Digital technology and disease surveillance in the COVID-19 pandemic: a scoping review protocol

Author:

Donelle Lorie,Hall Jodi,Hiebert Brad,Shelley Jacob J,Smith Maxwell J,Gilliland Jason,Stranges Saverio,Kothari AnitaORCID,Burkell Jacquelyn,Cooke Tommy,Long Jed,Shelley James M,Befus Deanna,Comer LeighaORCID,Ngole Marionette,Stanley Meagan

Abstract

IntroductionInfectious diseases pose a risk to public health, requiring efficient strategies for disease prevention. Digital health surveillance technologies provide new opportunities to enhance disease prevention, detection, tracking, reporting and analysis. However, in addition to concerns regarding the effectiveness of these technologies in meeting public health goals, there are also concerns regarding the ethics, legality, safety and sustainability of digital surveillance technologies. This scoping review examines the literature on digital surveillance for public health purposes during the COVID-19 pandemic to identify health-related applications of digital surveillance technologies, and to highlight discussions of the implications of these technologies.Methods and analysisThe scoping review will be guided by the framework proposed by Arksey and O’Malley and the guidelines outlined by Colquhoun et al and Levac et al. We will search Medline (Ovid), PsycInfo, PubMed, Scopus, CINAHL (EBSCOhost), ACM Digital Library, Google Scholar and IEEE Explore for relevant studies published between December 2019 and December 2020. The review will also include grey literature. Data will be managed and analysed through an extraction table and thematic analysis.Ethics and disseminationFindings will be disseminated through traditional academic channels, as well as social media channels and research briefs and infographics. We will target our dissemination to provincial and federal public health organisations, as well as technology companies and community-based organisations managing the public response to the COVID-19 pandemic.

Funder

University of Western Ontario FHS

Publisher

BMJ

Subject

General Medicine

Reference24 articles.

1. Kind C . What will the first pandemic of the algorithmic age mean for data governance? Ada lovelace institute, 2020. Available: https://www.adalovelaceinstitute.org/what-will-the-first-pandemic-of-the-algorithmic-age-mean-for-data-governance/ [Accessed 29 May 2021].

2. Bennet CJ , Haggerty KD , Lyon D . Transparent lives: surveillance in Canada. Edmonton, Alberta: Athabasca University Press, 2014.

3. Lyon D . Surveillance studies: an overview. Oxford: Polity Press, 2007.

4. Response to COVID-19 in Taiwan: big data analytics, new technology, and proactive testing;Wang;JAMA,2020

5. Human Rights Watch [Internet] . Mobile location data and Covid-19: Q&A. Available: https://www.hrw.org/news/2020/05/13/mobile-location-data-and-covid-19-qa [Accessed 29 May 2021].

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