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27 November 2021

The Council of the University of the Free State (UFS) carefully considered and approved a vaccination policy for the institution during its meeting on 26 November 2021. 

The aim of the COVID-19 Regulations and Required Vaccination Policy is to regulate access of staff, ad hoc contract workers, and students to all the university’s premises. The policy will be implemented as from 14 February 2022.

“The policy implies that the university does not force anyone to be vaccinated, but the institution has the right to require vaccination if you want to access the institution’s premises in order to protect our staff and students,” said Prof Francis Petersen, UFS Rector and Vice-Chancellor.    

Fiduciary duty to ensure safe and caring environment

“The UFS is a residential university that requires face-to-face engagement by both staff and students, and operational requirements entail that our staff, ad hoc contract workers, and students are regularly exposed to large groups on the three campuses. We have a fiduciary duty to ensure a safe and caring environment and to meet the health and safety obligations on the campuses,” said Prof Petersen. 

Since March 2020 and within the national lockdown levels, the institution has followed a predominantly online emergency-remote learning-and-teaching programme with a minimalistic approach to the return of staff and students to campus. Where possible and within the national lockdown levels, staff members have been working from home, except essential service employees and academic staff that were required to support students studying on campus in carefully managed face-to-face classes/interactions.  

“The viability of consistent remote working and study conditions is not in line with the culture and strategy of the UFS. Although a blended learning approach is supported, sole online learning will be detrimental to the quality of our graduates and the experience that the institution should offer to its students as a residential university,” said Prof Petersen.

Encouraging university community to vaccinate

The institution is greatly concerned about the number of staff, students, and ad hoc contract workers who have tested positive for COVID-19 since the commencement of the national lockdown. The pandemic has resulted in numerous individuals being placed in quarantine, testing positive or being incapacitated due to COVID-19 complications and deaths. “We believe that the policy will be a contributing factor in encouraging the entire university community to make the responsible decision to vaccinate,” said Prof Petersen.

Although the policy does not force anyone to vaccinate, it is aimed at restricting campus access to vaccinated persons, while at the same time considering applications for exemption based on medical and religious grounds, natural immunity objections, other legally acceptable exemptions, or those participating in clinical trials approved by the South African Health Products Regulatory Authority (SAHPRA). Employee and Student Vaccination Exemption Committees will evaluate applications for exemption. These committees will operate independently, and will include medical, religious, legal and psychology experts.

Vaccinated persons will be required to upload their vaccination certificates on an electronic platform to obtain access to campus. Staff, ad hoc contract workers, and students who are not vaccinated, who do not have an approved exemption or deferral, and who do not have a SARS COVID-19 PCR negative result that is not older than a week, will not be allowed access to the campuses or facilities. Only vaccinated students will be allowed to access on-campus accommodation. 

Students who are not vaccinated by 14 February 2022, will not be prevented from registering for the academic year, but can only access the campus if vaccinated or granted an exemption. 

Consultation process and thorough risk assessment

“The development of the policy was consulted widely with relevant internal stakeholders, among others, the university’s Senate, supporting it with an overwhelming 84%. The university also followed due process by referring the proposed policy to all its governance structures for consultation – including obtaining opinions from reputable legal firms in the country,” said Prof Petersen. 

According to Prof Petersen, the UFS has conducted a thorough risk assessment of the implementation of the policy, and a contingency plan is in place that will be implemented in the absence of full implementation of the policy. “We will consider following a flexible approach if we initially find that the rate of vaccinations is low. We will work tirelessly with government to accelerate the rate of vaccinations with the ultimate goal to obtain a high enough level of vaccinations to limit the transmission of the COVID-19 virus and create a safe work and study environment for our staff and students,” he said. 

VIEW the Roads to Return to Campus 2022 Infographic here



Released by:
Lacea Loader (Director: Communication and Marketing)
Telephone: +27 51 401 2584 | +27 83 645 2454
Email: news@ufs.ac.za | loaderl@ufs.ac.za

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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