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.
Highlights
December 2019 saw the appearance of a novel coronavirus, coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
COVID-19 was declared a pandemic by the World Health Organization (WHO)
The Dress-COV system ensures a balance between gathering data from people for identifying characteristics of infected individuals while protecting their privacy, by using a series of key IDs managed within the National Health Care System (NHCS) only
Summary
December 2019 saw the appearance of a novel coronavirus, coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It emerged in China and quickly spread globally. The initial spread of the virus in Italy was noted on 22 February, even though some atypical pneumonia cases had been detected earlier. The number of related cases continued to increase until the Italian government imposed lockdown measures on 9 March. Formulated proportioned and controlled measures to guarantee adequate funding to increase the number of ICU beds and the production of personal protective equipment [2]
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