- Why the syndrome was created? This syndrome was created to monitor Lyme disease related emergency room visits using regular expressions in R.
- Syndromic surveillance system (e.g., ESSENCE, R STUDIO, RODS, etc.) Data collected from Epicenter, but parsed and analysed in R/Rstudio
- Data sources the syndrome was used on (e.g., Emergency room, EMS, Air Quality, etc.) Emergency room and Urgent Care
RStudio
Presented November 16, 2018.
The current opioid overdose/addiction crisis in the United States presents a challenge to public health intervention due to a lack of data on current and past incidence. Very little information is known regarding what is happening when/where and in comparison to the past. Marin County, California is addressing the lack of clarity in opioid overdose data by designing a novel cloud-based system to identify opioid overdoses for both surveillance and outreach purposes using county owned Emergency Medical Services (EMS) data.
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.
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.
Presented August 21, 2018 to the R Group for Biosurveillance.
Presenters