PLANES: Plausibility analysis of epidemiological signals

Nagraj Vp, Amy E Benefield, Desiree Williams and Stephen D Turner

PLOS ONE, 2025, vol. 20, issue 3, 1-14

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.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0320442

DOI: 10.1371/journal.pone.0320442

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