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PLANES: Plausibility analysis of epidemiological signals

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  • VP Nagraj
  • Amy E Benefield
  • Desiree Williams
  • Stephen D Turner

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.

Suggested Citation

  • VP Nagraj & Amy E Benefield & Desiree Williams & Stephen D Turner, 2025. "PLANES: Plausibility analysis of epidemiological signals," PLOS ONE, Public Library of Science, vol. 20(3), pages 1-14, March.
    • Handle: RePEc:plo:pone00:0320442
    DOI: 10.1371/journal.pone.0320442
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