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Developing a Data Integrated COVID-19 Tracking System for Decision-Making and Public Use.

A Krusina1, O Chen1, L O Varela1

  • 1Centre for Health Informatics, Cumming School of Medicine, University of Calgary.

International Journal of Population Data Science
|May 19, 2021
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Summary
This summary is machine-generated.

A COVID-19 Tracker was developed to provide Canadians with real-time, interactive data visualizations on case counts, testing, and hospitalizations to inform public health decisions.

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Area of Science:

  • Public Health Surveillance
  • Health Informatics
  • Data Visualization

Background:

  • The COVID-19 pandemic highlighted the need for advanced public health surveillance tools.
  • The Centre for Health Informatics (CHI) developed a surveillance dashboard to educate the public and aid government decision-making.

Purpose of the Study:

  • To create an interactive "COVID-19 Tracker" for Canada.
  • To offer user-friendly graphics on pandemic aspects like case counts, testing, hospitalizations, and policy interventions.

Main Methods:

  • Utilized six public data sources selected for update frequency, accuracy, and data type.
  • Employed "last observation carried forward" for missing data and an iterative development process.
  • Developed an online, daily-updated website with a backend server.

Main Results:

  • The COVID-19 Tracker visualizes real-time data and policy interventions using interactive, user-friendly graphs.
  • Features include jurisdiction, country/region, and data type customization.
  • Data is presented at national, provincial, and health region levels.

Conclusions:

  • The COVID-19 Tracker provides real-time, detailed, and interactive visualizations for crucial decision-making.
  • The tool aims to inform Albertans and Canadians about the ongoing pandemic.