Using Mobile, Wearable, Technology to Understand the Role of Built Environment Demand for Outdoor Mobility

2018 ◽  
Vol 51 (6) ◽  
pp. 671-688 ◽  
Author(s):  
Kate Duchowny ◽  
Philippa Clarke ◽  
Nancy Ambrose Gallagher ◽  
Robert Adams ◽  
Andrea L. Rosso ◽  
...  

Walking outdoors requires navigating a complex environment. However, no studies have evaluated how environmental barriers affect outdoor mobility in real time. We assessed the impact of the built environment on outdoor mobility, using mobile, wearable inertial measurement units. Data come from a convenience sample of 23 community-dwelling adults in Southeast Michigan. Participants walked a defined outdoor route where gait metrics were captured over a real-world urban environment with varying challenges. Street segments were classified as high versus low environmental demand using the Senior Walking Environmental Assessment Tool. Participants ranged in age from 22 to 74 years (mean age of 47 years). Outdoor gait speed was 0.3 m/s slower, and gait variability almost doubled, over the high- versus low-demand environments (coefficient of variability = 10.6% vs. 5.6%, respectively). This is the first study to demonstrate the feasibility of using wearable motion sensors to gather real-time mobility data in response to outdoor environmental demand. Findings contribute to the understanding of outdoor mobility by quantifying how real-world environmental challenges influence mobility in real time.

Rheumatology ◽  
2021 ◽  
Author(s):  
Katja Reuter ◽  
Atul Deodhar ◽  
Souzi Makri ◽  
Michael Zimmer ◽  
Francis Berenbaum ◽  
...  

Abstract Objectives During the COVID-19 pandemic, much communication occurred online, through social media. This study aimed to provide patient perspective data on how the COVID-19 pandemic impacted people with rheumatic and musculoskeletal diseases (RMDs), using Twitter-based patient-generated health data (PGHD). Methods A convenience sample of Twitter messages in English posted by people with RMDs was extracted between March 1, and July 12, 2020 and examined using thematic analysis. Included were Twitter messages that mentioned keywords and hashtags related to both COVID-19 (or SARS-CoV-2) and select RMDs. The RMDs monitored included inflammatory-driven (joint) conditions (Ankylosing Spondylitis, Rheumatoid Arthritis, Psoriatic Arthritis, Lupus/Systemic Lupus Erythematosus, and Gout). Results The analysis included 569 tweets by 375 Twitter users with RMDs across several countries. Eight themes emerged regarding the impact of the COVID-19 pandemic on people with RMDs: (1) lack of understanding of SARS-CoV-2/COVID-19; (2) critical changes in health behaviour; (3) challenges in healthcare practice and communication with healthcare professionals; (4) difficulties with access to medical care; (5) negative impact on physical and mental health, coping strategies; (6) issues around work participation, (7) negative effects of the media; (8) awareness-raising. Conclusion The findings show that Twitter serves as a real-time data source to understand the impact of the COVID-19 pandemic on people with RMDs. The platform provided “early signals” of potentially critical health behaviour changes. Future epidemics might benefit from the real-time use of Twitter-based PGHD to identify emerging health needs, facilitate communication, and inform clinical practice decisions.


2020 ◽  
Author(s):  
Juhwan Oh ◽  
Hwa-Young Lee ◽  
Khuong Quynh Long ◽  
Jeffrey F Markuns ◽  
Chris Bullen ◽  
...  

