2018
DOI: 10.1186/s40504-018-0076-z
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Individuals on alert: digital epidemiology and the individualization of surveillance

Abstract: This article examines how digital epidemiology and eHealth coalesce into a powerful health surveillance system that fundamentally changes present notions of body and health. In the age of Big Data and Quantified Self, the conceptual and practical distinctions between individual and population body, personal and public health, surveillance and health care are diminishing. Expanding on Armstrong’s concept of “surveillance medicine” to “quantified self medicine” and drawing on my own research on the symbolic powe… Show more

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Cited by 30 publications
(33 citation statements)
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“…Artificial intelligence techniques of real time surveillance of digital medical records, for example, have proven to be superior to clinician assessments of suicide risk using structured instruments [65,66]. Indeed, sensitivity and specificity permitting, digital surveillance tools enhanced by artificial intelligence may usher in a new era of more responsive and deliberate public health interventions allowing experts to track the progress or the effects of targeted interventions in near real time [64,67]. Regardless of biomarker type, a careful process of translation is required to ensure they are implemented effectively.…”
Section: Brain Imaging and Digital Biomarkers Could Contribute To Thementioning
confidence: 99%
“…Artificial intelligence techniques of real time surveillance of digital medical records, for example, have proven to be superior to clinician assessments of suicide risk using structured instruments [65,66]. Indeed, sensitivity and specificity permitting, digital surveillance tools enhanced by artificial intelligence may usher in a new era of more responsive and deliberate public health interventions allowing experts to track the progress or the effects of targeted interventions in near real time [64,67]. Regardless of biomarker type, a careful process of translation is required to ensure they are implemented effectively.…”
Section: Brain Imaging and Digital Biomarkers Could Contribute To Thementioning
confidence: 99%
“…Samerski [41] defined e-health as follows: personal health management on the basis of statistical analyses of individual data (X). Regarding e-health, they propose digital epidemiology and digital health monitoring (X').…”
Section: Qualitative Analysis: the Three-level Modelmentioning
confidence: 99%
“…The purpose of data processing would be not only to precisely cure the individual, but to prevent illness and maintain the health of every citizen. Having every (or at least many) citizens involved would provide the desired benefit through big data analysis ( 15 ). Hence, many citizens would be willing to tick the box “I accept,” if the core of the promise was health.…”
Section: The Interaction Of Health Knowledge and Datamentioning
confidence: 99%