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12 May 2020 | Story Andre Damons | Photo Pexels

A data scientist and research coordinator at the University of the Free State (UFS), in collaboration with his supervisor at the University of Pretoria (UP), is at the forefront of the fight against the Covid-19 virus with accurate data and analysis.
Herkulaas Combrink of the Centre for Teaching and Learning at the UFS and PhD candidate in Computer Science at the UP, said accurate data is important to prevent widespread panic and sensationalism during a global disaster such as the current pandemic. This information helps people to make informed decisions and to reduce their exposure to the threat of the virus.

Assisting decision-makers

“I, along with colleagues from the World Health Organization, the Centers for Disease Control and Prevention in the USA, the provincial office of the Centers for Disease Control and Prevention, provincial clinicians, and the Free State Department of Health led by Dr David Motau, have been able to progress significantly in terms of evidence-based tools to assist provincial and national decision-makers during these turbulent times.”
“It does come at a cost, though, in that we have worked continuously since the lockdown, dedicating all our time and efforts to the department from all over to ensure that we are not part of some of the global statistics we have seen,” said Combrink. 

A paper written together with his supervisor, Dr Vukosi Marivate, has also been accepted by the Department of Higher Education and Training (DHET)-accredited Data Science Journal.  This paper is related to a framework for sharing public data to the public in a way that is useful, usable, and understandable. 

Ongoing projects

Combrink said it is hard to name all those who are/were involved in the great work done by the Free State Department of Health, but some of them include Dr Elizabeth Reji (Head of Department, Family Medicine), Dr Collin Noel (surgeon, senior lecturer at the UFS), Dr Sammy Mokoena (community health registrar, UFS), Dr Ming-Han Motloung (public health medicine specialist, senior lecturer, UFS), Dr Perpetual Chikobvu (Director: Information Management at the Department of Health, affiliated lecturer at the UFS), as well as Alfred Deacon (lecturer at the UFS), who have worked at some point during this short space of time on one of the many projects. 

Some of the projects include the following:

• A provincial database for screening and monitoring.
• A data pipeline and assembly of hospital information flow, liaised with the NICD, Vodacom, and the different district managers to ensure that the pipeline occurs in a timely manner.
• Digitised paper-based capturing tools for rapid data capturing and processing.
• Incorporated state-of-the-art visualisation tools to action data into useful information for decision-makers in certain areas.
• Provided both provincial and national projections, stress testing different scenarios using a variety of statistical, computational, and/or machine-learning approaches to add to the already existing projections of the Council for Scientific and Industrial Research (CSIR).
• Training healthcare professionals in the field to apply these tools within their own districts.
No easy task

“These aforementioned feats were by no means easy and are not completed yet, but we are getting there. In the foreseeable future, I will be working closely with national and international researchers to deploy a tool for hospital managers in the Free State that will assist them when we move from level 5 to any level below.”

“In addition to this, I am constantly providing support to the Free State Department of Health regarding any analysis required for decision-making purposes. The teams we work in comprise highly competent individuals with a passion for solving problems from multidisciplinary perspectives,” according to Combrink.

News Archive

Inaugural lecture: Prof. Phillipe Burger
2007-11-26

 

Attending the lecture were, from the left: Prof. Tienie Crous (Dean of the Faculty of Economic and Management Sciences at the UFS), Prof. Phillipe Burger (Departmental Chairperson of the Department of Economics at the UFS), and Prof. Frederick Fourie (Rector and Vice-Chancellor of the UFS).
Photo: Stephen Collet

 
A summary of an inaugural lecture presented by Prof. Phillipe Burger on the topic: “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

South African business cycle shows reduction in volatility

Better monetary policy and improvements in the financial sector that place less liquidity constraints on individuals is one of the main reasons for the reduction in the volatility of the South African economy. The improvement in access to the financial sector also enables individuals to manage their debt better.

These are some of the findings in an analysis on the volatility of the South African business cycle done by Prof. Philippe Burger, Departmental Chairperson of the University of the Free State’s (UFS) Department of Economics.

Prof. Burger delivered his inaugural lecture last night (22 November 2007) on the Main Campus in Bloemfontein on the topic “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

In his lecture, Prof. Burger emphasised a few key aspects of the South African business cycle and indicated how it changed during the periods 1960-1976, 1976-1994 en 1994-2006.

With the Gross Domestic Product (GDP) as an indicator of the business cycle, the analysis identified the variables that showed the highest correlation with the GDP. During the periods 1976-1994 and 1994-2006, these included durable consumption, manufacturing investment, private sector investment, as well as investment in machinery and non-residential buildings. Other variables that also show a high correlation with the GDP are imports, non-durable consumption, investment in the financial services sector, investment by general government, as well as investment in residential buildings.

Prof. Burger’s analysis also shows that changes in durable consumption, investment in the manufacturing sector, investment in the private sector, as well as investment in non-residential buildings preceded changes in the GDP. If changes in a variable such as durable consumption precede changes in the GDP, it is an indication that durable consumption is one of the drivers of the business cycle. The up or down swing of durable consumption may, in other words, just as well contribute to an up or down swing in the business cycle.

A surprising finding of the analysis is the particularly strong role durable consumption has played in the business cycle since 1994. This finding is especially surprising due to the fact that durable consumption only constitutes about 12% of the total household consumption.

A further surprising finding is the particularly small role exports have been playing since 1960 as a driver of the business cycle. In South Africa it is still generally accepted that exports are one of the most important drivers of the business cycle. It is generally accepted that, should the business cycles of South Africa’s most important trade partners show an upward phase; these partners will purchase more from South Africa. This increase in exports will contribute to the South African economy moving upward. Prof. Burger’s analyses shows, however, that exports have generally never fulfil this role.

Over and above the identification of the drivers of the South African business cycle, Prof. Burger’s analysis also investigated the volatility of the business cycle.

When the periods 1976-1994 and 1994-2006 are compared, the analysis shows that the volatility of the business cycle has reduced since 1994 with more than half. The reduction in volatility can be traced to the reduction in the volatility of household consumption (especially durables and services), as well as a reduction in the volatility of investment in machinery, non-residential buildings and transport equipment. The last three coincide with the general reduction in the volatility of investment in the manufacturing sector. Investment in sectors such as electricity and transport (not to be confused with investment in transport equipment by various sectors) which are strongly dominated by the government, did not contribute to the decrease in volatility.

In his analysis, Prof. Burger supplies reasons for the reduction in volatility. One of the explanations is the reduction in the shocks affecting the economy – especially in the South African context. Another explanation is the application of an improved monetary policy by the South African Reserve Bank since the mid 1990’s. A third explanation is the better access to liquidity and credit since the mid 1990’s, which enables the better management of household finance and the absorption of financial shocks.

A further reason which contributed to the reduction in volatility in countries such as the United States of America’s business cycle is better inventory management. While the volatility of inventory in South Africa has also reduced there is, according to Prof. Burger, little proof that better inventory management contributed to the reduction in volatility of the GDP.

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