R Group for Biosurveillance



The mission of the R Group for Biosurveillance is to connect R users and Advance the Practice of R in Public Health Surveillance


  • Enable new and inexperienced users to gain the skills required for the data management, analysis, and visualization tasks that they seek using the R language.
  • Facilitate the sharing of approaches, programming techniques, and code among current users.
  • Involvement with the growing global community of epidemiologists and developers using R to advance the science of disease surveillance.


The R Group hosts monthly webinars. These webinars typically fall into 3 categories: 

  • Research: A public health researcher who uses R will present their work, as well as the code used to conduct the analysis. These are often highly technical, both in coding and in the statistical analyses used. They are a great way to see what is happening in academia at the intersection of R and surveillance.
  • Practice: A public health practitioner will share an application they made in R. These applications are often in RShiny or RMarkdown. They are tools that could be useful at your agency, and we encourage everyone to explore the code used to make these tools.
  • Tutorials: An experienced R user will provide a tutorial on how to use a package, a set of packages, or conduct a specific type of analysis. These webinars tend to be accessible to every level of R users, including newcomers.

Visit the group's home page for past meeting recordings and meeting materials. You can view all past R Group Webinars (and associated materials) here.

Primary Topic Areas: 
Original Publication Year: 
Event/Publication Date: 
January, 2017

December 28, 2018

Contact Us

National Syndromic
Surveillance Program


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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