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01 April 2021 | Story Andre Damons | Photo istock
The Easter weekend runs the risk of being a major catalyst for the third wave and people’s behaviour will be the primary driver of transmission for the third wave.

Similar trends as during the festive season of 2020 – when the behaviour of people was driving COVID-19 transmissions and played a role in the second wave – have emerged due to the Easter holidays, and may contribute to a third wave. 
“This means that we can already anticipate gatherings and a higher rate of travel during the next three weeks. As a result of this as well as non-adherence to the non-pharmaceutical interventions, we can anticipate this event to serve as a catalyst for transmission.” 

“If nothing is done to prevent this, it is anticipated that the Free State will see a steady increase and a potential third wave between 17 April and 26 June,” says Herkulaas Combrink, the interim Director of the UFS Initiatives for Digital Futures and PhD candidate in Computer Science at the University of Pretoria (UP).

The Easter weekend runs the risk of being a major catalyst for the third wave

According to him, the vulnerability and population density dynamics in each province, the behaviour of people, and the social norms between communities must be taken into consideration to contextualise the impact of Easter on disease transmission – especially when looking at SARS-CoV-2.

For the Free State, the Easter weekend runs the risk of being a major catalyst that will lead up to the third wave, says Combrink. “If no interventions are put in place and people do not adhere to non-pharmaceutical interventions to mitigate the spread of the disease, then we will see a steady climb and increase in cases up until that time. This means that the behaviour of people will be the primary driver of transmission for the third wave.”

Reducing the severity of the third wave

According to Combrink, who is involved in risk communication and vaccine analytics with other members of the UFS, we may be able to reduce the severity of the third wave if the variant remains the same and the vaccination roll-out plan is in full effect. It will also help if the correct number of people are vaccinated, the general population adheres to PPE and mitigation strategies, and people practise the appropriate behaviour as indicated in all official COVID-19 communication, including the UFS COVID-19 information page.  

According to Prof Felicity Burt and Dr Sabeehah Vawda, both virology experts in the UFS Division of Virology, the current vaccination programme is aimed at reducing the severity of the disease among health-care workers. Prevention of further waves of infection through vaccination will require sufficient coverage to induce at least 70% herd immunity in the country. Currently, no country has achieved that level of herd immunity through vaccine programmes – this is the long-term goal of vaccination. 

“Irrespective of the government’s vaccination programmes and schedules and a virus that may mutate and perhaps become more virulent, the fundamental ways to protect yourself remain unchanged, namely social distancing, wearing of masks, and regular hand washing. People need to realise that this ‘new normal’ is going to be with us for a while and remains the best defence against all SARS-CoV-2 viruses and even provides protection against other respiratory pathogens.”

Vaccines and mutations

The exact frequency of mutations differs between different types of viruses, but generally, SARS-CoV-2 is known to have a slower ‘mutation rate’ than other RNA viruses because of its built-in ‘proofreading’ enzyme. The true mutation rate of a virus is difficult to measure, as the majority of mutations will be lethal to the virus. Irrespective, very few have actually resulted in clinical impact. 

“This highlights the rather gradual process of mutation, so vaccines should remain effective or at least partially effective in the near future, as they elicit antibodies that target different parts of the virus. Continuous surveillance of SARS-CoV-2 is necessary and ongoing to monitor for changes that may impact vaccines and diagnostic tests,” the experts say.

According to Prof Burt and Dr Vawda, scientists are continuously monitoring the situation to detect if the current vaccines would remain effective and to try to adjust them accordingly. How or when the virus will mutate in a clinically significant way is unknown, so at this point, the current vaccines have been shown to be effective against severe disease and hence have application in reducing significant disease. 

“There remains a lot unknown about the extent of protection and the duration of protection, and it is obviously hoped that the vaccine’s immune response in the human body would be able to provide at least some protection or decrease the possibility of severe disease even against potentially newer variants.”

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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