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Future directions in analytics for infectious disease intelligence
Author(s) -
Han Barbara A,
Drake John M
Publication year - 2016
Publication title -
embo reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.584
H-Index - 184
eISSN - 1469-3178
pISSN - 1469-221X
DOI - 10.15252/embr.201642534
Subject(s) - infectious disease (medical specialty) , library science , analytics , ecology , geography , history , biology , medicine , computer science , disease , data science , pathology
Anticipating the emergence of infectious diseases would be more effective in reducing their toll, rather than reacting to an outbreak. Machine learning and simulation tools that use environmental, epidemiological and molecular data could help manage and analyse the flow or risks, and inform appropriate actions by public health authorities.