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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Atlantis Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320505/ https://www.ncbi.nlm.nih.gov/pubmed/25747185 http://dx.doi.org/10.1016/j.jegh.2015.02.001 |
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author | Asokan, G.V. Asokan, Vanitha |
author_facet | Asokan, G.V. Asokan, Vanitha |
author_sort | Asokan, G.V. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7320505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Atlantis Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73205052020-07-28 Leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics Asokan, G.V. Asokan, Vanitha J Epidemiol Glob Health Article 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. Atlantis Press 2015 2015-03-05 /pmc/articles/PMC7320505/ /pubmed/25747185 http://dx.doi.org/10.1016/j.jegh.2015.02.001 Text en © 2015 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Asokan, G.V. Asokan, Vanitha Leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics |
title | Leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics
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title_full | Leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics
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title_fullStr | Leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics
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title_full_unstemmed | Leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics
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title_short | Leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics
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title_sort | leveraging “big data” to enhance the effectiveness of “one health” in an era of health informatics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320505/ https://www.ncbi.nlm.nih.gov/pubmed/25747185 http://dx.doi.org/10.1016/j.jegh.2015.02.001 |
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