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Updated: Jun 25, 2026

High-throughput Detection Method for Influenza Virus
Published on: February 4, 2012
PLANES: Plausibility analysis of epidemiological signals
V P Nagraj1, Amy E Benefield1, Desiree Williams1
1Signature Science, LLC, Charlottesville, Virginia, United States of America.
Abstract:
Methods for reviewing epidemiological signals are necessary to building and maintaining data-driven public health capabilities. We have developed a novel approach for assessing the plausibility of infectious disease forecasts and surveillance data. The PLANES (PLausibility ANalysis of Epidemiological Signals) methodology is designed to be multi-dimensional and flexible, yielding an overall score based on individual component assessments that can be applied at various temporal and spatial granularities. Here we describe PLANES, provide a demonstration analysis, and discuss how to use the open-source rplanes R package. PLANES aims to enable modelers and public health end-users to evaluate forecast plausibility and surveillance data integrity, ultimately improving early warning systems and informing evidence-based decision-making.
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