Department of Computing and Engineering Sciences, Kenya Medical Research Institute, Nairobi, Kenya
Research Article
An Algorithm for Notifiable Disease Modeling and Prediction using Artificial Intelligence Techniques: A Case of Kenya
Author(s): Nicodemus Nzoka Maingi*, Ismail Ateya Lukandu and Matilu Mwau
Background: The disease outbreak management operations of most countries (notably Kenya)
present numerous novel ideas of how to best make use of notifiable disease data to effect proactive
interventions. Notifiable disease data is reported, aggregated and variously consumed. Over the
years, there has been a deluge of notifiable disease data and the challenge for notifiable disease data
management entities has been how to objectively and dynamically aggregate such data in a manner
such as to enable the efficient consumption to inform relevant mitigation measures. Various models
have been explored, tried and tested with varying results; some purely mathematical and statistical,
others quasi mathematical cum software model driven.
Methods: One of the tools that have been explored is Artificial Intelligence (AI). AI is a techn.. View More»
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