Displaying results 1 - 7 of 7
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Traveling Epidemic Waves in Biosurveillance Data: Identifying Early Hotspots of Respiratory Illness
Content Type: Abstract
We have previously shown that timeliness of detection is influenced both by the data source (e.g., ambulatory vs. emergency department) and demographic characteristics of patient populations (e.g., age). Because epidemic waves are thought to… read more… referral bias by including the likelihood of a hospital visit based on the market share of a zip code. The model … -
A Novel, Context-Sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection
Content Type: Abstract
The use of spatially-based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We describe a novel method for anonymizing individuals in public health datasets, by… read more… (ED) visits for respiratory illness. Baseline ED visit data were in- jected with artificially-created … -
The Value of Patient Reports in Syndrome Assignment
Content Type: Abstract
Of critical importance to the success of syndromic surveillance systems is the ability to collect data in a timely manner and thus ensure rapid detection of disease outbreaks. Most emergency department-based syndromic surveillance systems use… read more… pertaining to the child’s current illness. After the visit, the sub- ject’s medical record was abstracted and … Adolesc Med. 1995;149:553-558. Self-report tool Chief com- plaint Syndrome cate- gory Sens (%) Spec (%) Sens (%) … -
Use of Surveillance Data to Measure the Impact of Viral Infections among Young Children
Content Type: Abstract
Respiratory viruses cause substantial morbidity and costly resource utilization among young children, especially during the winter months. Accurate estimates of the impact of these viruses are important in guiding prevention efforts… read more… higher ED and outpatient resource utilization as com- pared with influenza, especially among children <2 … Monto AS, Sullivan KM. Acute respiratory illness I the com- munity: frequency of illness and the agents involved. … admission 0.9 (0.4, 1.9) 11.8 (9.3, 14.9) Primary care visit 4.8 (3.7, 6.3) 23.2 (20.1, 26.6) Antibiotic use 3.1 … -
Privacy Protection versus Cluster Detection in Spatial Epidemiology
Content Type: Abstract
With the widespread deployment of near real time population health monitoring, there is increasing focus on spatial cluster detection for identifying disease outbreaks. These spatial epidemiologic methods rely on knowledge of patient location to… read more… tions, significant clusters contained fewer additional ED visit points (i.e., points that were not part of the … -
Improved diagnosis of group A streptococcal pharyngitis using real-time biosurveillance
Content Type: Abstract
Group A Streptococcal (GAS) pharyngitis, the most common bacterial cause of acute pharyngitis, causes more than half a billion cases annually worldwide. Treatment with antibiotics provides symptomatic benefit and reduces complications… read more… across six states. Anonymized extracted data included visit date, location, signs and symptoms included in the … -
Improved diagnosis of group A streptococcal pharyngitis using real-time biosurveillance
Content Type: Abstract
Group A Streptococcal (GAS) pharyngitis, the most common bacterial cause of acute pharyngitis, causes more than half a billion cases annually worldwide. Treatment with antibiotics provides symptomatic benefit and reduces complications, missed work… read more… across six states. Anonymized extracted data included visit date, location, signs and symptoms included in the …