The Use of AI in Predicting Disease Outbreaks

 Kamanzi Ntakirutimana G.

School of Natural and Applied Sciences Kampala International University Uganda

ABSTRACT

The rapid and unpredictable emergence of infectious diseases continues to pose a significant threat to global health, necessitating more advanced prediction and prevention strategies. The use of Artificial Intelligence (AI) in predicting disease outbreaks has emerged as a powerful tool to navigate the complex biological, environmental, and sociological factors contributing to these outbreaks. AI models, particularly those leveraging machine learning, can analyze vast datasets, detect patterns, and predict the spread of diseases with improved accuracy compared to traditional methods. This paper examines the role of AI in early disease outbreak prediction, current prediction methodologies, and the applications of AI in outbreak forecasting, while also discussing the challenges and limitations associated with AI-driven models.

Keywords: Artificial Intelligence, disease outbreaks, machine learning, epidemic prediction, big data analytics.

CITE AS: Kamanzi Ntakirutimana G. (2024). The Use of AI in Predicting Disease Outbreaks. Research Output Journal of Biological and Applied Science 4(2):19-22. https://doi.org/10.59298/ROJBAS/2024/421922