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12 May 2020 | Story Andre Damons | Photo Pexels
A data scientist and research coordinator at the University of the Free State (UFS), in collaboration with his supervisor at the University of Pretoria (UP), is at the forefront of the fight against the Covid-19 virus with accurate data and analysis.
Herkulaas Combrink of the Centre for Teaching and Learning at the UFS and PhD candidate in Computer Science at the UP, said accurate data is important to prevent widespread panic and sensationalism during a global disaster such as the current pandemic. This information helps people to make informed decisions and to reduce their exposure to the threat of the virus.

Assisting decision-makers

“I, along with colleagues from the World Health Organization, the Centers for Disease Control and Prevention in the USA, the provincial office of the Centers for Disease Control and Prevention, provincial clinicians, and the Free State Department of Health led by Dr David Motau, have been able to progress significantly in terms of evidence-based tools to assist provincial and national decision-makers during these turbulent times.”
“It does come at a cost, though, in that we have worked continuously since the lockdown, dedicating all our time and efforts to the department from all over to ensure that we are not part of some of the global statistics we have seen,” said Combrink. 

A paper written together with his supervisor, Dr Vukosi Marivate, has also been accepted by the Department of Higher Education and Training (DHET)-accredited Data Science Journal.  This paper is related to a framework for sharing public data to the public in a way that is useful, usable, and understandable. 

Ongoing projects

Combrink said it is hard to name all those who are/were involved in the great work done by the Free State Department of Health, but some of them include Dr Elizabeth Reji (Head of Department, Family Medicine), Dr Collin Noel (surgeon, senior lecturer at the UFS), Dr Sammy Mokoena (community health registrar, UFS), Dr Ming-Han Motloung (public health medicine specialist, senior lecturer, UFS), Dr Perpetual Chikobvu (Director: Information Management at the Department of Health, affiliated lecturer at the UFS), as well as Alfred Deacon (lecturer at the UFS), who have worked at some point during this short space of time on one of the many projects. 

Some of the projects include the following:

• A provincial database for screening and monitoring.
• A data pipeline and assembly of hospital information flow, liaised with the NICD, Vodacom, and the different district managers to ensure that the pipeline occurs in a timely manner.
• Digitised paper-based capturing tools for rapid data capturing and processing.
• Incorporated state-of-the-art visualisation tools to action data into useful information for decision-makers in certain areas.
• Provided both provincial and national projections, stress testing different scenarios using a variety of statistical, computational, and/or machine-learning approaches to add to the already existing projections of the Council for Scientific and Industrial Research (CSIR).
• Training healthcare professionals in the field to apply these tools within their own districts.
No easy task

“These aforementioned feats were by no means easy and are not completed yet, but we are getting there. In the foreseeable future, I will be working closely with national and international researchers to deploy a tool for hospital managers in the Free State that will assist them when we move from level 5 to any level below.”

“In addition to this, I am constantly providing support to the Free State Department of Health regarding any analysis required for decision-making purposes. The teams we work in comprise highly competent individuals with a passion for solving problems from multidisciplinary perspectives,” according to Combrink.

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.


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