Wimmy in the media

Press and posts about our impactful solutions

We find data-driven solutions for a variety of public and occupational health problems. These are sometimes featured in the media.

For interviews or more information, please contact us directly.

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Can algorithms detect noise-induced hearing loss better than humans?

Can algorithms detect noise-induced hearing loss better than humans?

A case study Noise-induced hearing loss (NIHL) is the second most common occupational disease in South Africa, after tuberculosis. This is a particular challenge for industries such as mining, where heavy equipment, rock drilling, and a confined work environment all...

Good pipeline, bad data – addressing data quality at source

Good pipeline, bad data – addressing data quality at source

As specialists in data analytics and model building in the health arena, ‘bad data’ is commonly found in our work, and detracts from these activities and reduces efficiency. In her article Good Pipeline, bad data, “How to start trusting data in your company, Barr...

Dr Wim Delva on 702

Dr Wim Delva on 702

Wimmy founder and co-director Professor Dr Wim Delva, talks to 702's Nickolaus Bauer about hearing loss and how to prevent it. Listen to the full interview here:

Using data science to fight hearing loss

Using data science to fight hearing loss

World Hearing Day was on the 3rd March and highlighted the common, debilitating, and preventable issue of noise-induced hearing loss, which affects many South Africans. Noise-induced hearing loss (NIHL) is the second most common occupational disease[1] in South...