Machine Learning for Early Disease Outbreak Detection in the United States: An Integrative Systematic Review of Multisource Data Integration
Akinyemi Sadeeq Akintola, Prosper Aimé Tchoumo, Habeeb Abdulrauf, Okonkwo Emmanuella & Ayeoribe Abiodun Olorunfemi · International Journal of TROPICAL DISEASE & Health · 2025
Early detection of outbreaks is predicated on rapid response, yet this process is hindered by delayed and fragmented surveillance. The objective of this study is to evaluate the landscape, performance, and implementation readiness of machine-learning (ML) models for early outbrea...
Open access
Research Article
10.9734/ijtdh/2025/v46i101694