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Related Experiment Video

Updated: Nov 8, 2025

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Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic.

Shinji Kobayashi1, Luis Falcón2, Hamish Fraser3

  • 1National Institute of Public Health, Saitama, Japan.

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|April 21, 2021
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Summary

Open technology, including Free/Libre/Open Source Software (FLOSS) and open data, effectively managed the COVID-19 pandemic and its infodemic. Collaborative open approaches enhance data trust and collective intelligence for public health crises.

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Area of Science:

  • Medical Informatics
  • Public Health
  • Open Technology

Background:

  • The COVID-19 pandemic presented a global health crisis, exacerbated by widespread misinformation (an "infodemic").
  • Addressing this dual challenge required innovative technological and collaborative solutions.

Purpose of the Study:

  • To explore how open technology approaches, such as data sharing and visualization, can combat the COVID-19 pandemic and infodemic.
  • To review the application of Free/Libre/Open Source Software (FLOSS) in managing the pandemic.

Main Methods:

  • Surveyed recent works on FLOSS applications in response to the COVID-19 pandemic.
  • Examined the role of open data and civic technology in collective intelligence.

Main Results:

  • FLOSS projects like GNU Health, OpenMRS, and DHIS2 were deployed early in the pandemic.
  • Global health organizations shared COVID-19 data, supported by FLOSS and open data initiatives.
  • Civic technology and collaborative open source efforts bolstered pandemic management strategies.

Conclusions:

  • Free/Libre/Open Source Software and open data proved instrumental in managing the COVID-19 pandemic.
  • Open collaboration models foster greater trust in public health data during crises.