Preventing the next pandemic: Use of artificial intelligence for epidemic monitoring and alerts

C Raina MacIntyre; Samsung Lim; Ashley Quigley

doi:10.1016/j.xcrm.2022.100867

Preventing the next pandemic: Use of artificial intelligence for epidemic monitoring and alerts

Cell Rep Med. 2022 Dec 20;3(12):100867. doi: 10.1016/j.xcrm.2022.100867.

Authors

C Raina MacIntyre¹, Samsung Lim², Ashley Quigley³

Affiliations

¹ Biosecurity Program, The Kirby Institute, UNSW, Sydney, Australia.
² Biosecurity Program, The Kirby Institute, UNSW, Sydney, Australia; School of Civil & Environmental Engineering, UNSW, Sydney, Australia.
³ Biosecurity Program, The Kirby Institute, UNSW, Sydney, Australia. Electronic address: ashley.quigley@protonmail.com.

Abstract

Emerging infections are a continual threat to public health security, which can be improved by use of rapid epidemic intelligence and open-source data. Artificial intelligence systems to enable earlier detection and rapid response by governments and health can feasibly mitigate health and economic impacts of serious epidemics and pandemics. EPIWATCH is an artificial intelligence-driven outbreak early-detection and monitoring system, proven to provide early signals of epidemics before official detection by health authorities.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Artificial Intelligence*
Disease Outbreaks / prevention & control
Pandemics* / prevention & control