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13 October 2020 | Story Lacea Loader

The Free State is currently one of the provinces in the country with the highest percentage of new tests that turn out positive for COVID-19. This also impacts on the staff and students at the University of the Free State (UFS), as the number of positive cases on the campuses has increased considerably during the past few weeks.  

The UFS experienced an increase of 47% in the number of students who tested positive from Level 2 of the national lockdown to Level 1. During the past few days, an increase of 21% in positive student cases has been experienced. In the case of staff, an increase of 34% in the number who tested positive occurred from Level 2 of the national lockdown to Level 1. Over  the past few days, an increase of 11% in positive cases has been experienced.

1. Adherence to national protocols and regulations

The safety, health, and well-being of staff and students remain a priority. Therefore, the university management is concerned about the rise in positive cases on the campuses and appeals to staff to adhere to the national protocols and regulations issued by the Ministers of Cooperative Governance and Traditional Affairs, Employment and Labour, Higher Education, Science and Innovation, and Health.   

It is important to note that non-adherence to certain of the national protocols and regulations is a criminal offence and is punishable by a fine or imprisonment of up to six months. By not adhering to national protocols and regulations, our staff is not only putting their own health at risk, but also the health of others.

2. Behaviour observed on campus  

The following behaviour has been observed among staff working on campus:
- Not adhering to social/physical distancing of 2 metres;
- Face-to-face contact without wearing masks (e.g. in boardrooms and tearooms, visiting each other in offices, etc);
- Not wearing a mask while moving on campus, as well as in buildings (except in the privacy of offices);
- Dishonesty during the screening process; and
- Non-compliance with isolation and quarantine guidelines.
Staff members are reminded that they may face disciplinary action if they do not adhere to the national COVID-19 protocols and regulations as issued by the different ministers. It is important that staff members be honest at all times during the screening process, as it has been observed that some staff members display some COVID-19-related symptoms but answer in the negative on the online screening app.

3. Reporting of positive COVID-19 cases
In terms of the directives issued by the Minister of Employment and Labour, the Minister of Health, and the Minister of Higher Education, Science and Innovation, the UFS is required to report all COVID-19 positive cases to the Department of Labour, the Department of Health, and the Department of Higher Education and Training.  All COVID-19 positive cases must thus be reported directly to the Senior Director: Human Resources (vjaarsj@ufs.ac.za) and Kovsie Health (johnr@ufs.ac.za) for further handling and reporting to the relevant government departments.

Please do not come to the campuses if you are experiencing any COVID-19-related symptoms and get tested as soon as possible.

Those staff members who test positive will receive the necessary advice from their medical practitioners and they can also contact Kovsie Health for assistance.


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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