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Vol. 17. Núm. 6.
Páginas 520-522 (noviembre - diciembre 2003)
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Vol. 17. Núm. 6.
Páginas 520-522 (noviembre - diciembre 2003)
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Sistemas de alerta: una prioridad en vigilancia epidemiológica
Warning systems: a priority in epidemiological surveillance
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R. Valenciaa,
Autor para correspondencia
rvalencia@andaluciajunta.es

Correspondencia: Servicio de Medicina Preventiva. 6.a Planta. Edificio de laboratorio. Hospital Universitario Virgen del Rocío. Avda. Manuel Siurot, s/n. Sevilla. España.
, E. Románb, F.J. García-Leónc, J. Guillénc
a Servicio de Medicina Preventiva. Hospital Universitario Virgen del Rocío. Sevilla
b Servicio de Medicina Preventiva. Hospital Universitario Virgen de la Victoria. Málaga. España
c Servicio de Vigilancia Epidemiológica. Consejería de Salud de Andalucía. Sevilla. España
Este artículo ha recibido

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Información del artículo
Resumen

Una de las funciones esenciales de la salud pública es reducir el impacto de las situaciones de emergencia, de aquí la necesidad de contar con sistemas de alerta y respuesta rápida. La demanda social como reacción a las enfermedades emergentes y reemergentes, la exposición a riesgos ambientales y la posibilidad de ataques bioterroristas son las circunstancias que han contribuido, en mayor medida, a la puesta en marcha de estos sistemas basados en modelos matemáticos.

La información se obtiene de fuentes muy diversas (p. ej., datos de laboratorio, médicos centinela, o visitas a determinadas páginas web) se integra y, una vez detectada la situación anómala que determina la alerta, se establecen rápidamente medidas de control que permitan reducir los riesgos y limitar los daños.

Abstract

One of the functions of public health is to reduce the impact of emergency situations; hence the need to establish an early warning and response system. Community reactions to emerging and reemerging diseases, exposure to environmental risks, and potential terrorist acts are the factors that have that have mainly contributed to the instauration of warning systems based on mathematical models.

Information is obtained from diverse sources (for example, laboratory data, sentinel physicians, or visits to particular websites). Once the data are gathered, and the situation provoking the alert is detected, control measures to reduce risks and minimize damage are taken at the earliest.

El Texto completo está disponible en PDF
Bibliografía
[1.]
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[2.]
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