Leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics

Leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics

Zoonoses constitute 61% of all known infectious diseases. The major obstacles to control zoonoses include insensitive systems and unreliable data. Intelligent handling of the cost effective big data can accomplish the goals of one health to detect disease trends, outbreaks, pathogens and causes of e...

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Veröffentlicht in:Journal of Epidemiology and Global Health 2015-12, Vol.5 (4), p.311-314
Hauptverfasser: Asokan, G.V, Asokan, Vanitha
Format: Artikel
Sprache:eng
Schlagworte:
Animals
Big Data
Disease Outbreaks - prevention & control
Global Health
Health informatics
Humans
Infectious diseases
Informatics
Information Systems - organization & administration
Internal Medicine
Medical Informatics
One health
Research Article
Zoonoses
Zoonoses - epidemiology
Zoonoses - prevention & control
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Beschreibung
Zusammenfassung:Zoonoses constitute 61% of all known infectious diseases. The major obstacles to control zoonoses include insensitive systems and unreliable data. Intelligent handling of the cost effective big data can accomplish the goals of one health to detect disease trends, outbreaks, pathogens and causes of emergence in human and animals.
ISSN:2210-6006
2210-6014
2210-6014
2210-6006
DOI:10.1016/j.jegh.2015.02.001