174 related articles for article (PubMed ID: 31174531)
1. Using data from online geocoding services for the assessment of environmental obesogenic factors: a feasibility study.
Präger M; Kurz C; Böhm J; Laxy M; Maier W
Int J Health Geogr; 2019 Jun; 18(1):13. PubMed ID: 31174531
[TBL] [Abstract][Full Text] [Related]
2. A spatial obesity risk score for describing the obesogenic environment using kernel density estimation: development and parameter variation.
Präger M; Kurz C; Holle R; Maier W; Laxy M
BMC Med Res Methodol; 2023 Mar; 23(1):65. PubMed ID: 36932344
[TBL] [Abstract][Full Text] [Related]
3. [Who Hits the Mark? A Comparative Study of the Free Geocoding Services of Google and OpenStreetMap].
Lemke D; Mattauch V; Heidinger O; Hense HW
Gesundheitswesen; 2015 Sep; 77(8-9):e160-5. PubMed ID: 26154258
[TBL] [Abstract][Full Text] [Related]
4. Geoprocessing via google maps for assessing obesogenic built environments related to physical activity and chronic noncommunicable diseases: validity and reliability.
Silva V; Grande AJ; Rech CR; Peccin MS
J Healthc Eng; 2015; 6(1):41-54. PubMed ID: 25708376
[TBL] [Abstract][Full Text] [Related]
5. [Use of Google Maps for geocoding data from the Mortality Information System in Rio de Janeiro municipality, Brazil, 2010-2012].
Silveira IHD; Oliveira BFA; Junger WL
Epidemiol Serv Saude; 2017; 26(4):881-886. PubMed ID: 29211150
[TBL] [Abstract][Full Text] [Related]
6. Accuracy of two geocoding methods for geographic information system-based exposure assessment in epidemiological studies.
Faure E; Danjou AM; Clavel-Chapelon F; Boutron-Ruault MC; Dossus L; Fervers B
Environ Health; 2017 Feb; 16(1):15. PubMed ID: 28235407
[TBL] [Abstract][Full Text] [Related]
7. The design and validation of a spatial microsimulation model of obesogenic environments for children in Leeds, UK: SimObesity.
Edwards KL; Clarke GP
Soc Sci Med; 2009 Oct; 69(7):1127-34. PubMed ID: 19692160
[TBL] [Abstract][Full Text] [Related]
8. Positional accuracy of geocoding from residential postal codes versus full street addresses.
Khan S; Pinault L; Tjepkema M; Wilkins R
Health Rep; 2018 Feb; 29(2):3-9. PubMed ID: 29465738
[TBL] [Abstract][Full Text] [Related]
9. Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset.
Xu X; Hu H; Ha S; Han D
Geospat Health; 2016 Nov; 11(3):482. PubMed ID: 27903063
[TBL] [Abstract][Full Text] [Related]
10. Quality of automatic geocoding tools: a study using addresses from hospital record files in Temuco, Chile.
Quinteros ME; Blazquez C; Rosas F; Ayala S; García XMO; Delgado-Saborit JM; Harrison RM; Ruiz-Rudolph P; Yohannessen K
Cad Saude Publica; 2022; 38(1):e00288920. PubMed ID: 35081207
[TBL] [Abstract][Full Text] [Related]
11. [Impacts of geocoding quality in environmental epidemiology studies: two case-studies in Tuscany Region (Central Italy)].
Nuvolone D; Santini M; Pepe P; Cipriani F
Epidemiol Prev; 2016; 40(1):44-50. PubMed ID: 26951701
[TBL] [Abstract][Full Text] [Related]
12. Improving geocoding outcomes for the Nebraska Cancer Registry: learning from proven practices.
Lin G; Gray J; Qu M
J Registry Manag; 2010; 37(2):49-56. PubMed ID: 21086822
[TBL] [Abstract][Full Text] [Related]
13. Investigating impacts of positional error on potential health care accessibility.
Bell S; Wilson K; Shah TI; Gersher S; Elliott T
Spat Spatiotemporal Epidemiol; 2012 Apr; 3(1):17-29. PubMed ID: 22469488
[TBL] [Abstract][Full Text] [Related]
14. Obesogenic environment and childhood obesity.
Jia P
Obes Rev; 2021 Feb; 22 Suppl 1():e13158. PubMed ID: 33258179
[TBL] [Abstract][Full Text] [Related]
15. Applications of geographic information systems (GIS) data and methods in obesity-related research.
Jia P; Cheng X; Xue H; Wang Y
Obes Rev; 2017 Apr; 18(4):400-411. PubMed ID: 28165656
[TBL] [Abstract][Full Text] [Related]
16. [Geocoding one million of addresses using API: a semiautomatic multistep procedure].
Mataloni F; Bauleo L; Badaloni C; Nobile F; Savastano J; Noccioli F; Salatino CG; Balducci M; Cappai G; Rosa AC; Asta F; Fusco D; Michelozzi P; Davoli M
Epidemiol Prev; 2022; 46(3):160-167. PubMed ID: 35443573
[TBL] [Abstract][Full Text] [Related]
17. Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study.
Kloog I; Kaufman LI; de Hoogh K
Int J Environ Res Public Health; 2018 Nov; 15(11):. PubMed ID: 30388884
[TBL] [Abstract][Full Text] [Related]
18. The SPOTLIGHT virtual audit tool: a valid and reliable tool to assess obesogenic characteristics of the built environment.
Bethlehem JR; Mackenbach JD; Ben-Rebah M; Compernolle S; Glonti K; Bárdos H; Rutter HR; Charreire H; Oppert JM; Brug J; Lakerveld J
Int J Health Geogr; 2014 Dec; 13():52. PubMed ID: 25515179
[TBL] [Abstract][Full Text] [Related]
19. Improving geocoding matching rates of structured addresses in Rio de Janeiro, Brazil.
Cortes TR; Silveira IHD; Junger WL
Cad Saude Publica; 2021; 37(7):e00039321. PubMed ID: 34346979
[TBL] [Abstract][Full Text] [Related]
20. Spatial Technologies in Obesity Research: Current Applications and Future Promise.
Jia P; Xue H; Yin L; Stein A; Wang M; Wang Y
Trends Endocrinol Metab; 2019 Mar; 30(3):211-223. PubMed ID: 30712979
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]