rplanes

rplanes provides functions to prepare data and analyze forecasted and reported epidemiological signals for assessing the plausibility of infectious disease forecasts and surveillance data.

Key Features:

• Multi-dimensional plausibility assessment: The methodology yields an overall score based on individual component assessments.
• Flexible granularity: Assessments can be applied at various temporal and spatial granularities.
• Data preparation functions: Functions prepare epidemiological data for plausibility analysis.
• Signal analysis functions: Functions analyze both forecasted and reported epidemiological signals.

Scientific Applications:

• Forecast plausibility evaluation: Enables modelers to evaluate the plausibility of infectious disease forecasts.
• Surveillance data integrity assessment: Allows public health end-users to evaluate surveillance data integrity.
• Early warning system improvement: Supports improvement of early warning systems for infectious disease monitoring.
• Evidence-based decision-making: Informs evidence-based public health decision-making.

Methodology:

The PLANES methodology uses individual component assessments that are combined into an overall plausibility score.