35
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

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

      review-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Related collections

          Most cited references33

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found

            Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found

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

                Bookmark

                Author and article information

                Contributors
                Journal
                Lancet Digit Health
                Lancet Digit Health
                The Lancet. Digital Health
                The Author(s). Published by Elsevier Ltd.
                2589-7500
                29 June 2020
                29 June 2020
                Affiliations
                [a ]Berkman Klein Center for Internet & Society, Harvard Law School, Harvard University, Cambridge, MA, USA
                [b ]Health Ethics and Policy Laboratory, Department of Health Sciences and Technology, Swiss Federal Institute of Technology in Zurich, Zurich, Switzerland
                Author notes
                [* ]Correspondence to: Prof Effy Vayena, Health Ethics and Policy Laboratory, Department of Health Sciences and Technology, Swiss Federal Institute of Technology in Zurich, Zurich 8092, Switzerland effy.vayena@ 123456hest.ethz.ch
                Article
                S2589-7500(20)30137-0
                10.1016/S2589-7500(20)30137-0
                7324107
                32835200
                2336f700-4366-4f3b-9834-6393140b9a7f
                © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                Categories
                Article

                Comments

                Comment on this article