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07 April 2021 | Story Rulanzen Martin | Photo istock
Social media discussions have provided a lens on how people are dealing with and talking about COVID-19. This has given risk communication new insights into online audiences.

The lingering effects of the COVID-19 pandemic on society presented the experts at the University of the Free State (UFS) with an opportunity – to conduct a scientific study by analysing our social media data in order to assist government health communicators to reflect on their communication strategies and, in turn, gain new perspectives from the general social media user (public). 

The study – led by Herkulaas Combrink, a data and medical scientist in the UFS initiative for Digital Futures, and Prof. Katinka de Wet, medical sociologist in both the UFS initiative for Digital Futures and the Department of Sociology at the UFS – uses “real-time snapshots of online interactions as a means to augment more traditional methods of conducting research on a given topic; in this case, responses to COVID-19”, said Combrink. 

The findings and ongoing work of the research project were presented to the Parliamentary Portfolio Committee on Communications. “During this meeting, critical engagement took place around risk communication and areas where we can strengthen this research,” said Combrink. Several international influential risk communicators on the African continent were present. 

Digital science at the forefront 

The opportunity to pursue this study was the result of Herkulaas Combrink’s secondment to the Free State Department of Health (FSDOH), where he identified the need to develop additional analytics for the already existing processes in risk communication in order to assist various communication strategies linked to developments regarding COVID-19 infections.  

Combrink also said “because the analysis of social media data does not normally form part of the traditional toolbox of investigation for this type of work, this novel application serves as an addition to the already existing communication analytics”. This research project will strengthen the level of cooperation between the UFS, other institutions, and the FSDOH to “synergistically strengthen communication strategies in relation to COVID-19”. 

By looking at how new knowledge around COVID-19 is developing the method (of analysing social media data), is to stay abreast of trending and burning issues on open-source social media platforms. “It is important to conduct this work using well-defined scientific methodology to extract, explore, analyse, and report on the data,” Combrink says. 

Given the rapidity with which new knowledge around COVID-19 is developing all over the globe, this method lends itself to staying abreast of emergent and burning issues that are trending on open-source social media sites. 

Variety of stakeholders needed

The magnitude of the research study required the involvement of stakeholders from different institutions. “A variety of stakeholders from different institutions are needed not only to contextualise the data, but also to provide social and technical input to solve the problem,” Combrink said.  

Experts included in the project are Dr Vukosi Marivate from the Department of Computer Science at the University of Pretoria, Dr Ming-Han Mothloung from the Department of Community Health at the UFS and the FSDOH, and Dr Samuel Mokoena, Priscilla Monyobo, Mondli Mvambi, and Elke de Witt from the FSDOH. “Without this core team, the work would not have been contextually relevant,” Combrink said. 

News Archive

Water erosion research help determine future of dams
2017-03-07

Description: Dr Jay le Roux Tags: Dr Jay le Roux

Dr Jay le Roux, one of 31 new NRF-rated
researchers at the University of the Free State,
aims for a higher rating from the NRF.
Photo: Rulanzen Martin

“This rating will motivate me to do more research, to improve outcomes, and to aim for a higher C-rating.” This was the response of Dr Jay le Roux, who was recently graded as an Y2-rated researcher by the National Research Foundation (NRF).

Dr Le Roux, senior lecturer in the Department of Geography at the University of the Free State (UFS), is one of 31 new NRF-rated researchers at the UFS. “This grading will make it possible to focus on more specific research during field research and to come in contact with other experts. Researchers are graded on their potential or contribution in their respective fields,” he said.

Research assess different techniques
His research on water erosion risk in South Africa (SA) is a methodological framework with three hierarchal levels presented. It was done in collaboration with the University of Pretoria (UP), Water Research Commission, Department of Agriculture, Forestry and Fisheries, and recently Rhodes University and the Department of Environmental Affairs. Dr Le Roux was registered for 5 years at UP, while working full-time for the Agricultural Research Council – Institute for Soil, Climate and Water (ARC-ISCW).

Water erosion risk assessment in South Africa: towards a methodological framework
, illustrates the most feasible erosion assessment techniques and input datasets that can be used to map water erosion features in SA. It also emphasises the simplicity required for application at a regional scale, with proper incorporation of the most important erosion-causal factors.

The main feature that distinguishes this approach from previous studies is the fact that this study interprets erosion features as individual sediment sources. Modelling the sediment yield contribution from gully erosion (also known as dongas) with emphasis on connectivity and sediment transport, can be considered as an important step towards the assessment of sediment produce at regional scale. 
 
Dams a pivotal element in river networks

Soil is an important, but limited natural resource in SA. Soil erosion not only involves loss of fertile topsoil and reduction of soil productivity, but is also coupled with serious off-site impacts related to increased mobilisation of sediment and delivery to rivers.

The siltation of dams is a big problem in SA, especially dams that are located in eroded catchment areas. Dr Le Roux recently developed a model to assess sediment yield contribution from gully erosion at a large catchment scale. “The Mzimvubu River Catchment is the only large river network in SA on record without a dam.” The flow and sediment yield in the catchment made it possible to estimate dam life expectancies on between 43 and 55 years for future dams in the area.
 
Future model to assess soil erosion
“I plan to finalise a soil erosion model that will determine the sediment yield of gully erosion on a bigger scale.” It will be useful to determine the lifespan of dams where gully erosion is a big problem. Two of his PhD students are currently working on project proposals to assess soil erosion with the help of remote sensing techniques.

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