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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

Help to rural women to become entrepreneurs
2006-10-24

Some of the guests who attended the ceremony were, from the left: Mr Donray Malabie (Head of the Alexander Forbes Community Trust), Ms Jemina Mokgosi (one of the ladies from Tabane Village who is participating in the Women in Agriculture project), Dr Limakatso Moorosi (Head: Veterinary Services, Free State Department of Agriculture), Prof Johan Greyling (Head: UFS Department of Animal and Wildlife and Grassland Sciences) and Ms Khoboso Lehloenya (coordinator of the project from UFS Department of Animal and Wildlife and Grassland Sciences). Photo: Leonie Bolleurs\

Alexander Forbes and UFS help rural women to become entrepreneurs
 
Today, the Alexander Forbes Community Trust and the University of the Free State (UFS) joined forces to create an enabling environment for rural women to become players in the private sector.

Three years ago the UFS set up a unique small-scale household egg production project called Women in Agriculture in Thaba ‘Nchu as a pilot project. The project was officially launched today by Mr Donray Malabie, Head of the Alexander Forbes Community Trust.

The aim of the Women in Agriculture Project is to create jobs, provide food security and to help develop rural women into entrepreneurs. A total of 25 women based in Tabane Village in Thaba ‘Nchu are the beneficiaries of the project.

“This is the first project in the Free State the Alexander Forbes Community Trust is involved with.  The project would help rural women acquire the skills they need to run their own egg-production business from their homes,” said Mr Malabie. 

“The ongoing debate on the shortage of skills ignores the fact that people with little or no education at all also need training. This project is special to the Trust as it provides for the creation of sustainable jobs, food security and the transfer of much needed skills all at once, particularly at this level,” he said.

Every woman in the group started with two small mobile cages that housed 12 hens each. The units are low in cost, and made of commercially available welded mesh and a metal frame. Now, each woman has four cages with 48 hens. The group manages to collectively produce 750 eggs daily.

The eggs are currently sold to local businesses, including spaza shops and the women are using the income generated to look after their families and to further develop their business.

The Department of Animal and Wildlife and Grassland Sciences at the UFS identified the project and did the initial research into the feasibility of setting up such a project.

“A demonstration and training unit has been established at the Lengau Agricultural Development Centre and the women attended a short practical training course. Subsidies are provided for feeding, together with all the material and the lay hens necessary for the start of the business,” said Ms Khoboso Lehloenya, coordinator of the project from the Department of Animal and Wildlife and Grassland Sciences at the UFS. 

“The advantage in using lay hens is that they are resistant to diseases and the women will not need electric heating systems for the egg production,” said Ms Lehloenya. 

According to Ms Lehloenya, the women are already benefiting from their egg production businesses.  “Some of them have used the profit to buy school uniforms and tracksuits for their children and others are now able to make a monthly contribution to their household expenses,” said Ms Lehloenya. 
“In South Africa, possibly due to cultural reasons and circumstances, most black people prefer to eat older and tougher chickens, compared to younger soft commercially available broiler chickens. This preference creates a further advantage for the women. At the end of their production cycle, old hens can be sold for a higher price than point-of-lay or young hens. This brings in further money to pay for more hens,” said Ms Lehloenya.

The Alexander Forbes Trust contributed R191 000 towards the project aimed at expanding it to benefit 15 more women.

“We are in the process of recruiting an additional 15 women in Thaba ‘Nchu who will be trained by the Lengau Agricultural Development Centre in order to replicate the model and extend its reach”, said Ms Lehloenya.

Media release
Issued by: Lacea Loader
Media Representative
Tel:   (051) 401-2584
Cell:  083 645 2454
E-mail:  loaderl@mail.uovs.ac.za
20 October 2006

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