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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

UFS to monitor the use of ARV-drugs on pregnant women and children
2004-12-08

The University of the Free State (UFS) is to establish a Pharmacovigilance Centre that will monitor the effects of Anti-Retroviral (ARV) drugs on HIV positive pregnant women and children starting early in the new year.

The UFS is one of only two institutions chosen by the Minister of Health, Dr Manto Tshabalala-Msimang, to establish such an ARV monitoring centre.

The other centre will be based at Medical University of South Africa (MEDUNSA) and will concentrate mainly on monitoring the effects of the drugs on adults.

“The establishment of the UFS’s Pharmaconvigilance Centre forms part of government’s Comprehensive Plan on HIV and AIDS, often termed the roll-out plan for ARV drugs. The centre’s primary responsibility will be to specifically monitor the use of these drugs in pregnant women, and children under the age of 13,” said Prof Andrew Walubo of the UFS’s Department of Pharmacology.

“Although most of the side effects of ARV drugs have been identified in other countries, it has now become critical to identify the side effects amongst the South African population. This is important because many people will be exposed to the drugs within a short time. Our aim is so identify the most common side effects and make recommendations for the prevention thereof. The centre will help in detecting the risk of using anti-retroviral drugs in pregnancy and children, and prevention of adverse drug reactions,” said Prof Walubo.

According to Prof Walubo 12 drugs will be monitored – these drugs will be selected according to the patient’s profile.

The centre will comprise of two components: A pregnancy registry, which will focus on a new-born child up until two months and a pediatric registry, which will focus on children who are born of mothers who used ARV drugs and children using ARV drugs.

According to Prof Walubo, the Pharmaconvigilance Centre will also be responsible for offering relevant technical advice, training and selected research on ARV drugs in these patients.

The centre will be fully sponsored by the national Department of Health. It will be based in the UFS’s Faculty of Health Sciences, Department of Pharmacology, and will be run in collaboration with experts from different departments in the faculty.

Media release
Issued by: Lacea Loader
Media Representative
Tel: (051) 401-2584
Cell: 083 645 2454
E-mail: loaderl.stg@mail.uovs.ac.za
8 December 2004

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