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      Digital tools against COVID-19: taxonomy, ethical challenges, and navigation aid

      , , , ,
      The Lancet Digital Health
      Elsevier BV

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          Abstract

          Summary Data collection and processing via digital public health technologies are being promoted worldwide by governments and private companies as strategic remedies for mitigating the COVID-19 pandemic and loosening lockdown measures. However, the ethical and legal boundaries of deploying digital tools for disease surveillance and control purposes are unclear, and a rapidly evolving debate has emerged globally around the promises and risks of mobilising digital tools for public health. To help scientists and policy makers to navigate technological and ethical uncertainty, we present a typology of the primary digital public health applications that are in use. These include proximity and contact tracing, symptom monitoring, quarantine control, and flow modelling. For each, we discuss context-specific risks, cross-sectional issues, and ethical concerns. Finally, recognising the need for practical guidance, we propose a navigation aid for policy makers and other decision makers for the ethical development and use of digital public health tools.

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          Most cited references33

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          Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing

          The newly emergent human virus SARS-CoV-2 is resulting in high fatality rates and incapacitated health systems. Preventing further transmission is a priority. We analyzed key parameters of epidemic spread to estimate the contribution of different transmission routes and determine requirements for case isolation and contact-tracing needed to stop the epidemic. We conclude that viral spread is too fast to be contained by manual contact tracing, but could be controlled if this process was faster, more efficient and happened at scale. A contact-tracing App which builds a memory of proximity contacts and immediately notifies contacts of positive cases can achieve epidemic control if used by enough people. By targeting recommendations to only those at risk, epidemics could be contained without need for mass quarantines (‘lock-downs’) that are harmful to society. We discuss the ethical requirements for an intervention of this kind.
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            Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing

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              The Role of Telehealth in Reducing the Mental Health Burden from COVID-19

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                Author and article information

                Journal
                The Lancet Digital Health
                The Lancet Digital Health
                Elsevier BV
                25897500
                June 2020
                June 2020
                Article
                10.1016/S2589-7500(20)30137-0
                2336f700-4366-4f3b-9834-6393140b9a7f
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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