ArticleInternational journal of environmental research and public health2020
Shifting the Paradigm: The Dress-COV Telegram Bot as a Tool for Participatory Medicine.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Towards a Conceptual Participatory Framework to Promote Health Literacy in Adolescents by Integrating Self-Determination Theory and Game Design.International journal of environmental research and public health · 2026Article
- A Telegram-based behavioral intervention for smoking cessation after myocardial infarction: A study protocol of a pragmatic, single-blind, randomized trial.Tobacco prevention & cessation · 2026Article
- Use of Artificial Intelligence in Public Health Education for Pandemic Preparedness and Response.Annals of global health · 2026Review
- Behavioral factors affecting data quality and information utilization in health facilities in ethiopia, 2023: an exploratory qualitative study.Archives of public health = Archives belges de sante publique · 2025Article
- Pathophysiologic Basis of Connected Health Systems.Journal of medical Internet research · 2023Article
- Development and Testing of the Smart Healthcare Prototype System through COVID-19 Patient Innovation.Healthcare (Basel, Switzerland) · 2023Article
- Self-care for coronavirus disease through electronic health technologies: A scoping review.Health science reports · 2023Article
- Promote Community Engagement in Participatory Research for Improving Breast Cancer Prevention: The P.I.N.K. Study Framework.Cancers · 2022Article
- Participation in Low Back Pain Management: It Is Time for the To-Be Scenarios in Digital Public Health.International journal of environmental research and public health · 2022Article
- Facing the National Recovery and Resilience Plan: Sources of Data, Indicators, and Participatory Strategies in Healthcare and Social Fields.International journal of environmental research and public health · 2021Article
- Image-Based Wheat Fungi Diseases Identification by Deep Learning.Plants (Basel, Switzerland) · 2021Article
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Authors and funding
9 authors.
Funding
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Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic management is limited by great uncertainty, for both health systems and citizens. Facing this information gap requires a paradigm shift from traditional approaches to healthcare to the participatory model of improving health. This work describes the design and function of the Doing Risk sElf-assessment and Social health Support for COVID (Dress-COV) system. It aims to establish a lasting link between the user and the tool; thus, enabling modeling of the data to assess individual risk of infection, or developing complications, to improve the individual's self-empowerment. The system uses bot technology of the Telegram application. The risk assessment includes the collection of user responses and the modeling of data by machine learning models, with increasing appropriateness based on the number of users who join the system. The main results reflect: (a) the individual's compliance with the tool; (b) the security and versatility of the architecture; (c) support and promotion of self-management of behavior to accommodate surveillance system delays; (d) the potential to support territorial health providers, e.g., the daily efforts of general practitioners (during this pandemic, as well as in their routine practices). These results are unique to Dress-COV and distinguish our system from classical surveillance applications.
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Registered trials
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