ABSTRACTObjectivesTo determine the impact of restrictions on mobility on reducing transmission of COVID-19.DesignDaily incidence rates lagged by 14 days were regressed on mobility changes using LOESS regression and logit regression between the day of the 100th case in each country to August 31, 2020.Setting34 OECD countries plus Singapore and Taiwan.ParticipantsGoogle mobility data were obtained from people who turned on mobile device-based global positioning system (GPS) and agreed to share their anonymized position information with Google.InterventionsWe examined the association of COVID-19 incidence rates with mobility changes, defined as changes in categories of domestic location, against a pre-pandemic baseline, using country-specific daily incidence data on newly confirmed COVID-19 cases and mobility data.ResultsIn two thirds of examined countries, reductions of up to 40% in commuting mobility (to workplaces, transit stations, retailers, and recreation) were associated with decreased COVID-19 incidence, more so early in the pandemic. However, these decreases plateaued as mobility remained low or decreased further. We found smaller or negligible associations between mobility restriction and incidence rates in the late phase in most countries.ConclusionMild to moderate degrees of mobility restriction in most countries were associated with reduced incidence rates of COVID-19 that appear to attenuate over time, while some countries exhibited no effect of such restrictions. More detailed research is needed to precisely understand the benefits and limitations of mobility restrictions as part of the public health response to the COVID-19 pandemic.WHAT IS ALREADY KNOWN ON THIS TOPICSince SARS-CoV-2 became a pandemic, restrictions on mobility such as limitations on travel and closure of offices, restaurants, and shops have been imposed in an unprecedented way in both scale and scope to prevent the spread of COVID-19 in the absence of effective treatment options or a vaccine. Although mobility restriction has also brought about tremendous costs such as negative economic growth and other collateral impacts on health such as increased morbidity and mortality from lack of access to other essential health services, little evidence exists on the effectiveness of mobility restriction for the prevention of disease transmission. A search of PUBMED and Google Scholar for publications on this topic through Sep 20, 2020 revealed that most of the evidence on the effectiveness of physical distancing comes from mathematical modeling studies using a variety of assumptions. One study investigated only the combined effect of several interventions, including physical distancing, among SARS-CoV-2 infected patients.WHAT THIS STUDY ADDSThis is the first study to investigate the association between change in mobility and incidence of COVID-19 globally using real-time measures of mobility at the population level. For this, we used Google Global Mobility data and the daily incidence of COVID-19 for 36 countries from the day of 100th case detection through August 31, 2020. Our findings from LOESS regression show that in two-thirds of countries, reductions of up to 40% in commuting mobility were associated with decreased COVID-19 incidence, more so early in the pandemic. This decrease, however, plateaued as mobility decreased further. We found that associations between mobility restriction and incidence became smaller or negligible in the late phase of the pandemic in most countries. The reduced incidence rate of COVID-19 cases with a mild to moderate degree of mobility restriction in most countries suggests some value to limited mobility restriction in early phases of epidemic mitigation. The lack of impact in some others, however, suggests further research is needed to confirm these findings and determine the distinguishing factors for when mobility restrictions are helpful in decreasing viral transmission. Governments should carefully consider the level and period of mobility restriction necessary to achieve the desired benefits and minimize harm.


2016 ◽  
Vol 137 (3) ◽  
pp. 173-181 ◽  
Author(s):  
Jocelyn Sacco ◽  
Heather G Lillico ◽  
Emily Chen ◽  
Erin Hobin

Introduction: Childhood obesity is a serious public health concern internationally, and population-level interventions are needed to support healthy food choices. Existing reviews of menu labelling have focused predominantly on adults. However, childhood and adolescence are distinct periods of development during which longer term eating behaviours and food preferences are established. Although some studies have examined the effect of menu labelling among children and adolescents, no reviews have synthesised this evidence. Objective: To assess whether menu labelling influences the amount of calories ordered by children and adolescents (or parents on behalf of youth) in food outlets including restaurants and cafeterias. Methods: Comprehensive literature searches were conducted in Medline, Scopus, PsycINFO, CINAHL, SocINDEX and Embase databases. Eleven relevant studies were identified from an initial search yielding 1,682 results. Studies were assessed using a validated quality assessment tool. Results: Examinations of hypothetical food purchases in artificial environments suggest that menu labelling may be efficacious in reducing calories purchased for or by children and adolescents. Real-world studies are less supportive, although school-based studies were generally positive. It is unclear whether contextual or interpretive menu-labelling formats are more effective compared to numeric calorie information alone. Conclusion: Evidence supporting the impact of menu labelling on lowering the energy content of restaurant and cafeteria food choices made for or by children or adolescents is limited. There remains a need for high-quality studies conducted in real-world settings.


