Application of syndromic surveillance

We hope that the modifications described here, including the addition of unique data streams, will provide a benchmark for future Canadian syndromic surveillance systems. Keywords: syndromic surveillance, outbreak detection, public health informatics, emergency departments. En septembre , le Service de sante publique de Kingston, Frontenac, Lennox et Addington KFL et A a lance, en collaboration avec la Division de la sante publique du ministere de la Sante et des Soins de longue duree de l'Ontario, l'Universite Queen's, l'Agence de la sante publique du Canada, l'Hopital general de Kingston et l'Hopital Hotel-Dieu, un projet pilote de deux ans afin d'implanter et d'evaluer un systeme de surveillance des syndromes lies aux principales plaintes dans les services d'urgence.

Le projet visait a evaluer un programme regional en temps reel, facile a deployer et integre de surveillance des syndromes et a determiner sa capacite de proteger contre les eclosions de maladies gastro-intestinales ou respiratoires longtemps avant les systemes habituels de declaration.

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Afin de mettre en oeuvre le systeme, on a modifie le systeme de surveillance des eclosions et des maladies en temps reel RODS de l'Universite de Pittsburgh qui a integre avec succes dans certains systemes de sante publique ou il a ameliore la communication et la collaboration entre ces systemes et les services d'urgence. Cette communication presente un apercu d'un systeme de surveillance des syndromes base sur le systeme RODS et adapte a une unite de sante publique a Kingston Ontario. Nous resumons les caracteristiques techniques, les considerations relatives a la vie privee et a la securite, la saisie des donnees, la classification et la gestion du cheminement des donnees, le declenchement d'alertes et la reponse des services de sante publique.

Syndromic surveillance refers to the analysis of medical information for the purpose of detecting outbreaks of disease earlier than would have been possible otherwise and to estimate the prevalence of the disease in a population.

Internet data, especially search engine queries and social media postings, have shown promise in contributing to syndromic surveillance for in uenza and dengue fever. Here we focus on the recent outbreak of Ebola Virus Disease and ask whether three major sources of Internet data could have been used for early detection of the outbreak and for its ongoing monitoring.

La surveillance syndromique en France : 15 ans après ?

We analyze queries submitted to the Bing search engine, postings made by people using Twitter, and news articles in mainstream media, all collected from both the main infected countries in Africa and from across the world between November and October Our results indicate that it is unlikely any of the three sources would have provided an alert more than a week before the official announcement of the World Health Organization. Panel discussions involving leading public health experts with deep frontline experiences to share their views on risk communication, crisis management, ethics and public trust in the context of infectious disease control.

In addition to the original introductory sessions on epidemics, we revamped the course by adding: - new panel discussions with world-leading experts; and - supplementary modules on next generation informatics for combating epidemics. Emerg Infect Dis Apr; 11 4 What you'll learn - Demonstrate knowledge of the origins, spread and control of infectious disease epidemics - Demonstrate understanding of the importance of effective communication about epidemics - Demonstrate understanding of key contemporary issues relating to epidemics from a global perspective.

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À partir de la leçon. Theme Three: Control Disease surveillance.