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
In 2016, the CDC funded 12 states, under the Enhanced State Opioid Overdose Surveillance (ESOOS) program, to utilize SyS to increase timeliness of state data on drug overdose events. In order to operationalize the objectives of the grant, there was a need to assess and monitor the quality of Kentuckyâs SyS data, with limited resources. We leveraged the NSSPâs R Studio Server to automate quality assurance (QA) monitoring and reporting to meet these objectives.
Objective:
The aim of this project was to develop a nimble system to both monitor and report on the quality of Kentucky emergency department syndromic surveillance (SyS) data at system-wide and facility levels.