A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open...

Area of Science:

• Epidemiology
• Geospatial analysis
• Computational modeling

Background:

• The COVID-19 pandemic highlighted the need for robust data resources.
• Existing datasets and dashboards lack the multiscale and multifaceted capabilities required for advanced modeling.
• Computational epidemiology literature emphasizes the importance of multiscale and multifaceted simulations.

Purpose of the Study:

• To present a curated multiscale geospatial dataset for COVID-19 research.
• To introduce an interactive visualization dashboard for exploring disease spread and policy impacts.
• To provide an open resource for diverse scientific studies, including COVID-19 and geospatial analyses.

Main Methods:

• Development of a comprehensive multiscale geospatial dataset.
• Creation of an interactive visualization platform.
• Integration of policy data with epidemiological spread at various scales.

Main Results:

• A publicly accessible dataset enabling multiscale and multifaceted research.
• An interactive tool for visualizing COVID-19 spread from country to neighborhood levels.
• The capability to analyze the epidemiological impact of various public health policies.

Conclusions:

• The developed dataset and dashboard address critical gaps in COVID-19 research infrastructure.
• This open resource facilitates advanced computational epidemiology and policy impact analysis.
• Researchers can leverage this platform for COVID-19 studies and broader geospatial scientific investigations.