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Data Quality: A Systematic Review of the Biosurveillance Literature

OBJECTIVE: To highlight how data quality has been discussed in the biosurveillance literature in order to identify current gaps in knowledge and areas for future research. INTRODUCTION: Data quality monitoring is necessary for accurate disease surveillance. However it can be challenging, especially...

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Bibliographic Details
Main Authors: Reynolds, Tera, Painter, Ian, Streichert, Laura
Format: Artigo
Language:Inglês
Published: University of Illinois at Chicago Library 2013
Subjects:
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC3692854/
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