Somalia's lifeline: Digitalization and AI

Area of Science:

• Public Health
• Health Informatics
• Epidemiology

Background:

• Somalia's health system is severely weakened by conflict and climate shocks.
• Low immunization coverage (55% national, 26% in some states) fuels preventable disease outbreaks, notably measles.
• Fragile infrastructure limits effective disease surveillance and response.

Purpose of the Study:

• To explore the potential of digitalization and artificial intelligence (AI) in strengthening Somalia's health system.
• To identify how digital health tools can improve disease surveillance, resource allocation, and primary healthcare delivery.
• To assess the feasibility and impact of AI in predicting and preventing disease outbreaks.

Main Methods:

• Review of existing digital health initiatives in Somalia, including electronic immunization registries and mobile health messaging.
• Analysis of AI applications for forecasting health trends, such as malnutrition, using climate and conflict data.
• Identification of barriers and opportunities for digital health implementation.

Main Results:

• Early digital health interventions, like electronic registries, have improved vaccination tracking and reduced dropout rates.
• AI models show promise in predicting health trends, with potential for measles outbreak forecasting.
• Mobile health messaging enhances communication between healthcare providers and caregivers.

Conclusions:

• Digitalization and AI are essential tools for enhancing Somalia's disease surveillance and response capabilities.
• Strategic investment in context-appropriate digital health is crucial for improving health security and preventing outbreaks.
• Addressing barriers like connectivity and the digital divide is vital for equitable access to digital health benefits.