Displaying results 601 - 608 of 618
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Detection of multiple overlapping anomalous clusters in categorical data
Content Type: Abstract
Syndromic surveillance typically involves collecting time-stamped transactional data, such as patient triage or examination records or pharmacy sales. Such records usually span multiple categorical features, such as location, age… read more… Weekly Epidemiological Reports3. The data stores patient visits spanning 26 regions and 9 diseases reported over 2.5 … -
Utility of Syndromic Surveillance for Investigating Morbidity Resulting from a Severe Weather Event
Content Type: Abstract
On 12/14/06, a windstorm in western Washington caused 4 million residents to lose power; within 24 hours, a surge in patients presented to emergency departments (EDs) with carbon monoxide (CO) poisoning. As previously described, records of… read more… our syndromic surveillance system captured 16,982 ED visits. Most of the 169 ED patients with CO-related illness … -
Tuberculosis Surveillance, Republics of Armenia and Georgia, 2003-2004
Content Type: Abstract
The former Soviet Union (FSU)—through the Sanitary-Epidemiologic Service (SES)—developed an extensive system of disease surveillance that was effective, yet centrally planned in Moscow. Even after the fall of the FSU in 1991,… read more… Central TB staff provided direct supervision with regular visits (at least 1-2 times per year) to each of the TB … -
A System for Simulation: Introducing Outbreaks into Time Series Data
Content Type: Abstract
Objective Several authors have described ways to introduce artificial outbreaks into time series for the purpose of developing, testing, and evaluating the effectiveness and timeliness of anomaly detection algorithms, and more… read more… Figure 1: Comparative Time Series of Emergency Department Visits with Artificial Outbreaks RESULTS Data sequences … -
A Multivariate Bayesian Scan Statistic
Content Type: Abstract
This paper develops a new method for multivariate spatial cluster detection, the ìmultivariate Bayesian scan statisticî (MBSS). MBSS combines information from multiple data streams in a Bayesian framework, enabling faster and more accurate… read more… may include sources such as emergency department (ED) visits, with each stream representing a different chief … -
A data simulation model using NRDM pharmaceutical sales counts
Content Type: Abstract
In disease surveillance, an outbreak is often present in more than one data type. If each data type is analyzed separately rather than combined, the statistical power to detect an outbreak may suffer because no single data source… read more… with the syndromic dataset collected during the ED visits of patients in order to improve the power of early … -
Surveillance in New Jersey - From Anthrax to Automation
Content Type: Abstract
In the summer of 2001, New Jersey (NJ) was in the process of developing surveillance activities for bioterrorism. On September 11, 2001, the U.S. suffered a major terrorist attack. Approximately a month later, Anthrax-laced letters were processed… read more… when there was a more defined purpose to reporting ED visits and admissions (e.g., The Republican National … -
Google Flu Trends: Correlation with Emergency Department Influenza Rates and Crowding Metrics
Content Type: Abstract
Emergency Departments (ED) supply critical infrastructure to provide medical care in the event of a disaster or disease outbreak, including seasonal and pandemic influenza [1]. Already over-crowded and stretched to near-capacity, influenza activity… read more… strong correlation with local influenza cases and ED ILI visits, providing first time evidence of its utility for …