A Global Digital Citizen Science Policy to Tackle Pandemics Like COVID-19

Author:

Katapally Tarun RORCID

Abstract

The coronavirus disease (COVID-19) pandemic is an extremely complex existential threat that requires cohesive societal effort to address health system inefficiencies. When our society has faced existential crises in the past, we have banded together by using the technology at hand to overcome them. The COVID-19 pandemic is one such threat that requires not only a cohesive effort, but also enormous trust to follow public health guidelines, maintain social distance, and share necessities. However, are democratic societies with civil liberties capable of doing this? Mobile technology has immense potential for addressing pandemics like COVID-19, as it gives us access to big data in terms of volume, velocity, veracity, and variety. These data are particularly relevant to understand and mitigate the spread of pandemics such as COVID-19. In order for such intensive and potentially intrusive data collection measures to succeed, we need a cohesive societal effort with full buy-in from citizens and their representatives. This article outlines an evidence-based global digital citizen science policy that provides the theoretical and methodological foundation for ethically sourcing big data from citizens to tackle pandemics such as COVID-19.

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Reference33 articles.

1. CohutMMedical News Today202003242020-04-09Why social distancing is key in containing the new coronavirushttps://www.medicalnewstoday.com/articles/why-social-distancing-is-key-in-containing-the-new-coronavirus

2. Government of Canada20202020-04-09Community-based measures to mitigate the spread of coronavirus disease (COVID-19) in Canadahttps://www.canada.ca/en/public-health/services/diseases/2019-novel-coronavirus-infection/health-professionals/public-health-measures-mitigate-covid-19.html

3. Statista2020-01-16Smartphone users worldwide 2020https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/

4. Improved heading estimation for smartphone-based indoor positioning systems

5. Tracking the Evolution of Smartphone Sensing for Monitoring Human Movement

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