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10.2196/23461

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suck abstract from ncbi


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pmid33999832      JMIR+Form+Res 2021 ; 5 (5): e23461
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  • Digital Phenotypes for Understanding Individuals Compliance With COVID-19 Policies and Personalized Nudges: Longitudinal Observational Study #MMPMID33999832
  • Ibrahim A; Zhang H; Clinch S; Poliakoff E; Parsia B; Harper S
  • JMIR Form Res 2021[May]; 5 (5): e23461 PMID33999832show ga
  • BACKGROUND: Governments promote behavioral policies such as social distancing and phased reopening to control the spread of COVID-19. Digital phenotyping helps promote the compliance with these policies through the personalized behavioral knowledge it produces. OBJECTIVE: This study investigated the value of smartphone-derived digital phenotypes in (1) analyzing individuals' compliance with COVID-19 policies through behavioral responses and (2) suggesting ways to personalize communication through those policies. METHODS: We conducted longitudinal experiments that started before the outbreak of COVID-19 and continued during the pandemic. A total of 16 participants were recruited before the pandemic, and a smartphone sensing app was installed for each of them. We then assessed individual compliance with COVID-19 policies and their impact on habitual behaviors. RESULTS: Our results show a significant change in people's mobility (P<.001) as a result of COVID-19 regulations, from an average of 10 visited places every week to approximately 2 places a week. We also discussed our results within the context of nudges used by the National Health Service in the United Kingdom to promote COVID-19 regulations. CONCLUSIONS: Our findings show that digital phenotyping has substantial value in understanding people's behavior during a pandemic. Behavioral features extracted from digital phenotypes can facilitate the personalization of and compliance with behavioral policies. A rule-based messaging system can be implemented to deliver nudges on the basis of digital phenotyping.
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