Opioid Overdose Surveillance and Classification with R

Presented November 16, 2018.

November 30, 2018

Interactive Reporting & Dashboards in R Markdown - Intermediate & Advanced

Presented October 23, 2018.

Presenter

Edgar Ruiz is a solution's engineer at RStudio that has a background in deploying enterprise reporting and Business Intelligence solutions. He has posted multiple articles and blog posts sharing analytics insights and server infrastructure for Data Science. He lives with his family near Biloxi, MS. 

October 30, 2018

New Features in R Markdown & HTML Widgets - Intermediate & Advanced

Presented September 25, 2018.

Presenter

Edgar Ruiz is a solution's engineer at RStudio that has a background in deploying enterprise reporting and Business Intelligence solutions. He has posted multiple articles and blog posts sharing analytics insights and server infrastructure for Data Science. He lives with his family near Biloxi, MS. 

September 28, 2018

An Introduction to RStudio & R Markdown webinar - Beginner & Intermediate

Presented August 21, 2018 to the R Group for Biosurveillance.

Presenters

August 28, 2018

Text mining using tidy data principles

Presented April 25, 2018.

April 26, 2018

Using databases and dplyr to work with data in R

Presenter April 30, 2018.

April 30, 2018

Analyze US Census Data in R with tidycensus

Presented February 19, 2018.

February 19, 2018

Using R for Disease Surveillance + Enabling Citizen Data Science and Cybersecurity/safety Tips for Scientists

The R programming language has become a critical data science tool for the scientific community but has also helped launch a new era of “citizen data scientists” due to the wealth of packages that make it easy to access rich data sources, perform a wide array of computations and produce striking and informative visualizations. This talk will review the history of the ‘cdcfluview’ package, show how it has been used by researchers and citizens, and provide insight into the rationale that created it.

January 24, 2018

Beginner R methods for syndromic surveillance data validation

There are currently 123 healthcare facilities sending data to the Washington (WA) State syndromic surveillance program. Of these facilities, 30 are sending to the National Syndromic Surveillance Program'™s (NSSP) production environment. The remainder are undergoing validation or in queue for validation. Given the large number of WA healthcare facilities awaiting validation, staff within the state syndromic surveillance program developed methods in R to reduce the amount of time required to validate data from an individual facility.

Objective:

January 25, 2018

Pages

Contact Us

National Syndromic
Surveillance Program

Email:nssp@cdc.gov

The National Syndromic Surveillance Program (NSSP) is a collaboration among states and public health jurisdictions that contribute data to the BioSense Platform, public health practitioners who use local syndromic surveillance systems, Center for Disease Control and Prevention programs, other federal agencies, partner organizations, hospitals, healthcare professionals, and academic institutions.

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