<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/24bd2f7ed8654ba3998c35738ce697af&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/24bd2f7ed8654ba3998c35738ce697af-5272304f37728c5c.gif</thumbnail_url><duration>204.451</duration><title>AI-DRIVEN PREDICTIVE MODE FOR WATERBORNE DISEASE OUTBREAKS IN NAIROBI</title><description>Hi, I&apos;m Eric Logan presenting my research on the Hydriven predictive model for waterborne diseases outbreaks in Nairobi. The video covers the introduction, purpose, methods, results, discussion, and suggestions related to the study. The research aims to develop an AI-based predictive model to forecast waterborne diseases outbreaks in vulnerable urban areas for enhancing early intervention strategies. Important data on the model&apos;s performance and potential impact on reducing reported cases are discussed. No specific action is requested from viewers.</description></oembed>