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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

Stochastic Modelling for Reliability from Russia
2013-12-20

 

 Prof Maxim (MS) Finkelstein’s
The Russian professor first visited our university in 1993 and loved the environment. For the last 15 years we were fortunate to have had a man of Prof Maxim (MS) Finkelstein’s (65) stature as part of our Department of Mathematical Statistics.

“I like the atmosphere, the environment and the people of the UFS,” says Prof Finkelstein. “The UFS is a real campus, not part of the city as a lot of other universities in South Africa.”

Prof Finkelstein completed his MSc in Mathematical Physics from the Leningrad State University in the USSR in 1971. Maths and Physics have been a passion of his since a young age. In 1979, Prof Finkelstein completed his PhD in Mathematical Theory of Reliability at Leningrad Elektropribor Institute. Before his career at our university, Prof Finkelstein was a Senior Researcher at St. Petersburg Elektropribor Institute and an Associate Professor at Leningrad Technological Institute.

His long list of publications includes over 170 papers and five books. His monograph Failure Rate Modelling for Reliability and Risk was published by Springer in 2008. More recently another monograph – which was co-authored with JH Cha – was published by Springer in April 2013 and is called Stochastic Modelling for Reliability: Shocks, Burn-in, and Heterogeneous Populations.

Prof Finkelstein’s research interests include mathematical theory of reliability, survival analysis, risk and safety modelling, stochastic processes and stochastics in demography. When asked about leisure and life outside of research, the devoted academic’s response was as follows…

“To have publications, you have to work all the time. I work half of Saturdays and most of Sundays,” Prof Finkelstein says. “I spend three months a year in Russia and Germany – mostly during the European summer – for my research.”
“But apart from that, I like reading – classical Russian authors mostly. I swim in the UFS’s swimming pool almost every day and I play tennis as well.”

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