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National initiatives, such as Meaningful Use, are automating the detection and reporting of reportable disease events to public health, which has led to more complete, timely, and accurate public health surveillance data. However, electronic reporting has also lead to significant increases in... Read more

Content type: Abstract

Our mission as the Data Quality Committee is to engage the NSSP Community of Practice to identify and attempt to address syndromic surveillance data quality challenges with thoughtful discussion and the inclusion of outside stakeholders. We strive to foster relationships between all groups with... Read more

Content type: Meeting Recordings & Notes

The Metadata Visualization App (MVA) workgroup has been developing a metadata visualization application as part of a proof of concept tool containing jurisdiction specific information on Electronic Health Record (EHR) vendors, EHR  vendor products, aggregate data quality metrics(timeliness,... Read more

Content type: Meeting Recordings & Notes

Presented November 27, 2018.

Unstructured data such as chief complaints and provider notes are an important component of effective Health surveillance. Applying machine learning (ML) and natural language processing (NLP) to unstructured data can often improve surveillance performance over... Read more

Content type: Webinar

To develop a spatially accurate biosurveillance synthetic data generator for the testing, evaluation, and comparison of new outbreak detection techniques.

Content type: Abstract

The frequency of disease outbreaks varies as a result of complex biological processes. Analysis of these frequencies can reveal patterns that can serve as a basis for predictions.

Objective:

The goal of this study was to identify the periodicity of seven zooanthroponoses in humans... Read more

Content type: Abstract

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