Analytics for Investigation of Disease Outbreaks: Web-Based Analytics Facilitating Situational Awareness in Unfolding Disease Outbreaks.

Nileena Velappan Ashlynn Rae Daughton Geoffrey Fairchild William Earl Rosenberger Nicholas Generous Maneesha Elizabeth Chitanvis Forest Michael Altherr Lauren A Castro Reid Priedhorsky Esteban Luis Abeyta Leslie A Naranjo Attelia Dawn Hollander Grace Vuyisich Antonietta Maria Lillo Emily Kathryn Cloyd Ashvini Rajendra Vaidya Alina Deshpande

Published in: JMIR public health and surveillance (2019)

AIDO is a decision support tool that facilitates increased situational awareness during an unfolding outbreak and enables informed decisions on mitigation strategies. AIDO analytics are available to epidemiologists across the globe with access to internet, at no cost. In this study, we presented a new approach to applying historical outbreak data to provide actionable information during the early stages of an unfolding infectious disease outbreak.

Keyphrases

big data
infectious diseases
artificial intelligence
machine learning
health information
climate change
electronic health record
healthcare
deep learning
social media