Open AccessData Fuels Detection: How to Prevent Epidemics Using Data
Author(s) -
Rebecca Fein,
Leila R Kalankesh
Publication year - 2021
Publication title -
frontiers in health informatics
Language(s) - English
Resource type - Journals
ISSN - 2676-7104
DOI - 10.30699/fhi.v10i1.269
Subject(s) - outbreak , pandemic , bottleneck , covid-19 , tracking (education) , computer science , data science , risk analysis (engineering) , disease , infectious disease (medical specialty) , business , medicine , virology , psychology , pedagogy , pathology , embedded system
Data for prevention and tracking of disease should begin prior to the outbreak. The bottleneck for early detecting outbreaks is data. The data are collected from different points of care and aggregated, then analyzed centrally to warn us about what is happening. However, this current pandemic has not utilized data for prevention and tracking in a meaningful way. We believe the prevention problem is the data problem and it should be addressed to prevent the future pandemics in an effective way.