Cargando…

Correction: Validation of desk‑based audits using Google Street View(®) to monitor the obesogenic potential of neighbourhoods in a pediatric sample: a pilot study in the QUALITY cohort

Detalles Bibliográficos
Autores principales:	Roberge, Jean‑Baptiste, Contreras, Gisèle, Kakinami, Lisa, Van Hulst, Andraea, Henderson, Mélanie, Barnett, Tracie A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Correction
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161532/ https://www.ncbi.nlm.nih.gov/pubmed/35655311 http://dx.doi.org/10.1186/s12942-022-00303-6

Ejemplares similares

Validation of desk-based audits using Google Street View(®) to monitor the obesogenic potential of neighbourhoods in a pediatric sample: a pilot study in the QUALITY cohort
por: Roberge, Jean-Baptiste, et al.
Publicado: (2022)

Identifying risk profiles for excess sedentary behaviour in youth using individual, family and neighbourhood characteristics
por: Barnett, Tracie A., et al.
Publicado: (2021)

Adolescents’ reports of chaos within the family home environment: Investigating associations with lifestyle behaviours and obesity
por: Van Hulst, Andraea, et al.
Publicado: (2023)

Developing and testing a street audit tool using Google Street View to measure environmental supportiveness for physical activity
por: Griew, Pippa, et al.
Publicado: (2013)

MAPCERN links to Google Street View
por: Matilda Heron
Publicado: (2015)

The longitudinal effects of maternal parenting practices on children’s body mass index z-scores are lagged and differential
por: Kakinami, Lisa, et al.
Publicado: (2023)

Virtual audits of the urban streetscape: comparing the inter-rater reliability of GigaPan® to Google Street View
por: Bromm, Katherine N., et al.
Publicado: (2020)

Alcohol in urban streetscapes: a comparison of the use of Google Street View and on-street observation
por: Clews, Chris, et al.
Publicado: (2016)

Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors
por: Van Hulst, Andraea, et al.
Publicado: (2015)

Assessing the environmental characteristics of cycling routes to school: a study on the reliability and validity of a Google Street View-based audit
por: Vanwolleghem, Griet, et al.
Publicado: (2014)

Birth Weight, Postnatal Weight Gain, and Childhood Adiposity in Relation to Lipid Profile and Blood Pressure During Early Adolescence
por: Hulst, Andraea Van, et al.
Publicado: (2017)

Assessing Google Street View Image Availability in Latin American Cities
por: Fry, Dustin, et al.
Publicado: (2020)

Smokefree signage at children’s playgrounds: Field observations and comparison with Google Street View
por: Thomson, George, et al.
Publicado: (2017)

Assessing streetscape greenery with deep neural network using Google Street View
por: Kameoka, Taishin, et al.
Publicado: (2022)

Google Street View Images as Predictors of Patient Health Outcomes, 2017–2019
por: Nguyen, Quynh C., et al.
Publicado: (2022)

Differences in physical environmental characteristics between adolescents’ actual and shortest cycling routes: a study using a Google Street View-based audit
por: Verhoeven, Hannah, et al.
Publicado: (2018)

Estimating city-level travel patterns using street imagery: A case study of using Google Street View in Britain
por: Goel, Rahul, et al.
Publicado: (2018)

Associations between neighbourhood street pattern, neighbourhood socioeconomic status and sleep in adults
por: Lukic, R., et al.
Publicado: (2021)

A reliability assessment of a direct-observation park evaluation tool: the Parks, activity and recreation among kids (PARK) tool
por: Bird, Madeleine E., et al.
Publicado: (2015)

Real-Time Navigation in Google Street View((®)) Using a Motor Imagery-Based BCI
por: Yang, Liuyin, et al.
Publicado: (2023)

Neighbourhood socioeconomic disadvantage and body size in Australia’s capital cities: The contribution of obesogenic environments
por: Carroll, Suzanne J., et al.
Publicado: (2023)

Assessing Species Habitat Using Google Street View: A Case Study of Cliff-Nesting Vultures
por: Olea, Pedro P., et al.
Publicado: (2013)

Assessing Species Distribution Using Google Street View: A Pilot Study with the Pine Processionary Moth
por: Rousselet, Jérôme, et al.
Publicado: (2013)

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States
por: Gebru, Timnit, et al.
Publicado: (2017)

Deep mapping gentrification in a large Canadian city using deep learning and Google Street View
por: Ilic, Lazar, et al.
Publicado: (2019)

Using Google Street View to examine associations between built environment characteristics and U.S. health outcomes
por: Nguyen, Quynh C., et al.
Publicado: (2019)

Google Street View-Derived Neighborhood Characteristics in California Associated with Coronary Heart Disease, Hypertension, Diabetes
por: Nguyen, Thu T., et al.
Publicado: (2021)

Measuring Perceived Psychological Stress in Urban Built Environments Using Google Street View and Deep Learning
por: Han, Xin, et al.
Publicado: (2022)

Accounting and Auditing Research and Databases: Practitioner's Desk Reference
por: Weirich, Thomas
Publicado: (2012)

Using google street view for systematic observation of the built environment: analysis of spatio-temporal instability of imagery dates
por: Curtis, Jacqueline W, et al.
Publicado: (2013)

Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images
por: Zhang, Weixing, et al.
Publicado: (2018)

Using 164 Million Google Street View Images to Derive Built Environment Predictors of COVID-19 Cases
por: Nguyen, Quynh C., et al.
Publicado: (2020)

Physical environment features that predict outdoor active play can be measured using Google Street View images
por: Boyes, Randy, et al.
Publicado: (2023)

The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques
por: Wang, Ruoyu, et al.
Publicado: (2019)

Sidewalk Conditions in Northern New Jersey: Using Google Street View Imagery and Ordinary Kriging to Assess Infrastructure for Walking
por: Plascak, Jesse J., et al.
Publicado: (2019)

“Biophilic Cities”: Quantifying the Impact of Google Street View-Derived Greenspace Exposures on Socioeconomic Factors and Self-Reported Health
por: O’Regan, Anna C., et al.
Publicado: (2021)

Associations of neighborhood walkability with moderate to vigorous physical activity: an application of compositional data analysis comparing compositional and non-compositional approaches
por: Bird, Madeleine, et al.
Publicado: (2022)

Assessing the micro-scale environment using Google Street View: the Virtual Systematic Tool for Evaluating Pedestrian Streetscapes (Virtual-STEPS)
por: Steinmetz-Wood, Madeleine, et al.
Publicado: (2019)

Health and the built environment in United States cities: measuring associations using Google Street View-derived indicators of the built environment
por: Keralis, Jessica M., et al.
Publicado: (2020)

Mixed-Effects Modeling Framework for Amsterdam and Copenhagen for Outdoor NO(2) Concentrations Using Measurements Sampled with Google Street View Cars
por: Kerckhoffs, Jules, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_ocs4h95niuomc4lgt26gnr928s