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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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| 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 |
| Sumario: | 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. |
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