Data quality monitoring for syndromic surveillance using R: A tidy approach

Description: 

Presented July 27, 2017.

The inferences we make from data can only be as good as the quality of the data; making sure that we are receiving timely, quality data is important. In this presentation, Mark White will describe a number of functions that he has written to perform data quality checks on Kansas emergency department records from NSSP’s BioSense Platform.

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

September 21, 2017

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Email: syndromic@cste.org

 

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