Positional error in automated geocoding of residential addresses - Test2 - elhamkhani - TriplyDB

Positional error in automated geocoding of residential addresses

Positional error in automated geocoding of residential addresses

http://www.wikidata.org/entity/Q24792052

about

Estimating the accuracy of geographical imputation Influence of geographic location in modeling blood pesticide levels in a community surrounding a U.S. Environmental Protection Agency superfund site Lumping or splitting: seeking the preferred areal unit for health geography studies.Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom.Historical measures of social context in life course studies: retrospective linkage of addresses to decennial censuses Geographic bias related to geocoding in epidemiologic studies.Ensuring Confidentiality of Geocoded Health Data: Assessing Geographic Masking Strategies for Individual-Level Data Geocoding accuracy and the recovery of relationships between environmental exposures and health A case-referent study: light at night and breast cancer risk in Georgia Birth and fetal death records and environmental exposures: promising data elements for environmental public health tracking of reproductive outcomes Assessment of community food resources: A Latino neighborhood study in upstate New York Using imputation to provide location information for nongeocoded addresses Accuracy of residential geocoding in the Agricultural Health Study Development of spatial density maps based on geoprocessing web services: application to tuberculosis incidence in Barcelona, Spain A research agenda: does geocoding positional error matter in health GIS studies?Highway proximity associated with cardiovascular disease risk: the influence of individual-level confounders and exposure misclassification.Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset.The use of insulin declines as patients live farther from their source of care: results of a survey of adults with type 2 diabetes Influence of geocoding quality on environmental exposure assessment of children living near high traffic roads.An effective and efficient approach for manually improving geocoded data Using smartphones to collect time-activity data for long-term personal-level air pollution exposure assessment.Evaluating geographic imputation approaches for zip code level data: an application to a study of pediatric diabetes.Enhancing spatial detection accuracy for syndromic surveillance with street level incidence data Methods for retrospective geocoding in population studies: the Jackson Heart Study The effects of local street network characteristics on the positional accuracy of automated geocoding for geographic health studies.Characterizing urban traffic exposures using transportation planning tools: an illustrated methodology for health researchers.Evaluating geographic variation in type 1 and type 2 diabetes mellitus incidence in youth in four US regions Geographical information system and environmental epidemiology: a cross-sectional spatial analysis of the effects of traffic-related air pollution on population respiratory health Geocoding rural addresses in a community contaminated by PFOA: a comparison of methods Spatial autocorrelation among automated geocoding errors and its effects on testing for disease clustering Optimizing the two-step floating catchment area method for measuring spatial accessibility to medical clinics in Montreal Geostatistical analysis of health data with different levels of spatial aggregation.Geocoding large population-level administrative datasets at highly resolved spatial scales Accuracy of commercially available residential histories for epidemiologic studies Inaccuracy, uncertainty and the space-time permutation scan statistic.Accuracy of commercial geocoding: assessment and implications Individual and environmental factors associated for overweight in urban population of Brazil.An evaluation framework for comparing geocoding systems.Spatial confidentiality and GIS: re-engineering mortality locations from published maps about Hurricane Katrina An unsupervised classification method for inferring original case locations from low-resolution disease maps.

P2860

Q21245773-7E170B63-5E78-489E-94B9-5F514622ECB3 Q23921255-7D3F1E1F-B28F-4323-9954-E351A7E44512 Q24795758-91742FEA-5371-4532-BF5B-9EA39303A0C8 Q24797493-61EA56D7-A114-4743-8214-C17A763C4FE3 Q24804284-AA3E281B-7D78-463A-99BB-68823929211C Q24814307-F7422FB7-2882-4000-9D80-815552592114 Q26825008-E8786897-44A5-42FE-B92E-56EF44C3D106 Q27497342-0D92275B-0648-4BFC-881E-D48B28AEE733 Q28382853-671F5940-32C9-4444-9CCF-81E192615C20 Q28391917-6C30F432-5424-4757-8157-089D5A777EEB Q28393383-E777BBE9-F3B3-48FB-8F37-7CF6F57B7668 Q28393476-BFCDA881-C201-4AE3-8503-7FA4370C3425 Q28396299-0093E81C-15FA-4402-826B-7C47709D9918 Q28740485-DDD31D88-5E6B-4CE7-856F-AA0072504890 Q30485425-BB9FA3DA-24D5-400D-A71B-CDA2318ACD79 Q30570110-B746FAB6-E8B8-4A7C-938B-F369BD4566B7 Q31146174-C2E5DADD-E628-45E9-8045-BF549F04B55D Q33252040-5AC44029-1B71-4688-9ACC-E281586BEE89 Q33279180-C67C2E51-E9A5-4195-AE12-91652F1855B6 Q33387070-3768C7B2-D221-4A78-A13E-21C1D85AA90A Q33442127-2BBCD03C-5FE0-4873-8B14-D76BA8402E40 Q33509389-6CB4E36F-F189-4194-9E3D-F74101673711 Q33524906-68CB2662-6E98-4CE9-8BD7-356E0F75903C Q33651694-0D816F13-8D4C-440D-B784-93E0D0A634EF Q33718440-15560F64-41A4-4EEE-97C0-1252A1E9F4AC Q33754299-E4F022E0-BDE6-446F-B26F-D04977343E38 Q33772541-7AF96491-5FBD-4FF7-8FFB-F0102A12CAB3 Q33833081-26C2AF57-5C7E-4448-B9AD-C26FDF0D9070 Q33843051-FF358568-C10F-4508-9564-4561AFF4A4A1 Q33926650-0F0C0594-D8E6-46E3-8E48-62F8B90B0733 Q33957299-5B13659D-79D9-4538-82B6-DBD5189E6F85 Q34217083-D27F7EAC-FDB4-4DE3-B6BA-E3254EBBBB30 Q34462361-C32F4B1D-722A-4202-B95E-610200433C27 Q34514914-34DD6FF1-12D7-4179-B4D4-CE384A6CD161 Q34585816-2671D84A-7541-4A56-AD72-968606FB32C0 Q35012590-7676BAEA-E49B-47BB-8607-1EBC697E0AC2 Q35021910-5EBC0042-C551-4FD6-9513-CE1FFAF19AD7 Q35037480-C4D6A43C-EC34-40BA-9B01-F059930BE323 Q35113314-3DC3283D-E1C5-4967-BCEC-691C465D8082 Q35225629-72B15A00-22D4-4CD0-A0C8-7377EBB0BAF1

