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This abstract describes Missouriís experience with syndromic surveillance. Missouri has expanded from acquiring pre-tabulated data from volunteers to receiving patient-level data via electronic feeds from 85 hospitals across the state processed through multiple analysis, visualization, and... Read more

Content type: Abstract

Researchers have developed varied methods for forecasting influenza activity using surveillance data with predictive models, but real-world applications in public health programs are rare. To inform consideration of whether and how public health practice should incorporate influenza forecasting... Read more

Content type: Abstract

Currently Scotland has a number of influenza surveillance schemes, including âflu-spotter’ practices, and enhanced surveillance general practices that submit clinical samples for virological testing (SERVIS practices). This information feeds annually into the European Influenza Surveillance... Read more

Content type: Abstract

Late in September 2012, the Tennessee Department of Health (TDH) identified a cluster of fungal infections following epidural injection of methylprednisolone acetate (MPA) from a single compounding pharmacy. This presented a public health imperative to contact, educate and monitor approximately... Read more

Content type: Abstract

Since the majority of emerging infectious diseases over the past several decades have been zoonotic, animal health surveillance is now recognized as a key element in predicting public health risks. Surveillance of animal populations can provide important early warnings of emerging threats to... Read more

Content type: Abstract

Geographic Information System (GIS) applications are increasingly being used for public health purposes. GIS technology provides visual tools – through the creation of computerized maps, graphs, and tables of geographic data – that can assist with problem solving and inform decision-making.... Read more

Content type: Abstract

Edward Goldstein, PhD, Harvard School of Public Health, Senior Research Scientist, Department of Epidemiology discusses his paper "Predicting the Epidemic Sizes of Influenza A/H1N1, A/H3N2, and B: A Statistical Method." Published in PLoS Med. 2011 Jul;8(7): e1001051.

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Content type: Webinar

One of the early successes for the National Syndromic Surveillance Program'™s (NSSP'™s) BioSense Platform was community agreement on what should make up national and regional picture of the data. For NSSP to meet program objectives, National level surveillance and situational awareness had to be... Read more

Content type: Abstract

Medical claims and EHR data sources offer the potential to ascertain disease and health risk behavior prevalence and incidence, evaluate the use of clinical services, and monitor changes related to public health interventions. Passage of the HITECH Act of 2009 supports the availability of... Read more

Content type: Abstract

1) Describe Arizonaís integrated influenza surveillance for school children with a retrospective analysis of data from multiple sources including School-based Syndromic Surveillance Program (SSSP), laboratory-confirmed influenza case reports, sentinel influenza-like illness (ILI) reports, and... Read more

Content type: Abstract

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This Knowledge Repository is made possible through the activities of the Centers for Disease Control and Prevention Cooperative Agreement/Grant #1 NU500E000098-01, National Surveillance Program Community of Practice (NSSP-CoP): Strengthening Health Surveillance Capabilities Nationwide, which is in the interest of public health.

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