Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities
Abstrak
Artificial Intelligence (AI) is revolutionizing various fields, including public health surveillance. In Africa, where health systems frequently encounter challenges such as limited resources, inadequate infrastructure, failed health information systems and a shortage of skilled health professionals, AI offers a transformative opportunity. This paper investigates the applications of AI in public health surveillance across the continent, presenting successful case studies and examining the benefits, opportunities, and challenges of implementing AI technologies in African healthcare settings. Our paper highlights AI's potential to enhance disease monitoring and health outcomes, and support effective public health interventions. The findings presented in the paper demonstrate that AI can significantly improve the accuracy and timeliness of disease detection and prediction, optimize resource allocation, and facilitate targeted public health strategies. Additionally, our paper identified key barriers to the widespread adoption of AI in African public health systems and proposed actionable recommendations to overcome these challenges.
Penulis (31)
Jean Marie Tshimula
Mitterrand Kalengayi
Dieumerci Makenga
Dorcas Lilonge
Marius Asumani
Déborah Madiya
Élie Nkuba Kalonji
Hugues Kanda
René Manassé Galekwa
Josias Kumbu
Hardy Mikese
Grace Tshimula
Jean Tshibangu Muabila
Christian N. Mayemba
D'Jeff K. Nkashama
Kalonji Kalala
Steve Ataky
Tighana Wenge Basele
Mbuyi Mukendi Didier
Selain K. Kasereka
Maximilien V. Dialufuma
Godwill Ilunga Wa Kumwita
Lionel Muyuku
Jean-Paul Kimpesa
Dominique Muteba
Aaron Aruna Abedi
Lambert Mukendi Ntobo
Gloria M. Bundutidi
Désiré Kulimba Mashinda
Emmanuel Kabengele Mpinga
Nathanaël M. Kasoro
Akses Cepat
- Tahun Terbit
- 2024
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