Displaying results 113 - 120 of 4206
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A comparison of syndromic surveillance chief complaint data and discharge data in a pediatric hospital system during 2009 H1N1
Content Type: Abstract
The Syndromic Surveillance Program (SSP) of the Acute Disease Epidemiology Section of the Georgia Division of Public Health, provides electronic influenza- like- illness (ILI) data to the Center for Disease Control and Prevention… read more -
A comparison of the fever–flu syndrome category with the SC ILINet surveillance system in South Carolina: 2009–2010 influenza season
Content Type: Abstract
The South Carolina Aberration Alerting Network (SCAAN) is a collaborative network of syndromic systems within South Carolina. Currently, SCAAN contains the following data sources: SC Hospital Emergency Department chief-… read more -
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 -
Utility of Natural Language Processing for Clinical Quality Measures Reporting
Content Type: Abstract
Clinical quality measures (CQMs) are tools that help measure and track the quality of health care services. Measuring and reporting CQMs helps to ensure that our health care system is delivering effective, safe, efficient, patient-centered,… read more -
A model for flu outbreak surveillance that describes the time lag for data reporting from the first presentation of a case to diagnosis
Content Type: Abstract
Reporting notifiable conditions to public health authorities by health-care providers and laboratories is fundamental to the prevention, control, and monitoring of population-based disease. To successfully develop community… read more -
A prediction market for H5N1 influenza compared with statistical forecasting model
Content Type: Abstract
Predictionmarkets have been successfully used to forecast future events in other fields. We adapted this method to provide estimates of the likelihood of H5N1 influenza related events. Objective The purpose… read more -
A spatio-temporal absorbing state model for disease and syndromic surveillance
Content Type: Abstract
The goal of disease and syndromic surveillance is to monitor and detect aberrations in disease prevalence across space and time. Disease surveillance typically refers to the monitoring of confirmed cases of disease, whereas syndromic… read more -
A Voronoi based scan for space-time cluster detection in point event data
Content Type: Abstract
Scan statistics are highly successful for the evaluation of space-time clusters. Recently, concepts from the graph theory were applied to evaluate the set of potential clusters. Wieland et al. introduced a graph theoretical… read more