Your browser doesn't support javascript.
Digital health and the COVID-19 epidemic: an assessment framework for apps from an epidemiological and legal perspective
Non-conventional in English | WHO COVID | ID: covidwho-285144
ABSTRACT
As COVID-19 spreads across the globe, crowdsourced digital technology harbours the potential to improve surveillance and epidemic control, primarily through increased information coverage, higher information speed, fast case tracking and improved proximity tracing. Targeting those aims, COVID-19-related smartphone and web-based health applications are continuously emerging, leading to a multitude of options, raising ethical and legal challenges and potentially overwhelming end users. Building on an existing trustworthiness checklist for digital health applications, we searched the literature and developed a framework to guide the assessment of smartphone and web-based applications that aim to contribute to controlling the current epidemic or mitigating its effects. It further integrates epidemiological subject knowledge and a legal analysis, outlining the mechanisms through which new applications can support the fight against COVID-19. The resulting framework includes 40 questions across 8 domains on “purpose”, “usability”, “information accuracy”, “organisational attributes / reputation”, “transparency”, “privacy”and “user control / self-determination”. All questions should be primarily answerable from publicly available data, as provided by application manufacturers. The framework aims to guide end users in choosing a transparent, safe and valuable application and suggests a set of information items that developers ideally make available to allow a balanced judgement and facilitate the trustworthiness of their products.
Search on Google
Collection: Databases of international organizations Database: WHO COVID Type of study: Observational study Language: English Document Type: Non-conventional

Similar

MEDLINE

...
LILACS

LIS

Search on Google
Collection: Databases of international organizations Database: WHO COVID Type of study: Observational study Language: English Document Type: Non-conventional