CDC Health Information Innovation Consortium (CHIIC) November 8 Forum

Tuesday, November 8, 2016 from 10:00am - 11:00am ET

Chamblee Building 106, Room 1A + webinar

Agenda

1. Introduction – Brian Lee – 10 minutes
2. U.S.- Mexico Border Early Warning Disease Surveillance for Dengue and Chikungunya - Stephen Waterman (NCEZID) - 20 minutes
   [Full Project Description]
   
   Zika, chikungunya, and dengue have surged in the Americas over the past several years and pose serious health threats in regions of the U.S. where Ae. aegypti and Ae. albopictus mosquito vectors occur.  Ae. aegypti have been detected up to 6 months of the year or longer in parts of Arizona, Florida, and Texas where mosquito surveillance is regularly conducted.  However, many areas in the U.S. lack basic data on vector presence or absence. The Zika, dengue, and chikungunya viruses range in pathogenicity, but all include asymptomatic or mild presentations for which individuals may not seek care. Traditional passive surveillance systems rely on confirmatory laboratory testing and may not detect emergent disease until there is high morbidity in a community or severe disease presentation. Participatory surveillance is an approach to disease detection that allows the public to directly report symptoms electronically and provides rapid visualization of aggregated data to the user and public health agencies. Several such systems have been shown to be sensitive, accurate, and timelier than traditional surveillance. We developed Kidenga, a mobile phone app and participatory surveillance system, to address some of the challenges in early detection of day-biting mosquitoes and Aedes-borne arboviruses and to enhance dissemination of information to at-risk communities.
3. STD Analysis and Visualization Tool (SAViT) – Rodney Presley & Massimo Mirabito (NCHHSTP) - 20 minutes
   [Full Project Description]
   
   The Division of STD is actively implementing a SQL data store for STD morbidity and sentinel surveillance data with the intent of replacing the current data storage structure, consisting of project-specific network file shares with SAS data sets. The Division’s main in-house data visualization and reporting tool, STDNet, was initially developed over a decade ago.  STDNet is a SAS/Intranet web application housed on the CDC intranet and available to approved users in DSTDP and other parts of CDC.  Transitioning to a forward looking data architecture affords DSTDP the opportunity to also move to more sophisticated internal data analysis and visualization tools.  As background between March 2015 and July 2015 CHIC funded the STD Analysis and Visualization Tools (SAViT) project to review visualization tools as a direct result of the data architecture initiative. The study objectives included:
   
   • Develop a list of data visualization tools and platforms currently available in the market
   • Define a set of technical evaluation criteria to help the selection process
   • Perform a high level assessment of technologies
   • Identify technologies  to be considered for pilot projects
   • Provide general recommendations and next steps

   This presentation will review the capabilities and limitations of STD Net, desirable capabilities of a new data visualization tool, the findings and recommendations of the STD Analysis and Visualization Tools (SAViT) project, and next steps for updating data visualization capabilities.

4. Discussion & Suggestions – 10 minutes

Forum materials:

• Kidenga: Community-based Surveillance and Education App
• STD Analysis and Visualization Tool (SAViT)
• Items of Interest
• Forum Notes

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