This RStudio API guide provides an overview of the ESSENCE APIs and how to access them through RStudio. We will begin with a very brief explanation of application programming interfaces (APIs), then list what APIs are available in ESSENCE, and finally expose you to basic examples of R code and packages so that you can start using RStudio to access ESSENCE data, create your own R Markdown reports and Shiny applications, or do exploratory analyses not possible within ESSENCE.
R
Resources related to the programming language R.
SaTScan software is used widely in outbreak detection. It's free, flexible, and fast. However, it is somewhat cumbersome, in that access is primarily through a GUI. While this is probably best for occasional use, it does not lend itself to automated analysis, storage and re-use of surveillance results, or to methodological investigations of the properties of the methods implemented in SaTScan.
Presented April 22, 2019.
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
Description
A review of the development of veterinary syndromic surveillance in 2011 indicated that the field was incipient, but fast growing. Many countries are starting to explore different sources of data for syndromic surveillance. Some of the data streams evaluated share similarities with those used in public health syndromic surveillance, such as clinical records and laboratory data. However, many unique animal data sources have arisen, such as abattoir and carcass collection data. We suggest there are three main challenges in the current development of animal syndromic surveillance: The lack of standards in disease classification; The development of statistical methods appropriate to deal with animal data; The creation of ready-to-use tools that employ these statistical methods.
Objective
To summarize the challenges in the development of syndromic surveillance tools in veterinary medicine, and describe the development of an R package to address some of the current gaps.
Presenter April 30, 2018.