudan, Zaire, Reston and Bundibugyo.

“Among these families, the Ebola virus is the only member of the Zaire Ebola virus species and also the most dangerous, being responsible for the largest number of outbreaks.

“Ebola is an unusual, but fatal virus that causes bleeding inside and outside the body. As the virus spreads through the body, it damages the immune system and organs. Ultimately, it causes the blood-clotting levels in cells to drop. This leads to severe, uncontrollable bleeding.

Since all physical problems can be modelled via mathematical equation, Dr Atangana aimed in his research (the paper was published in BioMed Research International with impact factor 2.701) to analyse the spread of this deadly disease using mathematical equations. We shall propose a model underpinning the spread of this disease in a given Sub-Saharan African country,” he said.

The mathematical equations are used to predict the future behaviour of the disease, especially the spread of the disease among the targeted population. These mathematical equations are called differential equation and are only using the concept of rate of change over time.

However, there is several definitions for derivative, and the choice of the derivative used for such a model is very important, because the more accurate the model, the better results will be obtained.  The classical derivative describes the change of rate, but it is an approximation of the real velocity of the object under study. The beta derivative is the modification of the classical derivative that takes into account the time scale and also has a new parameter that can be considered as the fractional order.  

“I have used the beta derivative to model the spread of the fatal disease called Ebola, which has killed many people in the West African countries, including Nigeria, Sierra Leone, Guinea and Liberia, since December 2013,” he said.

The constructed mathematical equations were called Atangana’s Beta Ebola System of Equations (ABESE). “We did the investigation of the stable endemic points and presented the Eigen-Values using the Jacobian method. The homotopy decomposition method was used to solve the resulted system of equations. The convergence of the method was presented and some numerical simulations were done for different values of beta.

“The simulations showed that our model is more realistic for all betas less than 0.5.  The model revealed that, if there were no recovery precaution for a given population in a West African country, the entire population of that country would all die in a very short period of time, even if the total number of the infected population is very small.  In simple terms, the prediction revealed a fast spread of the virus among the targeted population. These results can be used to educate and inform people about the rapid spread of the deadly disease,” he said.

The spread of Ebola among people only occurs through direct contact with the blood or body fluids of a person after symptoms have developed. Body fluid that may contain the Ebola virus includes saliva, mucus, vomit, faeces, sweat, tears, breast milk, urine and semen. Entry points include the nose, mouth, eyes, open wounds, cuts and abrasions. Note should be taken that contact with objects contaminated by the virus, particularly needles and syringes, may also transmit the infection.

“Based on the predictions in this paper, we are calling on more research regarding this disease; in particular, we are calling on researchers to pay attention to finding an efficient cure or more effective prevention, to reduce the risk of contamination,” Dr Atangana said.


We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept