Systems for the identification and registration of cattle have gradually been receiving attention for use in syndromic surveillance, a relatively recent approach for the early detection of infectious disease outbreaks. Real or near real-time monitoring of deaths or stillbirths reported to these systems offer an opportunity to detect temporal or spatial clusters of increased mortality that could be caused by an infectious disease epidemic. In Switzerland, such data are recorded in the "Tierverkehrsdatenbank" (TVD). To investigate the potential of the Swiss TVD for syndromic surveillance, 3 years of data (2009-2011) were assessed in terms of data quality, including timeliness of reporting and completeness of geographic data. Two time-series c...
<div><p>We performed a simulation study to evaluate the performances of an anomaly detection algorit...
IntroductionThe use of existing data to provide surveillance intelligence is widely advocated but of...
We performed a simulation study to evaluate the performances of an anomaly detection algorithm consi...
Systems for the identification and registration of cattle have gradually been receiving attention fo...
AbstractIn response to increasing risks of emerging infectious diseases, syndromic surveillance can ...
Pathology data have been reported to be important for surveillance, as they are crucial for correctl...
International audienceIn the last decade and a half, emerging vector-borne diseases have become a su...
Animal health surveillance plays an important role in protecting animal health, production and welfa...
<p>This study aimed to evaluate the use of routinely collected reproductive and milk productio...
Syndromic surveillance is a recent concept in epidemiology. Based on automated monitoringof non-spec...
BACKGROUND: We evaluated Swiss slaughterhouse data for integration in a national syndromic surve...
International audienceSurveillance of infectious diseases in livestock is traditionally carried out ...
IntroductionThe use of existing data to provide surveillance intelligence is widely advocated but of...
IntroductionThe use of existing data to provide surveillance intelligence is widely advocated but of...
IntroductionThe use of existing data to provide surveillance intelligence is widely advocated but of...
<div><p>We performed a simulation study to evaluate the performances of an anomaly detection algorit...
IntroductionThe use of existing data to provide surveillance intelligence is widely advocated but of...
We performed a simulation study to evaluate the performances of an anomaly detection algorithm consi...
Systems for the identification and registration of cattle have gradually been receiving attention fo...
AbstractIn response to increasing risks of emerging infectious diseases, syndromic surveillance can ...
Pathology data have been reported to be important for surveillance, as they are crucial for correctl...
International audienceIn the last decade and a half, emerging vector-borne diseases have become a su...
Animal health surveillance plays an important role in protecting animal health, production and welfa...
<p>This study aimed to evaluate the use of routinely collected reproductive and milk productio...
Syndromic surveillance is a recent concept in epidemiology. Based on automated monitoringof non-spec...
BACKGROUND: We evaluated Swiss slaughterhouse data for integration in a national syndromic surve...
International audienceSurveillance of infectious diseases in livestock is traditionally carried out ...
IntroductionThe use of existing data to provide surveillance intelligence is widely advocated but of...
IntroductionThe use of existing data to provide surveillance intelligence is widely advocated but of...
IntroductionThe use of existing data to provide surveillance intelligence is widely advocated but of...
<div><p>We performed a simulation study to evaluate the performances of an anomaly detection algorit...
IntroductionThe use of existing data to provide surveillance intelligence is widely advocated but of...
We performed a simulation study to evaluate the performances of an anomaly detection algorithm consi...