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. 2016 Jun;17(6):785-9.
doi: 10.15252/embr.201642534. Epub 2016 May 11.

Future directions in analytics for infectious disease intelligence: Toward an integrated warning system for emerging pathogens

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Future directions in analytics for infectious disease intelligence: Toward an integrated warning system for emerging pathogens

Barbara A Han et al. EMBO Rep. 2016 Jun.

Abstract

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.

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Figure 1
Figure 1. A model for a global warning system for infectious diseases

References

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