Leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics
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- https://doi.org/10.1016/j.jegh.2015.02.001How to use a DOI?
- One health; Big data; Zoonoses; 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.
- © 2015 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd.
- Open Access
- This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Cite this article
TY - JOUR AU - G.V. Asokan AU - Vanitha Asokan PY - 2015 DA - 2015/03/05 TI - Leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics JO - Journal of Epidemiology and Global Health SP - 311 EP - 314 VL - 5 IS - 4 SN - 2210-6014 UR - https://doi.org/10.1016/j.jegh.2015.02.001 DO - https://doi.org/10.1016/j.jegh.2015.02.001 ID - Asokan2015 ER -