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An anti-infodemic virtual center for the Americas

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 Informat...

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Published in:Revista panamericana de salud pública 2023-01, Vol.47 (5), p.e5-11
Main Authors: Brooks, Ian, D'Agostino, Marcelo, Marti, Myrna, McDowell, Kate, Mejia, Felipe, Betancourt-Cravioto, Miguel, Gatzke, Lisa, Hicks, Elaine, Kyser, Rebecca, Leicht, Kevin, Pereira Dos Santos, Eliane, Saw, Jessica Jia-Wen, Tomio, Ailin, Garcia Saiso, Sebastian
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cited_by cdi_FETCH-LOGICAL-c489t-7fa785716a9618c408d1a8bf673b2522eba26c3965e5357e09fc87a1e448007d3
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container_issue 5
container_start_page e5
container_title Revista panamericana de salud pública
container_volume 47
creator Brooks, Ian
D'Agostino, Marcelo
Marti, Myrna
McDowell, Kate
Mejia, Felipe
Betancourt-Cravioto, Miguel
Gatzke, Lisa
Hicks, Elaine
Kyser, Rebecca
Leicht, Kevin
Pereira Dos Santos, Eliane
Saw, Jessica Jia-Wen
Tomio, Ailin
Garcia Saiso, Sebastian
description 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.
doi_str_mv 10.26633/RPSP.2023.5
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subjects americas
artificial intelligence
Brief Communication
communication
covid-19
Health Policy & Services
public health informatics
social media
title An anti-infodemic virtual center for the Americas
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