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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Covidseeker: A Geospatial Temporal Surveillance Tool.

Yulin Hswen1,2, Elad Yom-Tov3, Vaidhy Murti4

  • 1Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158, USA.

International Journal of Environmental Research and Public Health
|February 15, 2022
PubMed
Summary

Smartphone geospatial data can enhance public health surveillance. The Covidseeker application captures this data to map COVID-19 transmission patterns and identify high-risk locations for better outbreak monitoring.

Keywords:
COVID-19contact tracingcoronavirusdigital applicationsgeospatial trackinghuman mobilitypublic surveillance

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Area of Science:

  • Public Health
  • Epidemiology
  • Geospatial Science

Background:

  • Smartphone-derived geospatial temporal data offers novel insights for public health surveillance.
  • Traditional methods often lack the granularity to pinpoint disease transmission hotspots effectively.

Purpose of the Study:

  • To develop Covidseeker, a web-based application for capturing and analyzing fine-grained smartphone geospatial temporal data.
  • To leverage this data for studying COVID-19 transmission patterns and identifying locational hotspots.

Main Methods:

  • Development of a web-based application, Covidseeker.
  • Utilization of continuous, fine-grained geospatial temporal data from smartphones.
  • Processing of data to study geospatial temporal patterns of COVID-19 transmission.

Main Results:

  • Covidseeker supports situational awareness by detailing the location and timing of disease transmission.
  • Smartphone data reveals detailed human mobility patterns linked to increased COVID-19 risk.
  • Geospatial temporal data provides highly localized information often missed by traditional surveillance.

Conclusions:

  • Covidseeker demonstrates the potential of integrating smartphone geospatial data into public health surveillance.
  • This approach enhances the understanding of disease transmission dynamics and human mobility.
  • The Covidseeker architecture can be applied to track infectious diseases and should complement existing surveillance practices.