P2860

Positional error in automated geocoding of residential addresses

http://www.wikidata.org/entity/Q24792052

description

2003 nî lūn-bûn

@nan

2003 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2003 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2003年の論文

@ja

2003年論文

@yue

2003年論文

@zh-hant

2003年論文

@zh-hk

2003年論文

@zh-mo

2003年論文

@zh-tw

2003年论文

@wuu

name

Positional error in automated geocoding of residential addresses

@ast

Positional error in automated geocoding of residential addresses

@en

Positional error in automated geocoding of residential addresses

@nl

type

label

Positional error in automated geocoding of residential addresses

@ast

Positional error in automated geocoding of residential addresses

@en

Positional error in automated geocoding of residential addresses

@nl

prefLabel

Positional error in automated geocoding of residential addresses

@ast

Positional error in automated geocoding of residential addresses

@en

Positional error in automated geocoding of residential addresses

@nl

P1433

Q24792052-AF36E0B0-39E9-4CB8-AC4D-C46B8729C3BB

P1476

Q24792052-27686995-3492-4EFC-8FCC-419970F14C78

P2093

Q24792052-55368AA0-0B98-461E-B0E2-718F0943914E

Q24792052-83098609-6132-47B8-9AFC-49212FF3FA32

P2860

Q24792052-05E58EAB-ACA4-40A6-BF68-AF6F37EF7A88

Q24792052-06D4CC45-C7B8-40CB-9FA9-7BEF07AA4E0C

Q24792052-21E9CC5B-CA9F-47D3-826D-034FB18F65A0

Q24792052-22B8603C-2CCB-4A5B-AA4A-BAB332151C4E

Q24792052-2DD6D215-AFD5-49E7-BA32-7E9F7270CDC2

Q24792052-4E6AA8B7-E02A-479C-AE77-CBDC591CD516

Q24792052-6592D067-EB77-4284-9798-A8572FE6CC43

Q24792052-6B481339-A6D6-4F5F-9236-4A3A89C7E9C2

Q24792052-70561037-FCFB-4468-B2ED-49EA71C5DE6A

Q24792052-9AC72DA1-D1F2-498B-BF0C-0203CCF5D4D2

P2888

Q24792052-10CAEBBD-AAD1-43F4-B1A2-C28F1CFD8065

P304

Q24792052-D9ADF6AC-7401-41A7-B68A-390D1FCDFEA6

P31

Q24792052-C4C3F954-4C37-4FF7-A5DB-9B3231C6959B

P3181

Q24792052-200F2BAF-D9E2-4A8C-A216-28D889A29BD3

P356

Q24792052-C2ABD4AC-9015-45D3-ABF1-CAEAE5270C31

P433

Q24792052-F8F0527D-1AB8-4B0A-8D9A-3BA28E3B28F5

P478

Q24792052-93CAEDEC-E1DA-4945-99F3-4DBCAA2838F1

P577

Q24792052-16A61E41-661D-4695-A3C1-7359687B3A12

P5875

Q24792052-19246D5E-AEEF-4AA2-AC39-4868DA204F39

P6179

Q24792052-E3321870-96A9-48D5-B4C8-4F50DFD2E2ED

P698

Q24792052-2C701D08-D992-4128-AAA1-C44315FE8B63

P921

Q24792052-8F57E753-CBEA-4ECE-993C-F858B03C139D

P932

Q24792052-B95D47E0-E856-4418-8156-E1CEA436EDA6

P3181

P356

P1433

International Journal of Health Geographics

P1476

Positional error in automated geocoding of residential addresses

@en

P2093

Michael R Cayo

http://www.w3.org/2001/XMLSchema#string

Thomas O Talbot

http://www.w3.org/2001/XMLSchema#string

P2860

Childhood cancer incidence rates and hazardous air pollutants in California: an exploratory analysis

Evaluation of spatial filters to create smoothed maps of health data.

Bias due to misclassification in the estimation of relative risk.

Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the Public Health Disparities Geocoding Project.

Examining associations between childhood asthma and traffic flow using a geographic information system

Exploratory spatial analysis of birth defect rates in an urban population.

Subject loss in spatial analysis of breast cancer.

Positional accuracy of geocoded addresses in epidemiologic research.

Spatial disease clusters: detection and inference.

Risk of congenital malformations associated with proximity to hazardous waste sites.

P2888

P304

10

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P3181

301835

http://www.w3.org/2001/XMLSchema#string

P356

10.1186/1476-072X-2-10

http://www.w3.org/2001/XMLSchema#string

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

2

http://www.w3.org/2001/XMLSchema#string

P577

2003-12-19T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

8949974

http://www.w3.org/2001/XMLSchema#string

P6179

1015818951

http://www.w3.org/2001/XMLSchema#string

P698

14687425

http://www.w3.org/2001/XMLSchema#string

P921

P932

324564

http://www.w3.org/2001/XMLSchema#string