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08 April 2021 | Story Nonsindiso Qwabe | Photo Sonia SMall

How has COVID-19 further widened the gender inequality gap in the workplace?

This was the central question addressed during the first instalment of a webinar series on Gender and Social Justice hosted by the Unit for Institutional Change and Social Justice at the University of the Free State (UFS). The webinar, which was hosted on the UFS Qwaqwa Campus on 29 March 2021, featured Prof Pearl Sithole, Qwaqwa Campus Vice-Principal: Academic and Research; Advocate Nthabiseng Sepanya-Mogale, Commissioner at the Commission for Gender Equality (CGE); and Tholo Motaung, skills trainer, moderator, and gender activist at the Vaal University of Technology as panellists. 

Prof Sithole said COVID-19 revealed the disparity that still exists between men and women in the workplace. “COVID-19 has been the magnifier. We’ve modernised quite a lot, but we’re still unequal in terms of gender. Why are we not progressing in terms of women moving forward towards equality when there has been so much progressive thinking in the political space, social justice space, as well as in the kind of feminism we have had in academia? Why are we actually not winning the battle of just regarding each other as equals?” 

Women hardest hit by COVID-19 lockdown

Advocate Sepanya-Mogale said the lockdown revealed the gender gap mostly through the significant impact it has had on South African women.

In 2020, 34% of the country’s workforce comprised women – a sharp decline of 9,8% from 43,8% in 2018.
“This decline is alarming and a clear indication of who becomes the first victims, but that is hardly talked about. A lot of women have experienced resistance from industries they had been serving diligently,” she said. She said women were often faced with the burden of integrating their work with increased care responsibilities for their children and sometimes also the elderly as primary caregivers. The double responsibility placed on women continues to re-enforce gender roles in our societies and further pushes away the success of closing the gap on gender equality prospects in our society.

Advocate Sepanya-Mogale said women were the hardest hit in most industries. In the beauty and tourism industry; air transportation; informal trading; and healthcare sector to name a few, women bore the brunt the most. “Women are the biggest employees on all economic levels in South Africa, especially the low-income and unskilled levels,” she said.
She said as the spread of the virus was likely to continue disrupting economic activity, all sectors of society needed to get involved and play their part.

“As disease outbreaks are not likely to disappear in the near future, proactive international action is required to not only save lives but to also protect economic prosperity. Academic institutions are authorities in terms of opening up new discussions, leading new debates, and putting critical issues at the centre of the table. Let us all do what we can so that we empower our people relevantly for the times we’re living in.”

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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