The Regulation of National Roaming

Sutherland, Ewan

doi:10.2139/ssrn.1941446

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…the ability to connect to networks of different operators. These networks are operated independently in most respects (due to regulation) and share only some infrastructure [8]. However, at the moment national roaming is typically not offered in the EU [8].…”

Section: The Architecture Of 2g 3g and 4g Networkmentioning

confidence: 99%

“…These networks are operated independently in most respects (due to regulation) and share only some infrastructure [8]. However, at the moment national roaming is typically not offered in the EU [8]. Looking at a single operator we investigate whether the use of different network generations increases network availability.…”

Section: The Architecture Of 2g 3g and 4g Networkmentioning

confidence: 99%

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Modeling Regional Reliability of 2G, 3G, and 4G Mobile Data Networks and Its Effect on the German Automatic Tolling System

Pfitzinger¹,

Baumann²,

Macos

et al. 2015

2015 48th Hawaii International Conference on System Sciences

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Using an existing large-scale realistic discrete event simulation model of a mobile distributed system we model the infrastructure and dependencies of 2G, 3G and 4G mobile data networks. We investigate the effects of the different network generations and of transitioning connections between networks on the typical behaviour of the distributed system. In particular we enable the model to simulate regional outages of networks to predict the effects of shared back-end network components and the effects of mobile endpoints entering and leaving regional coverage.

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Section: The Architecture Of 2g 3g and 4g Networkmentioning

confidence: 99%

Section: The Architecture Of 2g 3g and 4g Networkmentioning

confidence: 99%

Modeling Regional Reliability of 2G, 3G, and 4G Mobile Data Networks and Its Effect on the German Automatic Tolling System

Pfitzinger¹,

Baumann²,

Macos

et al. 2015

2015 48th Hawaii International Conference on System Sciences

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“…The global demand for ICT (data centers, networks, and connected devices) corresponds to substantial global carbon emissions, and its true cost is difficult to measure [ 23 ]. Moreover, the sourcing of materials necessary for manufacturing mobile devices are the subject of ethical concern [ 24 ]. These fundamental environmental and social costs are in addition to the cost of translating lifestyle interventions to Web-based or mobile platforms, costs related to design, development, and delivery of software, and cost of testing efficacy in robust trials and rolling out interventions (delivery, evaluation, and maintenance).…”

Section: Introductionmentioning

confidence: 99%

Mobile Health for Pediatric Weight Management: Systematic Scoping Review

Tully

Burls

Sørensen

et al. 2020

JMIR Mhealth Uhealth

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Background The prevalence and consequences of obesity among children and adolescents remain a leading global public health concern, and evidence-based, multidisciplinary lifestyle interventions are the cornerstone of treatment. Mobile electronic devices are widely used across socioeconomic categories and may provide a means of extending the reach and efficiency of health care interventions. Objective We aimed to synthesize the evidence regarding mobile health (mHealth) for the treatment of childhood overweight and obesity to map the breadth and nature of the literature in this field and describe the characteristics of published studies. Methods We conducted a systematic scoping review in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews, by searching nine academic databases in addition to gray literature for studies describing acceptability, usability, feasibility, effectiveness, adherence, or cost-effectiveness of interventions assessing mHealth for childhood obesity treatment. We also hand searched the reference lists of relevant articles. Studies aimed at the prevention of overweight or obesity were excluded, as were studies in which mHealth was not the primary mode of treatment delivery for at least one study arm or was not independently assessed. A random portion of all abstracts and full texts was double screened by a second reviewer to ensure consistency. Data were charted according to study characteristics, including design, participants, intervention content, behavior change theory (BCT) underpinning the study, mode of delivery, and outcomes measured. Results We identified 42 eligible studies assessing acceptability (n=7), usability (n=2), feasibility or pilot studies (n=15), treatment effect (n=17), and fidelity (n=1). Change in BMI z-scores or percentiles was most commonly measured, among a variety of dietary, physical activity, psychological, and usability or acceptability measures. SMS, mobile apps, and wearable devices made up the majority of mobile interventions, and 69% (29/42) of the studies specified a BCT used. Conclusions Pediatric weight management using mHealth is an emerging field, with most work to date aimed at developing and piloting such interventions. Few large trials are published, and these are heterogeneous in nature and rarely reported according to the Consolidated Standards of Reporting Trials for eHealth guidelines. There is an evidence gap in the cost-effectiveness analyses of such studies.

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