Displaying results 201 - 208 of 308
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Outbreak Observatory: Conducting operational research during outbreaks to improve preparedness and response
Content Type: Webinar
Presented June 27, 2018. During this presentation, researchers discussed how Outbreak Observatory, a pilot project initiated by the Johns Hopkins Center for Health Security, facilitated the conduct of real-time operational research during… read more… and Engineering, Bloomberg School of Public Health. Document Outbreak Observatory.pdf … rapid and effective outbreak detection and response? • Document and disseminate broader lessons learned o What … and response activities for outbreaks and epidemics o Document and analyze challenges to identify strategies and … -
Exploring the Expanded PHIN Messaging Guide for Syndromic Surveillance
Content Type: Webinar
ISDS, in collaboration with and with the support of CDC, recently released a new version of the PHIN Messaging Guide for Syndromic Surveillance. This Guide expands on previous versions and includes specifications for transmitting… read more… with hospitals – It is not, however…. • A guidance for ambulatory clinical seCngs in general … their syndromic surveillance systems – Provides guidance for local implementaBons of syndromic … -
Communities of Practice: Advancing the Practice of Surveillance
Content Type: Presentation Slides
These slides were presented as a 60 minute oral presentation at the 2018 Public Health Informatics Conference in Atlanta Georgia. Learning Objective To share our experiences at ISDS with setting up and managing communities of… read more… & Group Calendars Member Directory Forums Shared Documents Latest News Messaging NSSP CoP Tools 3-4 min Cat … Supporting Group Leaders Engagement performance reports Guidance Documents Next Steps 3 min Shandy In addition to … -
Text mining using tidy data principles
Content Type: Webinar
Presented April 25, 2018. Text data is increasingly important in many domains, and tidy data principles and tidy tools can make text mining easier and more effective. I will demonstrate how we can manipulate, summarize, and visualize the… read more… Julia Silge , PhD, Data Scientist, Stack Overflow Document Silge_Text_Mining.pdf View Julia Silge's blog here … rows Which words contribute to each sentiment? WHAT IS A DOCUMENT ABOUT? T I D Y T E X T TERM FREQUENCY INVERSE DOCUMENT FREQUENCY TF-IDF T I D Y T E X T > book_words <- … -
Visualization of Syndromic Surveillance Using GIS
Content Type: Abstract
Syndromic Surveillance has been in use in New York City since 2001, with 2.5 million visits reported from 39 participating emergency departments, covering an estimated 75% of annual visits. As syndromic surveillance becomes increasingly spatial and… read more… with GIS can standardize and expedite results. Document … user processes provides a way to standardize analysis, document procedures and more effectively complete GIS … -
Validation of Data from Medical Registrations in The Netherlands for Syndromic Surveillance Use: Comparing Respiratory Syndromes with Laboratory Surveillance
Content Type: Abstract
Objective To study if syndromic surveillance would have an added value over existing surveillance systems, we retrospectively evaluated whether known trends in respiratory pathogens are reflected in medical registrations in the… read more… using the CDC syndrome grouping of ICD9 codes as a guidance after translating the codes to the coding systems … -
Evolution of a Syndromic Surveillance Case Definition
Content Type: Abstract
In North Carolina, select hospital emergency departments have been submitting data since 2003 for use in syndromic surveillance. These data are collected, stored, and parsed into syndrome categories by the North Carolina… read more… its ability to capture the appropriate syndromic cases. Document … derived case definition terms from the consensus document text description of smallpox and modified these … -
Identifying Syndromic Fingerprints in Reason Fields in Emergency Department or Telehealth Records using N-grams for Similarity Analysis
Content Type: Abstract
An N-gram is a sub-sequence of n items from a given sequence where n can be 1, 2,…, n and the items can be letters or words. N-gram models are widely used in statistical natural language processing [3]. In the syndromic surveillance context, N-grams… read more… that these fingerprints are valuable for classification. Document … Text categori- sation”, Proceedings of Symposium on Document Analysis and Information Retrieval, Las Vegas, NV. …
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