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05 September 2022 | Story Andrè Damons | Photo Andrè Damons
Prof Abdon Atangana
Prof Abdon Atangana, Professor of Applied Mathematics in the Institute for Groundwater Studies (IGS) and a highly cited mathematician for the years 2019-2021, says existing mathematical models are used to first fit collected data and then predict future events. It is for this reason he introduced a new concept that can be used to test whether the spread will have one or several waves.

With a new outbreak of the Ebola Virus Disease (EVD) reported this year in Democratic Republic of the Congo (DRC) – the 14th EVD outbreak in the country – researchers at the University of the Free State (UFS) introduced a new concept that can be used to test whether the spread will have one or several waves. They believe the focus should be to identify the source or the hosts of this virus for it to be a complete eradication. 

According to the Centers for Disease Control and Prevention (CDC), the Ministry of Health in the Democratic Republic of the Congo (DRC) declared an outbreak of Ebola in Mbandaka health zone, Equateur Province on April 23, 2022. EVD, formerly known as Ebola haemorrhagic fever, is a severe, often fatal illness affecting humans and other primates. The virus is transmitted to people from wild animals (such as fruit bats, porcupines and non-human primates) and then spreads in the human population through direct contact with the blood, secretions, organs or other bodily fluids of infected people, and with surfaces and materials (e.g. bedding, clothing) contaminated with these fluids, according to the World Health Organisation (WHO).
 
Prof Abdon Atangana, Professor of Applied Mathematics in the Institute for Groundwater Studies (IGS), says existing mathematical models are used to first fit collected data and then predict future events. Predictions help lawmakers to take decisions that will help protect their citizens and their environments. The outbreaks of COVID-19 and other infectious diseases have exposed the weakness of these models as they failed to predict the number of waves and in several instances; they failed to predict accurately day-to-day new infections, daily deaths and recoveries.

Solving the challenges of the current models

In the case of COVID-19 in South Africa, it is predicted that the country had far more infections than what was recorded, which is due to challenges faced by the medical facilities, poverty, inequality, and other factors. With Ebola in the DRC, data recorded are not far from reality due to the nature of the virus and its symptoms. However, the predictions show although some measures have been put in place in DRC and other places where the Ebola virus spread, they will still face some challenges in the future, as the virus will continue to spread but may have less impact. 

“To solve the challenges with the current models, we suggested a new methodology. We suggested that each class should be divided into two subclasses (Detected and undetected) and we also suggested that rates of infection, recovery, death and vaccination classes should be a function of time not constant as suggested previously. These rates are obtained from what we called daily indicator functions. For example, an infection rate should be obtained from recorded data with the addition of an uncertain function that represents non-recorded data (Here more work is still to be done to get a better approximation).

“I introduced a new concept called strength number that can be used to test whether the spread will have one or several waves. The strength number is an accelerative force that helps to provide speed changes, thus if this number is less than zero we have deceleration, meaning there will be a decline in the number of infections. If the number is positive, we have acceleration, meaning we will have an increase in numbers. If the number is zero, the current situation will remain the same,” according to Prof Atangana. 

To provide better prediction, he continues, reliable data are first fitted with the suggested mathematical model. This helps them to know if their mathematical model is replicating the dynamic process of the spread. The next step is to predict future events, to do this, we create three sub-daily indicator functions (minimum, actual, and maximum). These will lead to three systems, the first system represents the worst-case scenario, the second is the actual scenario, and the last is a best-case scenario.

Virus will continue to spread but with less impact

Using this method, Prof Atangana, a highly cited mathematician for the years 2019-2021, says he and Dr Seda Igret Araz, postdoctoral student, were able to predict that, although some measures have been put in place in DRC and other places where the Ebola virus spreads, they will still face some challenges in the future as the virus will continue to spread but may have less impact. 

To properly achieve the conversion from observed facts into mathematical formulations and to address these limitations, he had to ask fundamental questions such as what is the rate of infection, what is the strength of the infection, what are the crossover patterns presented by the spread, how can day-to-day new infected numbers be predicted and what differential operator should be used to model a dynamic process followed by the spread?

This approach was tested for several infectious diseases where we present the case of Ebola in Congo and Covid-19 in South Africa.  

News Archive

RAG resilience shines despite rain
2017-02-07

Description: Rag 2017 Tags: Rag 2017

Winning float for 2017: Armentum, Vergeet-My-Nie,
and Emily
Photo: Lelanie de Wet 

Although the 75th RAG festivities were challenged by ominous weather, in true Kovsie spirit students and organisers still made a gleaming success of the day. 

Students help to create sunny feeling
On 6 February 2017, the annual float-building activities culminated in the handing over of schoolbags to 150 learners from schools in and around Bloemfontein. This took place at the Rag Farm on the Bloemfontein Campus of the University of the Free (UFS), since the morning procession to Twin City Mall in Heidedal had to be cancelled due to bad weather.

“It is of course a huge disappointment to all of us that the events had to be cancelled, but we are grateful for the rain,” said Karen Scheepers, Head of Kovsie Rag Community Service and Assistant Director: Student Affairs.

The evening KFC Rag procession took place as planned, with students having the option of taking part despite the weather. Unfortunately, the Chevrolet Music Festival had to be cancelled.

“The very important actors of today are our students who have worked long hours to build the floats and who have worked together to make this rainy day on the outside feel sunny inside,” said Prof Francis Petersen, incoming UFS Vice-Chancellor and Rector, when he addressed the crowd at the Rag Farm. Prof Petersen will take up office on 1 April 2017.

Armentum, Vergeet-My-Nie, and Emily take honours
Armentum, Vergeet-My-Nie, and Emily Hobhouse were the overall winners of the 2017 Rag float-building. “It was worth the hard work. Always remember to ask for advice during float-building,” said Pieter Kotze, RC Rag of Armentum residence on the Bloemfontein Campus. “I also want to thank both the RC Rag from Vergeet-My-Nie and Emily Hobhouse.”

The float theme was Proudly South African, and the winning float encapsulated it with local flavours such as Chappies, a Rooibos tea box and a Lion matchsticks box. They also went the extra mile by incorporating each hostel’s logo within a Chappie design.

The Central Rag Committee would like to thank all their sponsors who made the events possible. The Rag Coronation Ball will take place on 17 February 2017, where the new Rag Queen and Mr Rag will be crowned.

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