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10.4414/smw.2020.20282 http://scihub22266oqcxt.onion/10.4414/smw.2020.20282 32418194!ä!32418194 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Swiss+Med+Wkly 2020 ; 150 (ä): w20282 Nephropedia Template TP {{tp|p=32418194|t=2020. Digital health and the COVID-19 epidemic: an assessment framework for apps from an epidemiological and legal perspective |pdf=|usr=}}{{32418194}} gab.com Text Digital health and the COVID-19 epidemic: an assessment framework for apps from an epidemiological and legal perspective JO: Swiss Med Wkly http://www.kidney.de/pget.php?&tw=1&pmid=32418194 #FOAvip 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. Twit Text FOAVip Digital health and the COVID-19 epidemic: an assessment framework for apps from an epidemiological and legal perspective ????Swiss Med Wkly http://www.kidney.de/pget.php?&tw=1&pmid=32418194 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32418194 #FOAvip English Wikipedia <ref>{{Cite pmid|32418194}}</ref> Digital health and the COVID-19 epidemic: an assessment framework for apps from an epidemiological and legal perspective #MMPMID32418194 Vokinger KN; Nittas V; Witt CM; Fabrikant SI; von Wyl V Swiss Med Wkly 2020[May]; 150 (ä): w20282 PMID32418194show ga 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. |*Coronavirus[MESH] |*Coronavirus Infections/epidemiology/prevention & control[MESH] |*Mobile Applications[MESH] |*Pneumonia, Viral/epidemiology/prevention & control[MESH] |*Smartphone[MESH] |*Telemedicine[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Checklist/*standards[MESH] |Contact Tracing[MESH] |Geographic Information Systems[MESH] |Humans[MESH] |Medical Informatics Applications[MESH] |Pandemics/*prevention & control[MESH] |Privacy[MESH]Digital health and the COVID-19 epidemic: an assessment framework for (epmc).pdf DeepDyve Pubget Overpricing