Displaying results 1129 - 1136 of 4177
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Multi-Tier Role Based Access for Secure and Flexible Syndromic Surveillance
Content Type: Abstract
NC DETECT receives data on at least a daily basis from five data sources: emergency departments (ED), the statewide poison center (CPC), the statewide EMS data collection system, a regional wildlife center and laboratories from the NC State College… read more -
Multilingual Chief Complaint Classifier
Content Type: Abstract
Free text chief complaints (CCs), which may be recorded in different languages, are an important data source for syndromic surveillance systems. For automated syndromic surveillance, CCs must be classified into predefined syndromic categories to… read more -
Multiple Data Sources and Reverse Engineering Could Improve Sensitivity of Surveillance Algorithms
Content Type: Abstract
Clinicians can pursue the clinical findings for specific patients until reaching a diagnosis in real time. When using electronic ED complaints, one relies on symptoms volunteered by patients in the triage setting. Patients seek emergency… read more -
Multivariate Time Series Analyses Using Primitive Univariate Algorithms
Content Type: Abstract
Time series analysis is very popular in syndromic surveillance. Mostly, public health officials track in the order of hundreds of disease models or univariate time series daily looking for signals of disease outbreaks. These time series can be… read more -
Predicting virologically confirmed influenza using school absences in PA
Content Type: Abstract
School-based influenza surveillance has been considered for real-time monitoring of influenza, as children 5-17 years old play an important role in community-level transmission. Objective To determine if all-cause and cause-… read more -
Multivariate Count Time Series Modeling of Surveillance Data
Content Type: Webinar
Surveillance data on various notifiable diseases usually consist of multiple time series of daily, weekly, or monthly counts of new infections. Data are typically reported in several strata defined through administrative geographical areas, gender… read more -
Mutual Benefits in Partnerships between Hospital-based and Public Health Department Syndromic Surveillance Systems in Outbreak Detection and Investigation
Content Type: Abstract
Syndromic surveillance has traditionally been used by public health in disease epidemiology. Partnerships between hospital-based and public health systems can improve efforts to monitor for disease clusters. Greenville Hospital System operates a… read more -
Natural Language Processing: Can it Help Detect Cases and Characterize Outbreaks?
Content Type: Abstract
Objective To demonstrate how natural language processing (NLP) of clinical records can contribute to case detection and characterization in biosurveillance. read more