Displaying results 1 - 4 of 4
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Accrued – An R Package for Visualizing Data Quality for Aggregate Surveillance Data
Content Type: Abstract
The utility of specific sources of data for surveillance, and the quality of those data, are an ingoing issue in public health(1). Syndromic surveillance is typically conducted as a secondary use of data collected as part of routine clinical… read more… influenza like illness (ILI) and gastroenteritis (GI) ED visits on a nationwide basis. This system collected counts for ILI, GI and total ED visits, aggregated to the level of jurisdiction. The primary … influenza like illness (ILI) and gastroenteritis (GI) ED visits on a nationwide basis. This system collected counts … -
Visualizing Data Quality: Tools and Views
Content Type: Abstract
Distribute is a national emergency department syndromic surveillance project developed by the International Society for Disease Surveillance for influenza-like-illness (ILI) that integrates data from existing state and local public health department… read more… provides graphic comparisons of both ILI-related clinical visits across jurisdictions and a national picture of ILI. … The x-axis represents the date of the file upload and the y-axis represents the number of days prior to the upload … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 … -
How good is your data?
Content Type: Abstract
Distribute is a national emergency department syndromic surveillance project developed by the International Society for Disease Surveillance (ISDS) for influenza-like-illness (ILI) that integrates data from existing state and local public health… read more… provides graphic comparisons of both ILI-related clinical visits across jurisdictions and a national picture of ILI. … vides graphic comparisons of both ILI-related clinical visits across jurisdictions and a national picture of ILI. … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 … -
Using Change Point Detection for Monitoring the Quality of Aggregate Data
Content Type: Abstract
Data consisting of counts or indicators aggregated from multiple sources pose particular problems for data quality monitoring when the users of the aggregate data are blind to the individual sources. This arises when agencies wish to share data but… read more… process then the quality of the aggregate data may be compromised. This situation arose in the Distribute … process then the quality of the aggregate data may be compromised. This situation arose in the Distribute …