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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

Right to Learn campaign seeks to fund financially needy students
2015-11-11

SRC President, Lindokuhle Ntuli, pledges financial support to the Right to Learn campaign.
Photo: Tango Twasa

In response to the dire need for financial relief for academically deserving students from underprivileged backgrounds, the Student Representative Council (SRC) of the University of the Free State (UFS) launched the Right to Learn campaign on Friday 30 October 2015. The campaign, which aims to counter deregistration, was initiated following the national #FeesMustFall campaign, which gained momentum after students from the University of Witwatersrand first mobilised against the proposed fee increases for 2016.

The SRC’s Projects Committee realised that, although President Jacob Zuma had consented to a 0% increment, the lack of an increase would not eliminate the financial burden currently facing some students.

“The campaign was conceived at the SRC’s strategic planning meeting, and is now spearheaded by the SRCs Projects Committee,” said Letsika Leqoalane, SRC: Academic Affairs. “The campaign was founded on the university's value of ‘Superior Scholarship’ and the SRC’s value of reducing student financial exclusions,” he added.

Students in pursuit of continued access to education


The Right to Learn campaign was established as a supplementary initiative to the #FeesMustFall movement. “The Right to Learn campaign is an initiative to raise funds for students who are facing financial exclusion in the coming year,” said the SRC Academics Affairs officer.

All proceeds will be channeled towards reducing the number of students who will face de-registration in 2016, the SRC textbook bursary, and food bursaries. “This campaign stands on three pillars, namely: no to de-registration, no to student food insecurity, and yes to textbooks,” explained Leqoalane.

A call for support

According to SRC President, Lindokuhle Ntuli, “SRC members have made pledges of no less than R500 each from their own pockets.” The SRC is appealing to the UFS community to make donations into the campaign bank account, and thereafter to email the proof of payment to Ntuli at NtuliL@ufs.ac.za. The account details are:

Account number: 15-7085-0721 ABSA Bank Branch
Reference: SRC FUND
Branch Code: 632005 Cheque Account
Swift code: ABSAZAJJ

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