Cristin-resultat-ID: 1513558
Sist endret: 7. februar 2018 14:35
NVI-rapporteringsår: 2017
Resultat
Vitenskapelig artikkel
2017

An Early Infectious Disease Outbreak Detection Mechanism Based on Self-Recorded Data from People with Diabetes

Bidragsytere:
  • Ashenafi Zebene Woldaregay
  • Eirik Årsand
  • Taxiarchis Botsis og
  • Gunnar Hartvigsen

Tidsskrift

Studies in Health Technology and Informatics
ISSN 0926-9630
e-ISSN 1879-8365
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2017
Volum: 245
Sider: 619 - 623

Importkilder

Scopus-ID: 2-s2.0-85040515614

Beskrivelse Beskrivelse

Tittel

An Early Infectious Disease Outbreak Detection Mechanism Based on Self-Recorded Data from People with Diabetes

Sammendrag

People with diabetes experience elevated blood glucose (BG) levels at the time of an infection. We propose to utilize patient-gathered information in an Electronic Disease Surveillance Monitoring Network (EDMON), which may support the identification of a cluster of infected people with elevated BG levels on a spatiotemporal basis. The system incorporates data gathered from diabetes apps, continuous glucose monitoring (CGM) devices, and other appropriate physiological indicators from people with type 1 diabetes. This paper presents a novel approach towards modeling of the individual's BG dynamics, a mechanism to track and detect deviations of elevated BG readings. The models were developed and validated using self-recorded data in the non-infection status using Dexcom CGM devices, from two type 1 diabetes individuals over a 1-month period. The models were also tested using simulated datasets, which resemble the individual's BG evolution during infections. The models accurately simulated the individual's normal BG fluctuations and further detected statistically significant BG elevations.

Bidragsytere

Ashenafi Zebene Woldaregay

  • Tilknyttet:
    Forfatter
    ved Institutt for informatikk ved UiT Norges arktiske universitet

Eirik Årsand

  • Tilknyttet:
    Forfatter
    ved Nasjonalt senter for e-helseforskning ved Universitetssykehuset Nord-Norge HF

Taxiarchis Botsis

  • Tilknyttet:
    Forfatter
    ved Institutt for informatikk ved UiT Norges arktiske universitet
Aktiv cristin-person

Gunnar Hartvigsen

  • Tilknyttet:
    Forfatter
    ved Nasjonalt senter for e-helseforskning ved Universitetssykehuset Nord-Norge HF
  • Tilknyttet:
    Forfatter
    ved Institutt for informatikk ved UiT Norges arktiske universitet
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