SleepOMICS: How Big Data Can Revolutionize Sleep Science

Nicola Luigi Bragazzi, Ottavia Guglielmi and Sergio Garbarino
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Nicola Luigi Bragazzi: Department of Health Sciences (DISSAL), Postgraduate School of Public Health, Genoa University, 16132 Genoa, Italy
Ottavia Guglielmi: Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Genoa University, 16132 Genoa, Italy
Sergio Garbarino: Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Genoa University, 16132 Genoa, Italy

IJERPH, 2019, vol. 16, issue 2, 1-13

Abstract: Sleep disorders have reached epidemic proportions worldwide, affecting the youth as well as the elderly, crossing the entire lifespan in both developed and developing countries. “Real-life” behavioral (sensor-based), molecular, digital, and epidemiological big data represent a source of an impressive wealth of information that can be exploited in order to advance the field of sleep research. It can be anticipated that big data will have a profound impact, potentially enabling the dissection of differences and oscillations in sleep dynamics and architecture at the individual level (“sleepOMICS”), thus paving the way for a targeted, “one-size-does-not-fit-all” management of sleep disorders (“precision sleep medicine”).

Keywords: sleep; sleep disorders; big data; OMICS sciences; connectomics; wearable sensors; behavioral informatics; infodemiology; infoveillance; personalized sleep medicine; precision sleep medicine (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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