Displaying results 441 - 448 of 458
-
Surveillance for acute respiratory infections: should we include all outpatient visits or focus on urgent care areas?
Content Type: Abstract
A comprehensive electronic medical record (EMR) represents a rich source of information that can be harnessed for epidemic surveillance. At this time, however, we do not know how EMR-based data elements should be combined to improve the performance… read more… in the background! injection dataset but absent from the back- ground-only dataset; (2) the ‘false alarm rate’ (FAR), … -
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… 5353 distribution. Third, we combine the sub-nodes back into the original node by adding the allocated counts … -
Primary Care Surveillance in the UK - Actions, Outcomes, Benefits
Content Type: Abstract
Routine primary care data provide the means to systematically monitor a variety of syndromes which could give early warning of health protection issues (microbiological and chemical). It is possible to track milder illnesses which may not present to… read more… illness) and environmental sampling results (indicating a lack of ground-level pollution). CONCLUSIONS: Primary care … -
Expert Meeting on Privacy, Confidentiality, and Other Legal and Ethical Issues in Syndromic Surveillance
Content Type: Abstract
For syndromic and related public health surveillance systems to be effective, state and local health departments and the Centers for Disease Control and Prevention (CDC) need access to a variety of types of health data. Since the development and… read more… gate or de-identified form that have capability to link back to identified data when necessary; (c) further develop … program, CDC has the capacity to conduct detailed follow-back assessments with data maintained at CDC (6,7). In … into public health threats may prompt follow-back to individual patients, with the involvement of health … -
Challenges in adapting an natural language processing system for real-time surveillance
Content Type: Abstract
We are developing a Bayesian surveillance system for realtime surveillance and characterization of outbreaks that incorporates a variety of data elements, including free-text clinical reports. An existing natural language processing (… read more… caused less by NLP technicalities than they are by the lack of a robust environment for NLP engineering, … -
Estimating the incidence of influenza cases that present to emergency departments
Content Type: Abstract
Our laboratory previously established the value of over-the-counter (OTC) sales data for the early detection of disease outbreaks. We found that thermometer sales (TS) increased significantly and early during influenza (flu) season.… read more… ! TS"region#S"B=A# $ "I=A#"pop"region#=pop"AC## Given the lack of data with which to validate our model in other … -
Patient Management System Programmed Alert to Notify Providers of Suspected TB Cases
Content Type: Abstract
An increase in tuberculosis (TB) among homeless men residing in Marion County, Indiana was noticed in the summer of 2008. The Marion County Public Health Department (MCPHD) hosted screening events at homeless shelters in hopes of finding… read more… the effectiveness of the alert is difficult due to a lack of encounter data. Only one-fourth of the patients (13 … -
The Evolution of ESSENCE
Content Type: Abstract
In development for over fourteen years, ESSENCE is a disease surveillance system utilized by public health stakeholders at city, county, state, regional, national, and global levels. The system was developed by a team from the Johns Hopkins… read more… The utility of the ESSENCE system can be traced back directly to the influence of public health users and to …