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This study created a COVID-19 impact analysis platform using anonymized mobile data to track mobility and social distancing. The platform provides daily updates to inform public health decisions and understand the pandemic's community effects.

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Area of Science:

  • Epidemiology
  • Public Health
  • Data Science

Background:

  • The COVID-19 pandemic necessitated novel approaches to monitor disease spread and public behavior.
  • Understanding the impact of government orders on population mobility is crucial for effective public health strategies.

Purpose of the Study:

  • To develop and present a COVID-19 impact analysis platform.
  • To inform decision-makers about the effects of COVID-19 and related policies on community mobility and social distancing.

Main Methods:

  • Utilized privacy-protected mobile device location data, COVID-19 case data, and census population data.
  • Processed anonymized location data to identify trips and generate metrics like social distancing index and percentage of people staying at home.
  • Aggregated and scaled results to county and state levels for privacy protection and population representation.

Main Results:

  • Developed a daily updated, interactive analytical tool for COVID-19 impact assessment.
  • Generated key variables including social distancing index, stay-at-home percentages, and travel patterns.
  • Data is publicly available from January 1, 2020, for benchmarking and informed decision-making.

Conclusions:

  • The platform offers a valuable resource for public officials to monitor and respond to COVID-19 impacts.
  • Daily updated, privacy-protected data enables continuous assessment of mobility and social distancing trends.
  • The methodology provides a scalable approach for analyzing population-level responses to public health crises.