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<p>Artificial intelligence (AI) is emerging as a transformative force in public health, with applications in predictive analytics, outbreak management, and resource optimization offering new capabilities for health systems worldwide. However, fragile and conflict-affected settings (FCS) face unique challenges in adopting these technologies. This perspective examines the role of AI in strengthening infectious disease preparedness in Somalia, one of the world’s most fragile health systems. We outline context-appropriate applications, barriers, and a phased adoption pathway. This paper provides forward-looking insights rather than empirical findings. By enabling earlier detection, strengthening surveillance, and supporting more efficient resource allocation, AI could contribute to improved health security in Somalia. Achieving this requires strategic investment in digital infrastructure, capacity building, and governance. This paper contributes to the literature on AI in global health by providing insights from one of the world’s most challenging humanitarian environments.</p>

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Leveraging artificial intelligence to strengthen public health emergency preparedness and response for infectious disease outbreaks in Somalia

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月22日

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  • Abdullahi Ahmed Tahlil,
  • Hassan Sheikh Ahmed,
  • Ibrahim Mohamed Nur,
  • Sahro Isse Mohamed,
  • Mohamed Abdelrahman Mohamed,
  • Abdirizak Yusuf Ahmed,
  • Saadaq Adan Hussein,
  • Kasim Mahdi Sultan,
  • Abdirahman Khalif Mohamud,
  • Ahmed Abdi Ismail,
  • Ahmed Dahir,
  • Abdinasir Yusuf Osman,
  • Mohamed Ali Kamil,
  • Mohamed Hassan Mohamed,
  • Ali Haji Adam

摘要

Artificial intelligence (AI) is emerging as a transformative force in public health, with applications in predictive analytics, outbreak management, and resource optimization offering new capabilities for health systems worldwide. However, fragile and conflict-affected settings (FCS) face unique challenges in adopting these technologies. This perspective examines the role of AI in strengthening infectious disease preparedness in Somalia, one of the world’s most fragile health systems. We outline context-appropriate applications, barriers, and a phased adoption pathway. This paper provides forward-looking insights rather than empirical findings. By enabling earlier detection, strengthening surveillance, and supporting more efficient resource allocation, AI could contribute to improved health security in Somalia. Achieving this requires strategic investment in digital infrastructure, capacity building, and governance. This paper contributes to the literature on AI in global health by providing insights from one of the world’s most challenging humanitarian environments.