Displaying results 177 - 184 of 4232
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Advantages and Limitations of Real Time Surveillance for the French Armed Forces during Operations
Content Type: Abstract
This paper describes the synthesis of benefits and problems that French Armed Forces had to take into account for the implementation of syndromic surveillance within their epidemiological surveillance strategy. -
Age Specific Correlations between Influenza Laboratory Data and Influenza-like Syndrome Definitions in Boston and New York City
Content Type: Abstract
To compare age-group-specific correlation of influenza-like syndrome (ILS) emergency department (ED) visits with influenza laboratory data in Boston and NYC using locally defined ILS definitions. -
Algorithms to Characterize Syndromic Surveillance Spatial Alerts
Content Type: Abstract
This paper explores some visualization methods for characterizing spatial signals detected by SaTScan and discusses how these maps might aid in deciding whether to investigate a signal, as well as the scope and focus of the investigation. -
Amplification of Syndromic Surveillance's Role in Miami-Dade County
Content Type: Abstract
To describe how the Miami-Dade County Health Department (MDCHD) has expanded Electronic Surveillance System for the Early Notification of Community Based Epidemics (ESSENCE) for specialized research in addition to daily surveillance activities -
An Adaptive Anomaly Detection Algorithm
Content Type: Abstract
Ideal anomaly detection algorithms shoulddetect both sudden and gradual changes, while keeping the background false positive alert rate at a tolerable level. The algorithms should also be easy to use. Our objective was to develop an anomaly… read more -
An Efficient Approach to Map LOINC Concepts to Notifiable Conditions
Content Type: Abstract
The objective of this project was to develop an efficient method to map Logical Observation Identifier Names and Codes (LOINC) to notifiable conditions to accommodate future changes in standard laboratory test codes. -
BioSense 2.0 Webinar: Data Quality Checks and Assurance
Content Type: Webinar
Presenters Caleb Wiedeman and Harold Gil will describe some of the processes their organizations use to ensure the quality of data in BioSense v2.0. First, Caleb Wiedeman will review his normal routine of verifying data quality, including checking… read more -
Data quality visualization for aggregate surveillance data with application to now-casting
Content Type: Webinar
This webinar will present a set of tools developed for visualizing data quality problems in aggregate surveillance data, in particular for data which accrues over a period of time. This work is based on a data quality analysis of aggregate data used… read more