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Leveraging ''big data'' to enhance the effectiveness of ''one health'' in an era of health informatics
Journal of Epidemiology and Global Health. 2015; 5 (4): 311-314
en Inglés | IMEMR | ID: emr-173825
ABSTRACT
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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Índice: IMEMR (Mediterraneo Oriental) Asunto principal: Zoonosis / Informática en Salud Pública / Informática Idioma: Inglés Revista: J. Epidemiol. Glob. Health Año: 2015

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Índice: IMEMR (Mediterraneo Oriental) Asunto principal: Zoonosis / Informática en Salud Pública / Informática Idioma: Inglés Revista: J. Epidemiol. Glob. Health Año: 2015