Displaying results 433 - 440 of 458
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The spatial-temporal pattern of excess influenza visits at the (sub-)urban scale
Content Type: Abstract
Quantifying the spatial-temporal diffusion of diseases such as seasonal influenza is difficult at the urban scale for a variety of reasons including the low specificity of the extant data, the heterogenous nature of healthcare seeking… read more… spatial relationships with demographic covariates. The lack of variation across flu periods suggests that spatial … -
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… possibly resulting from ingestion of food spoiled by lack of refrigeration, were detected in the ED data but not … -
UPDATE: Bird Flu, the Media and Syndromic Surveillance, 2006-7
Content Type: Abstract
While mass media coverage of bird flu often provides specific information that may prevent or contain the disease, it is often less than ideal; the public may become fearful and panic at the news of a potential outbreak of bird… read more… As 2006 came to an end, and into 2007, ‘bird flu’ came back with a vengeance surfacing in many more countries and … -
Medicaid Prescription Data for Detection of Influenza-Like Illness
Content Type: Abstract
The New York State (NYS) Medicaid Program provides healthcare for 34% of the population in New York City (NYC) and 4%-20% in each of the 57 county populations up-state. Prescription data are collected through the sub-mission of claims forms to the… read more… help- ful in the 20 counties of upstate New York that lack sentinel physicians. Further Information: Kathryn … -
PHIN-MS deployment acceptability survey for the data transfer of syndromic data between hospitals and public health
Content Type: Abstract
PHIN-MS can send and receive data securely and automatically. It is used by many hospitals in the state(s) to send data to the South Carolina Department of Health and Environmental Control (SC DHEC) for both our National Electronic Disease… read more… hospitals to easily poll/receive syndromic data reports back from SC DHEC. This enables a two-way communication … -
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 … read more… in the background! injection dataset but absent from the back- ground-only dataset; (2) the ‘false alarm rate’ (FAR), … -
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), … -
Real-time, reusable, dynamic public health surveillance
Content Type: Abstract
The resources available in most public health departments are limited. Access to trained technical personnel and stateof-the-art computing resources are also lacking. Customizable off-the-shelf systems contribute only to creation of information… read more… The dynamic, model driven, information processing back- end services support context independent, disparate …