Author(s):  
Angela Curl ◽  
Helen Fitt ◽  
Melanie Tomintz

Falls can have serious impacts on the health, wellbeing and daily mobilities of older adults. Falls are a leading cause of injury and death amongst older adults and outdoor falls comprise a substantial proportion of pedestrian injuries. As well as physical injuries, the psychological impacts of experiencing a fall can result in older adults getting out of the house less often, resulting in lower levels of physical activity and social connection. Despite the known consequences of falls, relatively little research considers the impact of the urban built environment on falls among older adults. This research aimed to explore the experiences of older adults in the urban environment, falling and the fear of falling outdoors. We conducted an online survey with adults aged 50+ using a participatory mapping survey tool and a convenience sample. The study area was Greater Christchurch, New Zealand. Results suggest that both perceived accessibility and neighbourhood conditions are independently associated with fear of falling, after controlling for frequency of falling, gender and activities of daily living. Our findings demonstrate the need for much better understandings of the relationships between the urban environment, outdoor mobility, fear of falling and falling among older adults and we propose suggestions for future research.


Author(s):  
Eunhye Kim ◽  
Hani S. Mahmassani ◽  
Haleh Ale-Ahmad ◽  
Marija Ostojic

Origin–destination (O–D) demand is a critical component in both online and offline dynamic traffic assignment (DTA) systems. Recent advances in real-time DTA applications in large networks call for robust and efficient methodologies for online O–D demand estimation and prediction. This study presents a day-to-day learning framework for a priori O–D demand, along with a predictive data-driven O–D correction approach for online consistency between predicted and observed (sensor) values. When deviations between simulation and real world are observed, a consistency-checking module initiates O–D demand correction for the given prediction horizon. Two predictive correction methods are suggested: 1) simple gradient method, and 2) Taylor approximation method. New O–D demand matrices, corrected for 24 simulation hours by the correction module, are used as the updated a priori demand for the next day simulation. The methodology is tested in a real-world network, Kansas City, MO, for a 3-day period. Actual tests in real-world networks of online DTA systems have been very limited in the literature and in actual practice. The test results are analyzed in time and space dimensions. The overall performance of observed links is assessed. To measure the impact of O–D correction and daily O–D updates, traffic prediction performance with the new modules is compared with the base case. Predictive O–D correction improves prediction performance in a long prediction window. Also, daily updated O–D demand provides better initial states for traffic prediction, enhancing prediction in short prediction windows. The two modules collectively improve traffic prediction performance of the real-time DTA system.


Author(s):  
Alberto Barrón-Cedeño ◽  
Giovanni Da San Martino ◽  
Israa Jaradat ◽  
Preslav Nakov

We present proppy, the first publicly available real-world, real-time propaganda detection system for online news, which aims at raising awareness, thus potentially limiting the impact of propaganda and helping fight disinformation. The system constantly monitors a number of news sources, deduplicates and clusters the news into events, and organizes the articles about an event on the basis of the likelihood that they contain propagandistic content. The system is trained on known propaganda sources using a variety of stylistic features. The evaluation results on a standard dataset show stateof-the-art results for propaganda detection.


2021 ◽  
Author(s):  
Magnus Liebherr ◽  
Andrew W. Corcoran ◽  
Phillip M. Alday ◽  
Scott Coussens ◽  
Valeria Bellan ◽  
...  

