Displaying results 2001 - 2008 of 4182
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Updates to the HL7 2.5.1 Implementation Guide for Syndromic Surveillance
Content Type: Abstract
In 2011, the Centers for Disease Control and Prevention (CDC) released the PHIN Messaging Guide for Syndromic Surveillance v. 1. In the intervening years, new technological advancements including Electronic Health Record capabilities, as well as new… read more -
Use of ambulance dispatch calls for surveillance of severe acute respiratory infections?
Content Type: Abstract
Surveillance of severe influenza infections is lacking in the Netherlands. Ambulance dispatch (AD) data may provide information about severity of the influenza epidemic and its burden on emergency services. The current gold standard, primary care-… read more -
Use of ESSENCE APIs to Support Flexible Analysis and Reporting
Content Type: Abstract
The ESSENCE application supports users' interactive analysis of data by clicking through menus in a user interface (UI), and provides multiple types of user defined data visualization options, including various charts and graphs, tables of… read more -
Evaluating the BioSense Syndrome for Heat-Related Illness in Maricopa County, Arizona
Content Type: Abstract
Monitoring heat-related illness (HRI) is a public health priority in Maricopa County, Arizona. Since 2006, Maricopa County Department of Public Health has utilized data from hospital discharges, medical examiner preliminary reports, and death… read more -
Use of N-grams and Term Relationship Graphs in the Syndrome Definition Development Process
Content Type: Abstract
The use of syndromic surveillance systems has evolved over the last decade, and increasingly includes both infectious and non- infectious topic areas. Public health agencies at the national, state, and local levels often need to rapidly develop new… read more -
Use of slaughter condemnation data to detect cattle health events in near real-time
Content Type: Abstract
Data collected at livestock slaughter can be a useful source of non-specific health indicators including clinical signs, symptoms and proxy measures [1]. When monitored in near real-time, this data can enable the detection of both livestock and… read more -
Use of the OSCOUR network data to describe low back pain attendances in French ED
Content Type: Abstract
LBP is one of the leading contributors to disease burden worldwide [1]. In France, LBP is a frequent reason of general practice consultations. According to a study published in 2017 and based on 2014 data issued of the National Health Insurance… read more -
Using ESSENCE to Meet Local Needs for Mental Health Data: Query & Results
Content Type: Abstract
Mental health is a common and costly concern; it is estimated that nearly 20 percent of adults in the United States live with a mental illness [1] and that more money is spent on mental illness than any other medical condition [2]. One spillover… read more