Linking GPS Data to GIS Databases in Naturalistic Studies: Examples from Drivers with Obstructive Sleep Apnea

Dawson, Jeffrey D.; Yu, Lixi; Sewell, Kelly; Skibbe, Adam M.; Aksan, Nazan; Tippin, Jon; Rizzo, Matthew

doi:10.17077/drivingassessment.1564

Cited by 3 publications

(3 citation statements)

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“…As explained in our previous work (Dawson et al, 2015), each subject’s 25-variable, 10-Hz data file was reduced to an eight-variable, 1-Hz file. These eight variable included GPS coordinates (latitude and longitude), a measure of GPS signal quality, a date/time stamp, and identification variables.…”

Section: Methodsmentioning

confidence: 99%

Contextualizing Naturalistic Driving Data in a Rural State Among Drivers With and Without Obstructive Sleep Apnea

Dawson

Bair

Aksan

et al. 2017

Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design: Dri

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Section: Methodsmentioning

confidence: 99%

Contextualizing Naturalistic Driving Data in a Rural State Among Drivers With and Without Obstructive Sleep Apnea

Dawson

Bair

Aksan

et al. 2017

Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design: Dri

Self Cite

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“…16 In this regard, the results of other studies have emphasized the use of GIS to investigate OSA disorder. 22…”

Section: Introductionmentioning

confidence: 99%

“…16 In this regard, the results of other studies have emphasized the use of GIS to investigate OSA disorder. 22 Studies in the United States have shown that certain areas in a state are prone to sleep problems. Studies on the correlation between neighborhood characteristics and sleep have also shown that geographical patterns are formed locally.…”

Section: Introductionmentioning

confidence: 99%

Investigation of spatial pattern of apnea disorder using geographic information system (GIS)-case study of Kermanshah metropolis

Khazaie

Zangeneh

Ziapour

et al. 2023

Journal of Public Health Research

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Background: Apnea disorder is influenced by social and environmental factors. By assessing its hot spots and geography, the foci of this disorder and its at-risk groups can be identified for health interventions. This study was conducted to investigate the spatial pattern of apnea disorder using GIS in the Kermanshah metropolis. Methods: In cross-sectional study was conducted in kermanshah, the statistical population were 119 people (73.95% male and 26.05% female) of Kermanshah residents, which referred to the sleep center from 2012 to 2018 due to apnea disorder. Information was collected from the records of patients referred to the Sleep Disorder Center of Farabi Hospital, which is the only service center in the west part of Iran. The statistical tests were the mean center, standard distance, Getis-Ord Gi * index, nearest neighbor index, and kernel density estimation test in GIS software. Results: The spatial pattern of patients with apnea disorder has cluster formation in the Kermanshah metropolis. The age group of 50–54 had more apnea disorder than other age groups. In this age group, women were more prone to apnea than men. In terms of education, people with high education are more affected by this disorder; So that with the increase in education level, apnea disorder had also increased. Also, the findings showed that the disorder was more common in unemployed, married, overweight people with BMI (25–30), and obese people (30–40). Conclusion: The spatial pattern of patients with apnea disorder was clustered and does not correspond to the high population density centers located in the marginal and slum areas of the city. These can be used by stakeholders, including governmental organizations and health authorities at the national-regional level.

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GIS Databases

Domdouzis

Lake

Crowther

2021

Undergraduate Topics in Computer Science

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Linking GPS Data to GIS Databases in Naturalistic Studies: Examples from Drivers with Obstructive Sleep Apnea

Cited by 3 publications

References 1 publication

Contextualizing Naturalistic Driving Data in a Rural State Among Drivers With and Without Obstructive Sleep Apnea

Contextualizing Naturalistic Driving Data in a Rural State Among Drivers With and Without Obstructive Sleep Apnea

Investigation of spatial pattern of apnea disorder using geographic information system (GIS)-case study of Kermanshah metropolis

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