Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
30 April 2025 | Story Leonie Bolleurs | Photo Supplied
Dr Palesa Mohajane
Dr Palesa Mohajane, scientist production at the Department of Water and Sanitation, received her PhD from the UFS for her research on the impact of pandemic-related burials on groundwater quality.

Dr Palesa Mohajane, a scientist production at the Department of Water and Sanitation in Hartbeespoort, was recently awarded her doctoral degree at the University of the Free State’s (UFS) autumn graduation ceremony. Her thesis, titled Modelling the effect of pandemic-induced burials on groundwater contamination: a hydrogeological and epidemiological assessment, looks at the impact of increased burial rates on groundwater quality.

 

Safeguarding groundwater resources

Dr Mohajane explains that witnessing the dramatic rise in burial rates during the COVID-19 pandemic – including instances of mass burials – and the resulting strain on cemeteries, raised concerns about the potential risk of groundwater contamination. This became a motivator for her research.

Her study bridges the gap between environmental science and epidemiology, developing tools to predict how disease outbreaks and related deaths can impact groundwater systems. “By focusing on this intersection, the study contributes knowledge that informs not only responsible cemetery management, but also the protection of groundwater resources important to public health,” she says.

Dr Mohajane highlights the environmental risks that come with an increase in burial activity during pandemics. “When death rates rise sharply, cemeteries experience a surge in burials, which accelerates decomposition within confined spaces. As bodies decompose, they release organic and inorganic pollutants, which can seep through geological layers and affect groundwater quality.”

She notes that if cemeteries are established without proper hydrogeological assessments, these substances can infiltrate the soil and contaminate water sources, posing a threat to both environmental and human health.

 

Using advanced tools to predict groundwater pollution

Dr Mohajane conducted her research during the post-pandemic period when the longer-term environmental effects of COVID-19-related burial practices began to surface. “Groundwater sampling and quality testing were conducted between September 2023 and January 2024. This period provided a suitable time frame to monitor contaminant release and assess the hydrochemical effects of the burial practices,” she explains.

Langberg Cemetery was selected as a case study due to its representative geological and human-made characteristics, making it a strong candidate for validating the research models. “This site allowed for real-world testing of the mathematical models and simulations, offering important insights into how contaminants move through soil and rock layers and impact groundwater,” says Dr Mohajane.

Her findings revealed that groundwater contamination is influenced by multiple interacting factors – including burial depth, body mass, and geological features. She explains that shallower burials allow pollutants to reach the water table more rapidly, while deeper burials may delay but not prevent eventual leaching. Larger body masses produce more decomposing material, increasing the number of pollutants released. Geological conditions such as fractures and varied rock formations also play a role in the spread of contaminants.

Dr Mohajane’s work has serious implications for both public health and water sustainability. The presence of elevated levels of total dissolved solids, electrical conductivity, specific ions, alkalinity, and mineralisation indicates potential health hazards. As groundwater is an important source of drinking water, she stresses the urgency of addressing these risks. “We need to use advanced tools to predict and prevent groundwater pollution before it occurs. With proper water management systems, we can reduce the environmental impact of pandemics,” she says.

She also emphasises the importance of continuous monitoring to detect pollutant levels that exceed safety limits. “Improving burial practices – including thorough geological assessments before establishing cemeteries and optimising burial depths – can help reduce contaminant migration. These measures are important to protect community water resources,” she adds.

 

Measures to protect groundwater and public health

Dr Mohajane’s research proposes a range of practical measures to safeguard groundwater and public health. Cemeteries should only be developed after detailed geological evaluations, and clear regulations must guide cemetery design to manage increased burial needs during pandemics. Regular water quality monitoring using modern detection tools is key, along with the inclusion of environmental assessments in public health planning.

“These policy measures, if adopted at both regional and national levels, can help to reduce the risk of groundwater pollution and support long-term public health,” she says.

Ultimately, this research supports South Africa’s efforts to protect its groundwater by encouraging collaboration between scientists and policy makers. It offers predictive tools, evidence-based guidelines for sustainable cemetery management, and highlights how scientific research can shape practical, effective policies. The goal is to ensure that groundwater remains a safe and secure resource during future public health and environmental crises.

News Archive

Fight against Ebola virus requires more research
2014-10-22

 

Dr Abdon Atangana
Photo: Ifa Tshishonge
Dr Abdon Atangana, a postdoctoral researcher in the Institute for Groundwater Studies at the University of the Free State (UFS), wrote an article related to the Ebola virus: Modelling the Ebola haemorrhagic fever with the beta-derivative: Deathly infection disease in West African countries.

“The filoviruses belong to a virus family named filoviridae. This virus can cause unembellished haemorrhagic fever in humans and nonhuman monkeys. In literature, only two members of this virus family have been mentioned, namely the Marburg virus and the Ebola virus. However, so far only five species of the Ebola virus have been identified, including:  Ivory Coast, Sudan, Zaire, Reston and Bundibugyo.

“Among these families, the Ebola virus is the only member of the Zaire Ebola virus species and also the most dangerous, being responsible for the largest number of outbreaks.

“Ebola is an unusual, but fatal virus that causes bleeding inside and outside the body. As the virus spreads through the body, it damages the immune system and organs. Ultimately, it causes the blood-clotting levels in cells to drop. This leads to severe, uncontrollable bleeding.

Since all physical problems can be modelled via mathematical equation, Dr Atangana aimed in his research (the paper was published in BioMed Research International with impact factor 2.701) to analyse the spread of this deadly disease using mathematical equations. We shall propose a model underpinning the spread of this disease in a given Sub-Saharan African country,” he said.

The mathematical equations are used to predict the future behaviour of the disease, especially the spread of the disease among the targeted population. These mathematical equations are called differential equation and are only using the concept of rate of change over time.

However, there is several definitions for derivative, and the choice of the derivative used for such a model is very important, because the more accurate the model, the better results will be obtained.  The classical derivative describes the change of rate, but it is an approximation of the real velocity of the object under study. The beta derivative is the modification of the classical derivative that takes into account the time scale and also has a new parameter that can be considered as the fractional order.  

“I have used the beta derivative to model the spread of the fatal disease called Ebola, which has killed many people in the West African countries, including Nigeria, Sierra Leone, Guinea and Liberia, since December 2013,” he said.

The constructed mathematical equations were called Atangana’s Beta Ebola System of Equations (ABESE). “We did the investigation of the stable endemic points and presented the Eigen-Values using the Jacobian method. The homotopy decomposition method was used to solve the resulted system of equations. The convergence of the method was presented and some numerical simulations were done for different values of beta.

“The simulations showed that our model is more realistic for all betas less than 0.5.  The model revealed that, if there were no recovery precaution for a given population in a West African country, the entire population of that country would all die in a very short period of time, even if the total number of the infected population is very small.  In simple terms, the prediction revealed a fast spread of the virus among the targeted population. These results can be used to educate and inform people about the rapid spread of the deadly disease,” he said.

The spread of Ebola among people only occurs through direct contact with the blood or body fluids of a person after symptoms have developed. Body fluid that may contain the Ebola virus includes saliva, mucus, vomit, faeces, sweat, tears, breast milk, urine and semen. Entry points include the nose, mouth, eyes, open wounds, cuts and abrasions. Note should be taken that contact with objects contaminated by the virus, particularly needles and syringes, may also transmit the infection.

“Based on the predictions in this paper, we are calling on more research regarding this disease; in particular, we are calling on researchers to pay attention to finding an efficient cure or more effective prevention, to reduce the risk of contamination,” Dr Atangana said.


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