Machine Learning And Public Health Policies For Climate Migrants: Africa And Eu Perspectives

Abstract

Environmental stressors, including floods, droughts, and rising sea levels, are progressively influencing global migration trends, with a notable impact in Sub-Saharan Africa. Health systems, particularly in Africa and the European Union (EU), are insufficiently equipped to meet the complex healthcare needs of climate migrants. Existing policies often lack integration of advanced technological solutions, such as machine learning (ML), which could offer transformative potential for improving healthcare access and outcomes for climate migrants. The primary problem addressed in this study is the gap in utilizing ML to enhance public health policies for climate migrants, focusing on data collection, real-time decision-making, and service delivery adaptation. This study employs a qualitative approach, conducting a comprehensive review of existing literature and case studies across Africa and the EU. The research explores how ML can address gaps in public health systems, particularly in managing migration flows and health risks, by analysing current policy frameworks and identifying opportunities for integrating ML-based solutions. The findings reveal that ML can significantly enhance healthcare systems by improving data analysis, facilitating resource allocation, and predicting health risks associated with climate migration. Moreover, there is a notable opportunity for cross-regional collaboration between Africa and the EU in leveraging ML for more responsive and adaptive health systems. The study recommends the integration of ML into public health policies, advocating for the development of data-driven, real-time decision-making frameworks. It calls for fostering international cooperation and knowledge-sharing to maximize ML's potential in addressing shared migration challenges. The study concludes that, integrating ML into public health frameworks is essential for effectively addressing the growing challenges posed by climate migration, ensuring that health systems are both responsive and adaptive to the evolving needs of climate migrants.