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UPDATED: Syndromic Surveillance 101 - Introduction to R for Health Surveillance


In this 26 minute video, Eric Bakota offers an overview of a free statistical package, R, and an overview of commonly used tips and tricks shared in the surveillance community for analysis work in R.


  • Overview of R and R Studio
  • Introduction to the ‘Tidyverse’ concept (system of packages for data manipulation, exploration and visualization)
  • Overview of dplyr (a package which provides a set of tools for efficiently manipulating datasets in R)
  • Explanation of the ISDS R Group for BioSurveillance and an invitation to join


Eric Bakota, MS, Analyst, Harris County (Texas) Public Health Department


Financial support for the project was provided by the Centers for Disease Control and Prevention through the National Surveillance Program Community of Practice (NSSP-CoP): Strengthening Health Surveillance Capabilities Nationwide Cooperative Agreement (Grant #1 NU500E000098-01).

Submitted by elamb on