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PLANES: Plausibility analysis of epidemiological signals
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Journal Article
PLANES: Plausibility analysis of epidemiological signals
2025
Overview
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 ( PL ausibility AN alysis of E pidemiological S ignals) 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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
