Open AccessCOVID-19 disease information management model to reduce the negative impact on the infodemics of the university community
Author(s) -
Flor B. Montañez,
Alberto L. Morán,
Victoria Meza-Kubo
Publication year - 2021
Publication title -
avances en interacción humano computadora
Language(s) - English
Resource type - Journals
ISSN - 2594-2352
DOI - 10.47756/aihc.y6i1.101
Subject(s) - dissemination , covid-19 , disease , information dissemination , process (computing) , computer science , pandemic , health information , knowledge management , internet privacy , medicine , world wide web , health care , infectious disease (medical specialty) , political science , telecommunications , pathology , law , operating system
The COVID-19 disease has put official health institutions on alert. They are aware of the problem of infodemics and the negative impact it has on health emergencies, and of the need to disseminate objective, complete and useful information on COVID-19 disease to all types of audiences. These have been supported by the different existing media and information systems that allow them to manage the infodemics. For this reason, this research topic proposes to define a model to manage information on COVID-19 disease, through a screening process (selecting, verifying, validating and presenting information) to deliver information in customized formats for specific audiences and reduce the negative impact of infodemics.