13 Does the ‘Canada COVID-19 alert’ app stand up to critical scrutiny? A rapid qualitative assessment

Gómez-Ramírez, Oralia; Medeiros, Pedro Diógenes Peixoto de; Wainer, Rafael; Iyamu, Ihoghosa

doi:10.1136/bmjopen-2021-qhrn.13

Cited by 4 publications

(2 citation statements)

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“…In Canada, for example, an early proposal included behavioral analytics, which might predict the movements of infected people based on certain characteristics (Alsdurf et al, 2020 ). After public consultation, what was launched was much simpler, using Bluetooth to let people know if they had come within 2 m of an infected person (Gómez-Ramírez et al, 2021 ). Data entry was voluntary, and the government stored no personally identifiable information.…”

Section: The Use Of Ai In Public Healthmentioning

confidence: 99%

Local transplantation, adaptation, and creation of AI models for public health policy

Fournier-Tombs

2023

Front. Artif. Intell.

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This paper presents the Transplantation, Adaptation and Creation (TAC) framework, a method for assessing the localization of different elements of an AI system. This framework is applied in the public health context, notably to different types of models that were used during the COVID-19 pandemic. The framework aims to guide AI for public health developers and public health officials in conceptualizing model localization. The paper provides guidance justifying the importance of model localization, within a broader context of policy models, geopolitics and decolonization. It also suggests procedures for moving between the different elements in the framework, for example going from transplantation to adapation, and from adaptation to creation. This paper is submitted as part of a special research topic entitled: A digitally-enabled, science-based global pandemic preparedness and response scheme: how ready are we for the next pandemic?

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Section: The Use Of Ai In Public Healthmentioning

confidence: 99%

Local transplantation, adaptation, and creation of AI models for public health policy

Fournier-Tombs

2023

Front. Artif. Intell.

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“…Contact tracing, IoT, Big-data analytics, and AI) to fight the COVID-19 pandemic [1]. Singapore used an AI Chatbot, Hong Kong and South Korea used contact tracing technology, Canada and Australia used (COVID Alert app) and (COVIDSafe app) respectively to prevent and inform citizens about COVID-19 [1][2][3]. Undeveloped countries, on the other hand, are quasi unable to create or use digital technology to prevent and fight the pandemic COVID-19.…”

Section: Introductionmentioning

confidence: 99%

Mobile-Based Self-Care Application for COVID-19: Development Process Using the ADDIE Model

Saeidnia

Ausloos

Mohammadzadeh

et al. 2022

Studies in Health Technology and Informatics

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During the COVID-19 era, technology-enhanced protection of this disease has saved lives in developed countries in which citizens have the privilege of accessing and using such technologies to fight Coronavirus. In the undeveloped countries, on the other hand, citizens have had no accession or ability to use digital technologies to prevent COVID-19. Having this in front, in the MyShield research project, we aim to address how to teach self-care skills in undeveloped countries in the era of COVID-19 using a mobile low-cost application effectively based on a standard educational model (ADDIE). This paper reports a framework that arises from the results of semi-structured interviews and online workshops conducted in the ADDIE design process for the self-care mobile application. The specialists contributed to indicte the appropriate content for teaching self-care skills while informants contributed to optimize the user experience flow.

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Approaches to enabling rapid evaluation of innovations in health and social care: a scoping review of evidence from high-income countries

et al. 2022

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ObjectiveThe COVID-19 pandemic increased the demand for rapid evaluation of innovation in health and social care. Assessment of rapid methodologies is lacking although challenges in ensuring rigour and effective use of resources are known. We mapped reports of rapid evaluations of health and social care innovations, categorised different approaches to rapid evaluation, explored comparative benefits of rapid evaluation, and identified knowledge gaps.DesignScoping review.Data sourcesMEDLINE, EMBASE and Health Management Information Consortium (HMIC) databases were searched through 13 September 2022.Eligibility criteria for selecting studiesWe included publications reporting primary research or methods for rapid evaluation of interventions or services in health and social care in high-income countries.Data extraction and synthesisTwo reviewers developed and piloted a data extraction form. One reviewer extracted data, a second reviewer checked 10% of the studies; disagreements and uncertainty were resolved through consensus. We used narrative synthesis to map different approaches to conducting rapid evaluation.ResultsWe identified 16 759 records and included 162 which met inclusion criteria.We identified four main approaches for rapid evaluation: (1) Using methodology designed specifically for rapid evaluation; (2) Increasing rapidity by doing less or using less time-intensive methodology; (3) Using alternative technologies and/or data to increase speed of existing evaluation method; (4) Adapting part of non-rapid evaluation.The COVID-19 pandemic resulted in an increase in publications and some limited changes in identified methods. We found little research comparing rapid and non-rapid evaluation.ConclusionsWe found a lack of clarity about what ‘rapid evaluation’ means but identified some useful preliminary categories. There is a need for clarity and consistency about what constitutes rapid evaluation; consistent terminology in reporting evaluations as rapid; development of specific methodologies for making evaluation more rapid; and assessment of advantages and disadvantages of rapid methodology in terms of rigour, cost and impact.

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13 Does the ‘Canada COVID-19 alert’ app stand up to critical scrutiny? A rapid qualitative assessment

Cited by 4 publications

References 0 publications

Local transplantation, adaptation, and creation of AI models for public health policy

Local transplantation, adaptation, and creation of AI models for public health policy

Mobile-Based Self-Care Application for COVID-19: Development Process Using the ADDIE Model

Approaches to enabling rapid evaluation of innovations in health and social care: a scoping review of evidence from high-income countries

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