Health Data Sciences and Cardiovascular Disease in Africa: Needs and the Way Forward

Maha Inam, Sana Sheikh, Adeel Khoja, Amina Abubakar, Reena Shah, Zainab Samad, Anthony Ngugi, Farhana Alarakhiya, Akbar Waljee, Salim S. Virani

Research output: Contribution to journalReview articlepeer-review

Abstract

Purpose of Review: The rising burden of cardiovascular disease (CVD) in Africa is of great concern. Health data sciences is a rapidly developing field which has the potential to improve health outcomes, especially in low-middle income countries with burdened healthcare systems. We aim to explore the current CVD landscape in Africa, highlighting the importance of health data sciences in the region and identifying potential opportunities for application and growth by leveraging health data sciences to improve CVD outcomes. Recent findings: While there have been a number of initiatives aimed at developing health data sciences in Africa over the recent decades, the progress and growth are still in their early stages. Its maximum potential can be leveraged through adequate funding, advanced training programs, focused resource allocation, encouraging bidirectional international partnerships, instituting best ethical practices, and prioritizing data science health research in the region. Summary: The findings of this review explore the current landscape of CVD and highlight the potential benefits and utility of health data sciences to address CVD challenges in Africa. By understanding and overcoming the barriers associated with health data sciences training, research, and application in the region, focused initiatives can be developed to promote research and development. These efforts will allow policymakers to form informed, evidence-based frameworks for the prevention and management of CVDs, and ultimately result in improved CVD outcomes in the region.

Original languageEnglish
JournalCurrent Atherosclerosis Reports
DOIs
Publication statusAccepted/In press - 2024

Keywords

  • big data
  • cardiovascular disease
  • health data sciences
  • healthcare research
  • low-middle income countries

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