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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

The influence of load shedding on the evening timetable
2008-01-31

The load shedding that is being applied at present also has a certain influence on especially the evening module and venue timetable. As part of the contingency planning of the UFS, an alternative module and venue timetable has been compiled so that classes that cannot take place during evenings in the week as a result of load shedding can be accommodated on Fridays and Saturdays.

After consultation with students, lecturers will decide whether the alternative timetable will apply when load shedding does indeed occur or whether the alternative timetable will be a permanent arrangement.

The alternative evening module and venue timetable are as follows:

Classes that are presented in the timeslot 18:10 to 21:00 on Thursdays are alternatively accommodated in the same venues at the same times on a Friday. Double or more periods that commence at 17:00, but continue into the period of load shedding are also included in this alternative arrangement.

It is important to note that lecturers who present double periods that start at 14:10 and continue into the period of load shedding must make ad hoc arrangements should they wish to have their periods also included in the alternative timetable.

Classes that take place in the timeslot 20:10 to 22:00 on Wednesdays are alternatively accommodated in the timeslot 08:10 to 12:00 on Saturdays, in a few cases in different venues from those scheduled initially. Double or more periods that start at 18:10, but continue into the period of load shedding are also included in this alternative arrangement.

The venue changes for Wednesday periods that are accommodated on Saturdays are as follows:

  • BLG114 Practical 1 English (A) in the Biology Building 28 from 08:10 to 11:00
     
  • STK114 Practical 1 Afrikaans (D) in West Block 201 from 09:10 to 11:00
     
  • STK114 Practical 1 English (D) in West Block 202 from 09:10 to 11:00
     
  • ALM108 Lecture 1 English (G) in FGG169 from 09:10 to 11:00
     
  • EKN314 Lecture 2 English (A) in the Rindl Hall from 09:10 to 11:00
     
  • EFA112 Lecture 2 Afrikaans (A) in FGG377 from 10:10 to 11:00
     
  • EFK112 Lecture 2 Afrikaans (A) in FGG183 from 10:10 to 11:00
     
  • DLS112 Lecture 2 English (A) in FGG184 from 10:10 to 11:00
     
  • ALC108 Lecture 2 English (E) in the South Block 1 from 10:10 to 11:00
     
  • DLS112 Lecture 2 Afrikaans (A) in the FGG377 from 11:10 to 12:00
     
  • EFA112 Lecture 2 English (A) in FGG183 from 11:10 to 12:00
     
  • EFK112 Lecture 2 English (A) in FGG184 from 11:10 to 12:00
     
  • ELF112 Lecture 2 English (A) in FGG169 from 11:10 to 12:00
     
  • EKN214 Lecture 3 English (A) in Stabilis 4 from 11:10 to 12:00

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