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 emergence in human and animals.
Public Health Program, College of Health Sciences, University of Bahrain, PO Box 32038, Bahrain. Electronic address: agvaithinathan@uob.edu.bh.
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Asokan
Pediatrics Department, American Mission Hospital, Manama, PO Box 1, Bahrain. Electronic address: kidzdoc311@gmail.com.
Vanitha
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Asokan
D000818:Animals; D004196:Disease Outbreaks / Q000517:prevention & control*; D014943:Global Health; D006801:Humans; D007256:Information Systems / Q000458:organization & administration*; D008490:Medical Informatics; D015047:Zoonoses / Q000453:epidemiology / Q000517:prevention & control*
Big data; Health informatics; One health; Zoonoses