Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
17 June 2025 | Story Tshepo Tsotetsi | Photo Supplied
Dr Herkulaas Combrink
Dr Herkulaas Combrink is representing UFS in a new international research project that aims to improve how evidence is used in public health policymaking.

Dr Herkulaas Combrink, a senior lecturer in the Faculty of Economic and Management Sciences (EMS) at the University of the Free State (UFS), is representing the university in a new international research project that aims to improve how evidence is used in public health policymaking.

Dr Combrink, who is also a co-director of the Interdisciplinary Centre for Digital Futures (ICDF), has been selected as one of the principal investigators in a newly funded project supported by the UK’s International Science Partnerships Fund under the Evidence-Informed Policymaking Programme. Running from April 2025 to March 2026, the project – titled Integrating Evidence for Contextualised Public Health Policy: Lessons from South Africa – explores how different types of evidence can be used more effectively in shaping public health policy. The international collaboration includes researchers from the Centre for Philosophy of Epidemiology, Medicine and Public Health, which is a collaboration between Durham University and the University of Johannesburg; as well as Durham’s Centre for Humanities Engaging Science and Society.

 

From the Free State to global impact

For Dr Combrink, being part of this collaboration highlights the important work being done in the faculty and ICDF that is reaching beyond borders. 

“It’s important to showcase the impact we are making from the Free State that leads to global outcomes,” he said.

The project aims to evaluate an evidence mapping framework to determine how model-based projections and social listening reports can be more effectively integrated and contextualised for policymaking.

“These are two very different data types,” he explained. “The value lies in demonstrating how to apply the framework to different contexts for evidence-based mapping.”

Dr Combrink brings extensive expertise to the team, having worked on both disease modelling and risk communication during South Africa’s COVID-19 response. He was involved in national and provincial social listening initiatives, and used high-frequency social media data to track the spread of misinformation, often referred to as the ‘infodemic.’ 

“We’ve built up enough data within ICDF and EMS to support this study,” he noted.

The goal is not just theoretical. A key outcome of the project is engaging directly with policymakers to refine modelling and risk communication strategies for future pandemics. 

“This will help us to engage with the various departments of health to assist with improving modelling and risk communication work for better social behavioural change,” he explained.

According to Prof Brownhilder Neneh, Vice-Dean for Research and Internationalisation in the EMS faculty, the project reflects the faculty’s growing global presence. 

“Dr Combrink’s participation is a testament to the calibre of scholarship within the faculty,” she said. “It positions EMS as a key contributor to shaping policy and practice with societal impact.”

She added that the collaboration aligns well with the faculty’s vision for global partnerships that are rooted in local relevance.

“By focusing on contextualised evidence for policymaking, this project reflects our commitment to relevance, engagement and global partnership,” she said.

 

What comes next

Over the project’s 12-month timeline, the team will deliver:

• a case study analysis of modelling and social listening during South Africa’s COVID-19 response;
• an extended evidence mapping framework tailored to diverse evidence types;
• policy briefs and practical tools for public health practitioners; and
• a hybrid international workshop in late 2025 bringing together researchers, policymakers and health professionals to test and refine these outputs.

News Archive

Dr Abdon Atangana cements his research globally by solving fractional calculus problem
2014-12-03

 

Dr Abdon Atangana

To publish 29 papers in respected international journals – and all of that in one year – is no mean feat. Postdoctoral researcher Abdon Atangana at the Institute for Groundwater Studies at the University of the Free State (UFS) reached this mark by October 2014, shortly before his 29th birthday.

His latest paper, ‘Modelling the Advancement of the Impurities and the Melted Oxygen concentration within the Scope of Fractional Calculus’, has been accepted for publication by the International Journal of Non-Linear Mechanics.

In previously-published research he solved a problem in the field of fractional calculus by introducing a fractional derivative called ‘Beta-derivative’ and its anti-derivative called ‘Atangana-Beta integral’, thereby cementing his research in this field.

Dr Atangana, originally from Cameroon, received his PhD in Geohydrology at the UFS in 2013. His research interests include:
• the theory of fractional calculus;
• modelling real world problems with fractional order derivatives;
• applications of fractional calculus;
• analytical methods for partial differential equations;
• analytical methods for ordinary differential equations;
• numerical methods for partial and ordinary differential equations; and
• iterative methods and uncertainties modelling.

Dr Atangana says that, “Applied mathematics can be regarded as the bridge between theory and practice. The use of mathematical tools for solving real world problems is as old as creation itself. As written in the book Genesis ‘And God saw the light, that it was good; and divided the light from the darkness’, the word division appears here as the well-known method of separation of variables, this method is usually employed to solve a class of linear partial differential equations”.

“A mathematical model is a depiction of a system using mathematical concepts and language. The procedure of developing a mathematical model is termed mathematical modelling. Mathematical models are used not only in natural sciences, but also in social sciences such as economics, psychology, sociology and political sciences. These models help to explain systems and to study the effects of different components, and to make predictions about behaviours.”

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept