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12 October 2020 | Story Leonie Bolleurs | Photo Supplied
Adriaan van der Walt
Although several international studies have used temperature metrics to statistically classify their seasonal divisions, a study in which Adriaan van der Walt was involved, would be the first known publication in a South African context using temperature as classification metric.

Gone are the days when we as South Africans would experience a three-month spring season, easing into summer, and then cooling off for three months before we hit winter.

Adriaan van der Walt, Lecturer in the Department of Geography at the University of the Free State (UFS), focuses his research on biometeorology (a specialist discipline exploring the role and climate change in physical and human environments) as well as climatology and geographic information systems.

He recently published an article: ‘Statistical classification of South African seasonal divisions on the basis of daily temperature data’ in the South African Journal of Science.

In this study, which Van der Walt undertook with Jennifer Fitchett, a colleague from the University of the Witwatersrand, data on daily maximum and minimum temperatures was collected from 35 meteorological stations of the South African Weather Service, covering the period between 1980 and 2015.

They went to great lengths to ensure that they had a complete set of data before presenting it to demonstrate seasonal brackets.

First for South Africa

Their statistical seasonal brackets indicate that South Africans now experience longer summers (from October to March), autumn in April and May, winter from June to August, and spring in September.

Although considerable work has been done using rainfall to determine seasonality in Southern Africa, Van der Walt believes that these methods did not work well as there are too many inconsistencies in this approach, as identified by Roffe et al. (2019, South African Geographical Journal). To make matters more complicated – as a semi-arid region, and with desert conditions along the west coast – some regions do not have enough rainfall to use as a classifier.

Temperature, on the other hand, worked well in this study. “Temperature, by contrast, is a continuous variable, and in Southern Africa has sufficient seasonal variation to allow for successful classification,” says Van der Walt.

He continues: “Although several international studies used temperature metrics to statistically classify their seasonal divisions, this study would be the first known publication in a South African context using temperature as classification metric.”

Van der Walt says what we understand as seasons largely relates to phenology – the appearance of blossoms in spring, the colouration and fall of leaves in autumn, and the migration of birds as a few examples. “These phenological shifts are more sensitive to temperature than other climatic variables.”

Seasonal brackets

According to Van der Walt, they believe that a clearly defined and communicated method should be used in defining seasons, rather than just assigning months to seasons.

“One of the most important arguments of our work is that one needs to critically consider breaks in seasons, rather than arbitrarily placing months into seasons, and so we welcome any alternate approaches,” he says.

A number of sectors apply the temperature-based division to their benefit. “For example, in the tourism sector it is becoming increasingly important to align advertising with the season most climatically suitable for tourism,” says Van der Walt.

Temperature-based division is also used to develop adaptive strategies to monitor seasonal changes in temperature under climate change. However, Van der Walt points out that each sector will have its own way of defining seasons. “Seasonal boundaries should nevertheless be clearly communicated with the logic behind them,” he says.

News Archive

Fighting the tuberculosis battle as a collective
2015-09-28



The team hard at work making South Africa a
healthier place

Tuberculosis (TB) is second only to HIV/AIDS as the greatest killer worldwide due to a single infectious agent. More than 95% of TB deaths occur in low- and middle-income countries. Despite being more prevalent among men than women, TB remains one of the top five causes of death amongst women between the ages of 15 and 44 years. While everyone is at risk for contracting TB, those most at risk include children under the age of five and the elderly. In addition, research indicates that individuals with compromised immune systems, household contacts with pulmonary TB patients, and healthcare workers are also at increased risk for contracting TB.

According to the Deputy Director of the Centre for Health Systems Research and Development (CHSR&D) at the UFS, Dr Michelle Engelbrecht, research has found that healthcare workers may be three times more likely to be infected by TB than the general population.

The unsettling fact

“Research done in health facilities in South Africa has found that nurses do not often participate in basic prevention acts, such as opening windows and wearing respirators when attending to infectious TB patients,” she explained. 

In response to this concern, CHSR&D, which operates within the Faculty of Humanities at the the University of the Free State (UFS) Bloemfontein Campus has developed a research project to investigate TB prevention and infection control in primary healthcare facilities and households in Mangaung Metropolitan.

Action to counter the statistics

A team of four researchers and eight field workers from CHSR&D are in the process of gathering baseline data from the 41 primary healthcare facilities in Mangaung. The baseline comprises a facility assessment conducted with the TB nurse, and observations at each of the facilities. Individual interviews are also conducted with community caregivers, as well as TB and general patients. Self-administered questionnaires on knowledge, attitudes, and practices about TB infection control are completed by all nurses and facility-based community caregivers.

Healthcare workers are the main focus of this research, given their increased risk of acquiring TB in healthcare settings. At clinics, interventions will be developed to improve infection control practices by both healthcare workers and patients. TB patients’ households are also visited to screen household contacts for TB. Those found to have symptoms suggesting TB infection are referred to the clinics for further assessment and treatment.

The findings of this study will serve to inform the development of an intervention to address TB prevention and infection control in primary healthcare facilities. Further funding will be sought to implement and evaluate the intervention.

Curbing future infections and subsequent deaths as a result of TB is the priority for the UFS. The cooperation and collaboration of the community, government, and sponsors will ensure that this project is a success, hence prolonging life expectancy.


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