The capacity to regulate ones attention in accordance with fluctuating task demands and environmental contexts is an essential feature of adaptive behavior. Although the electrophysiological correlates of attentional processing have been extensively studied in the laboratory, relatively little is known about the way they unfold under more variable, ecologically-valid conditions. Accordingly, this study employed a real-world EEG design to investigate how attentional processing varies under increasing levels of cognitive, motor, and environmental demand. Forty-four participants were exposed to an auditory oddball task while (1) sitting in a quiet room inside the lab, (2) walking around a sports field, and (3) wayfinding across a university campus. In each condition, participants were instructed to either attend to (i.e., count) or ignore oddball stimuli. While behavioral performance was similar across the lab and field conditions, oddball count accuracy was significantly reduced in the campus condition. Moreover, event-related potential components (mismatch negativity and P3) elicited in both real-world settings differed significantly from those obtained under laboratory conditions. These findings demonstrate the impact of environmental factors on attentional processing during simultaneously-performed motor and cognitive tasks, highlighting the value of incorporating dynamic and unpredictable contexts within naturalistic designs.


Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1611
Author(s):  
Victor Alonso-Eugenio ◽  
Victor Guerra ◽  
Santiago Zazo ◽  
Ivan Perez-Alvarez

In this work, the development of a software-in-loop platform to carry out Underwater Wireless Sensor Network (UWSN) simulations using a real-time STANAG 5066 stack is presented. The used protocol stack is part of a real-world implementation of an underwater wireless node based on ElectroMagnetic (EM) Underwater Radio Frequency Communication (EM-URFC), framed within Spanish Government’s project HERAKLES. The main objective of this work was to assess the suitability of this software-in-loop approach for carrying out realistic UWSN simulations. In addition to a detailed description of the simulation process, several simulations considering an illustrative network topology are performed, analyzing the impact of different critical parameters on the network performance. The conclusions suggest that the developed software-in-loop platform is suitable to carry out UWSN network tests using a real-world implementation of the STANAG 5066 stack. Moreover, other real-time protocol stacks may be easily adapted with minor modifications.


2021 ◽  
Author(s):  
Amanjot Kaur ◽  
Arindam Ray ◽  
Seema Singh Koshal ◽  
Syed Quadri ◽  
Mayank Shersiya ◽  
...  

Objectives: To assess the effectiveness of training workshops for knowledge enhancement of program managers prior to rotavirus vaccine (RVV) introduction in the routine immunization program. Method: The study was conducted among the participants attending two training workshops for the introduction of RVV; a state workshop in Pune and a regional workshop in Guwahati. The participants who attended the workshops and participated in both the pre and post-test - 53 for Guwahati and 59 for Pune. Data was collected in real-time via pre- post-test. Results: In both workshops, a comparison of pre-test and post-test scores of all questions taken together showed a significant increase in the knowledge level of the participants (p<0.05). In Guwahati, the knowledge of the participants regarding doses of RVV, inadequate dosing, Vaccine Vial Monitor (VVM), open vial policy, operationalization of RVV, and monetary incentive increased significantly. In Pune, the knowledge of the participants regarding doses of RVV, bundling approach, schedule and dose, storage temperature for Rotavirus vaccine, VVM, open vial policy, vaccine delivery, and operationalization of RVV increased significantly after the training. Conclusions: A pre-planned and well-designed knowledge assessment tool can be used to understand the impact of training workshops in enhancing the knowledge and practical skills of the participants prior to the introduction of a new vaccine. Key Word: Rotavirus vaccine, training, knowledge enhancement, training of trainers


2020 ◽  
Author(s):  
Thin Nguyen ◽  
◽  
Sunil Gupta ◽  
Jaishankar Raman ◽  
Rinaldo Bellomo ◽  
...  

Using geotagged Twitter data in Victoria, we created a mobility index and studied the changes during the staged restrictions during the coronavirus disease 2019 (COVID-19) pandemic. We describe preliminary evidence that geotagged Twitter data may be used to provide real-time population mobility data and information on the impact of restrictions on such mobility.


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