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RAMPVIS: A visualization and visual analytics infrastructure for COVID-19 data.

Erik Rydow1, Tuna Gönen1, Alexander Kachkaev1

  • 1Oxford e-Research Centre, University of Oxford, Oxford, OX1 3QG, United Kingdom.

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|June 26, 2023
PubMed
Summary
This summary is machine-generated.

RAMPVIS is a new infrastructure for rapid data visualization and visual analytics (VIS) to aid pandemic response. It enables quick visualization of diverse data, supporting epidemiologists and modelers in decision-making.

Keywords:
COVID-19Data visualizationModel developmentOntologyPandemic responsesVisual analytics

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Area of Science:

  • Epidemiology
  • Data Science
  • Public Health Informatics

Background:

  • The COVID-19 pandemic generated vast, diverse datasets requiring advanced analytical tools.
  • Epidemiologists and modelers needed effective visual analytics (VIS) applications for pandemic understanding and response.
  • Existing tools lacked the flexibility to rapidly adapt to evolving data and analytical needs.

Purpose of the Study:

  • To introduce RAMPVIS, an infrastructure for web-based visualization and visual analytics.
  • To support diverse tasks including observation, analysis, model development, and data dissemination.
  • To facilitate rapid data visualization for public health emergencies.

Main Methods:

  • Developed RAMPVIS infrastructure for observational, analytical, model-developmental, and dissemination tasks.
  • Implemented a core feature allowing visualization propagation across similar data sources.
  • Designed for web-based access to support a wide range of users.

Main Results:

  • RAMPVIS provides a flexible infrastructure for visual analytics.
  • The system's "propagate visualization" feature enables rapid analysis of large datasets.
  • Demonstrated potential for adapting RAMPVIS to various data types and emergency scenarios.

Conclusions:

  • RAMPVIS offers a valuable tool for enhancing data-driven decision-making during public health crises.
  • The infrastructure supports efficient exploration and understanding of complex pandemic data.
  • RAMPVIS is adaptable for future emergency response scenarios beyond the COVID-19 pandemic.