e.g. mhealth
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Skip search results from other journals and go to results- 5 Journal of Medical Internet Research
- 1 JMIR Formative Research
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Further, geolocation data collected by mobile devices can indicate the level of variance in an individual’s movement, referred to as entropy [17]. Entropy and broader indicators of movement collected via mobile devices have been found to correlate with or predict depressive mood states in housed populations [18-20]. In this literature, individuals’ homes were believed to be one of the key locations for the correlations found.
JMIR Form Res 2023;7:e45309
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During the consent and registration process, adult participants were invited to contribute geolocation data using the Arc GIS mobile phone tracker app. For those who chose to participate, we sent personal identifiable data from the UCL data safe haven to a secure memory stick on a UCL computer, from which we transferred the data via HTTPS into the Arc GIS Online (Esri UK) subscription. The purpose of this data transfer was to set up participants’ tracker app accounts.
JMIR Public Health Surveill 2023;9:e38072
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Given the growing interest of research in understanding people’s opinions and emotions regarding the pandemic [37], the objective of this study was to use deep learning–based methods to understand public emotions on topics related to the COVID-19 pandemic in the United Kingdom through a comparative geolocation and text mining analysis on Twitter.
J Med Internet Res 2022;24(10):e40323
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To determine what daily average weather conditions participants were exposed to, the app recorded participants’ geolocation, which we could link to weather reports from local weather stations. The analysis of the weather and pain association and the details of data collection are described elsewhere [2,3].
JMIR Mhealth Uhealth 2021;9(11):e28857
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Building a Secure Biomedical Data Sharing Decentralized App (DApp): Tutorial
Data flow directly between the smart contract and the clients: (1) Participant submits timestamped geolocation data; (2) Participant grants/revokes permission to share that data, to the smart contract; (3) A third party assigns geolocations of interest a matching category (ie, hospital, gym, pharmacy, or none) and deploy that mapping to the smart contract; (4) Participant can view the timestamp of each of their previously written geolocations and the category of that geolocation, if there exists a mapping between
J Med Internet Res 2019;21(10):e13601
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Smartphone phone usage, and geolocation data in particular, is consequential for several health care applications. Location data have already been used in a variety of applications in health, for example, to monitor behavioral and environmental risk factors [8,9], to improve disease management and treatment delivery [10], and to inform public health policy in substance abuse [11].
J Med Internet Res 2019;21(8):e13600
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Among the earliest work on using geolocation for mental state estimation, Grünerbl et al [5-6] demonstrated that it is possible to use geolocation-derived features to detect episodes in patients with bipolar disorder. Saeb et al [3] further showed that features derived from geolocation data correlated with depression levels in individuals recruited over the internet; the results were later replicated with a sample of students [7].
J Med Internet Res 2018;20(10):e10194
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