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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

Plant eco-physiologist finds effective solutions for crop optimisation
2016-07-24

Description: Orange trees Tags: Orange trees

The bio-stimulant was tested on
this citrus. This is the first time
that the product has been tested
on a crop.

In a time characterised by society facing increasing population growth, food crises, and extreme climatic conditions such as drought, it is essential for farmers to integrate science with their work practices in order to optimise crops.

Role of photosynthesis and plant sap data

By knowing how to use photosynthesis and plant sap data for determining plant health, fast and effective solutions could be established for the optimisation of crops. This technique, which could help farmers utilise every bit of usable land effectively, is the focus of Marguerite Westcott’s PhD study. She is a junior lecturer and plant eco-physiologist in die Department of Plant Sciences at the University of the Free State.

Westcott uses this technique in her studies to prove that a newly-developed bio-stimulant stimulates plants in order to metabolise water and other nutrients better, yielding increased crops as a result.

Agricultural and mining sectors benefit from research

The greatest part of these projects focuses on the agricultural sector. Westcott and a colleague, Dr Gert Marais, are researching the physiology of pecan and citrus trees in order to optimise the growth of these crops, thus minimising disease through biological methods. Field trials are being conducted in actively-producing orchards in the Hartswater and Patensie areas in conjunction with the South African Pecan Nut Producers Association (SAPPA) amongst others.
 
The principles that Westcott applies in her research are also used in combination with the bio-stimulant in other studies on disturbed soil, such as mine-dump material, for establishing plants in areas where they would not grow normally. This is an economical way for both the agricultural and mining sectors to improve nutrient absorption, stimulate growth, and contribute to the sustainable utilisation of the soil.

Description: Pecan nut orchards  Tags: Pecan nut orchards

The bio-stimulant contributes to the immunity of the plants.
It was tested in these pecan nut orchards (Hartswater).

Soil rehabilitation key aspect in research projects

“One of two things is happening in my research projects. Either the soil is rehabilitated to bring about the optimal growth of a plant, or the plants are used to rehabilitate the soil,” says Westcott.

Data surveys for her PhD studies began in 2015. “This will be a long-term project in which seasonal data will be collected continuously. The first set of complete field data, together with pot trial data, will be completed after the current crop harvest,” says Westcott.

 

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