When Fati Mahama, Deputy Chief Midwifery Officer at Tamale Central Hospital, realized there were too many stillbirths happening in her community, she wanted to do something about it. With USAID support, a Whatsapp group facilitates referrals between facilities, which is ensuring mothers reach care in a timely manner. Fati named the group “Zero Stillbirths” to highlight their goal. Tamale, Ghana. Credit: Amy Cotter Fowler for USAID
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Health experts are raising alarm over the rapid rise of chronic diseases such as diabetes, stroke, and obesity across Africa, warning that without urgent investment in data systems and skills training, the continent risks falling further behind in disease prevention and treatment.

Speaking at the Data Science in Health (DS-I) meeting in Accra, researchers emphasized the need to tailor treatments to individual patient profiles and close skills gaps in order to strengthen disease prediction, prevention, and drug discovery.

“We have a diverse range of topics ranging from governance to drug discovery to nutrition to environmental health and climate change. The bottom line is that our findings are going to help drive innovations and unearth health discoveries on the continent,” he noted.

Professor Kofi Amegah, a Professor of Environmental and Nutritional Epidemiology at the University of Cape Coast, stressed that harnessing data could transform health delivery across the continent. He, however, cautioned that poor data quality, limited access, and funding constraints continue to impede progress.

When Fati Mahama, Deputy Chief Midwifery Officer at Tamale Central Hospital, realized there were too many stillbirths happening in her community, she wanted to do something about it. With USAID support, a Whatsapp group facilitates referrals between facilities, which is ensuring mothers reach care in a timely manner. Fati named the group “Zero Stillbirths” to highlight their goal. Tamale, Ghana. Credit: Amy Cotter Fowler for USAID

“Data quality, access, and funding challenges have always been the big elephant in the room. These are the things that, if we want to leverage data science to improve health on the continent, governments will have to sit up, look at, and address,” he explained.

The DS-I discussions are part of a wider push to expand the role of artificial intelligence in healthcare, linking research institutions, universities, and health organizations in a collaborative effort to improve outcomes.

Professor Mayowa Owolabi, Director of the Center for Genomic and Precision Medicine at the University of Ibadan, urged African governments to embed data science into health policy, particularly to track and manage chronic diseases. He also described the withdrawal of USAID support as a significant setback for health initiatives on the continent.

“For the key non-communicable diseases like cardiovascular conditions, type 2 diabetes, and cancer, not much has been done. They’ve not been funded sufficiently to provide solutions that can reduce the burden. Right now, non-communicable diseases, particularly cardiovascular diseases, are the leading cause of death and disability on the African continent,” he warned.

As part of its roadmap, the Data Science in Health project aims to publish 18 manuscripts in leading journals and produce policy briefs for health ministries, the World Health Organization, and other key stakeholders.

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