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An anti-infodemic virtual center for the Americas.

Authors :
Brooks, Ian
D'Agostino, Marcelo
Marti, Myrna
McDowell, Kate
Mejia, Felipe
Betancourt-Cravioto, Miguel
Gatzke, Lisa
Hicks, Elaine
Kyser, Rebecca
Leicht, Kevin
dos Santos, Eliane Pereira
Saw, Jessica Jia-Wen
Tomio, Ailin
Saiso, Sebastian Garcia
Source :
Pan American Journal of Public Health. 2023, Vol. 47, p1-11. 11p.
Publication Year :
2023

Abstract

The Pan American Health Organization/ World Health Organization (PAHO/WHO) Anti-Infodemic Virtual Center for the Americas (AIVCA) is a project led by the Department of Evidence and Intelligence for Action in Health, PAHO and the Center for Health Informatics, PAHO/WHO Collaborating Center on Information Systems for Health, at the University of Illinois, with the participation of PAHO staff and consultants across the region. Its goal is to develop a set of tools--pairing AI with human judgment--to help ministries of health and related health institutions respond to infodemics. Public health officials will learn about emerging threats detected by the center and get recommendations on how to respond. The virtual center is structured with three parallel teams: detection, evidence, and response. The detection team will employ a mixture of advanced search queries, machine learning, and other AI techniques to sift through more than 800 million new public social media posts per day to identify emerging infodemic threats in both English and Spanish. The evidence team will use the EasySearch federated search engine backed by AI, PAHO's knowledge management team, and the Librarian Reserve Corps to identify the most relevant authoritative sources. The response team will use a design approach to communicate recommended response strategies based on behavioural science, storytelling, and information design approaches. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10204989
Volume :
47
Database :
Academic Search Index
Journal :
Pan American Journal of Public Health
Publication Type :
Academic Journal
Accession number :
174630164
Full Text :
https://doi.org/10.26633/RPSP.2023.5