Displaying results 313 - 320 of 1194
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Syndromic Surveillance for Detection of Increased Morbidity and Mortality by Influenza
Content Type: Abstract
To evaluate whether a rise or shift in severe morbidity and mortality by influenza can be detected with syndromic surveillance.… 1-Jan-2003 1-Jan-2004 R es pi ra to ry sy nd ro m e co un ts Figure 1 – Hospitalizations: Weekly counts of the … -
Syndromic Surveillance with Death Data: a Pilot Study in the Netherlands
Content Type: Abstract
Crude mortality could be valuable for infectious disease surveillance if available in a complete and timely fashion. Such data can be of used for detecting, and tracking the impact of unusual health events (e.g. pandemic… read more… events (e.g. pandemic influenza) or other unexpected or un- known events of infectious nature. To evaluate whether … -
Anonymization of Spatial Data by Gaussian Skew: Is Re-Identification Possible?
Content Type: Abstract
To evaluate the robustness of a spatial anonymization algorithm for syndromic surveillance data against a triangulation vulnerability attack. `BACKGROUND We have published an anonymization algorithm that takes precise point locations for patients… read more… Gaus- sian distribution that is inversely adjusted by the un- derlying population density. Before such algorithms can … -
Extensibility in Semantic Web Description of Syndromic Surveillance Systems
Content Type: Abstract
The semantic web is an emerging technology for expressing rich descriptions of a problem domain in the form of ontologies. An ontology provides a domain specific knowledge base… read more… without the need to understand the details of the un- derlying implementation. Much additional work is needed … -
Data Integration and Analytics within the National Bio-Surveillance Integration System
Content Type: Abstract
This presentation introduces the U.S. Department of Homeland Security (DHS) National Bio-Surveillance Integration System (NBIS) and the analytics functionality within the NBIS that integrates and analyzes structured and unstructured data streams… read more… likeli- hood of an outbreak given a series of potentially un- true denial statements in the chain of denial corpus. … -
State Surveillance Data Improves a Clinical Prediction Model for Pertussis
Content Type: Abstract
Bordetella Pertussis outbreaks cause morbidity in all age groups, but the infection is most dangerous for young infants. Pertussis is difficult to diagnose, especially in its early stages, and definitive test results are not… read more… and negative predictive value (PPV, NPV), and area un- der the ROC curve (AROC)). RESULTS Cyanosis, cough for … -
What do GPs Want in Return from a Syndromic Surveillance System?
Content Type: Abstract
In the Northern part of Norway, all General Practitioners (GPs) and hospitals use electronic health records (EHR). They are connected via an independent secure IP-network called the Norwegian Health Network. The newly developed “Snow… read more… the system, the more you need user research to un- sure success [3]. With this in mind we have decided to … -
Interest of Syndromic Surveillance within the Armed Forces in French Guiana for Early Warning
Content Type: Abstract
This paper describes the early warning that has been activated by the syndromic surveillance system installed within the Armed Forces in French Guiana and the consequences for Public Health decisions.… of repellents for soldiers, etc.). The situation stayed un- der control. On the civilian side, even if the alarm was …
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