Using geographic information systems for exposure assessment in environmental epidemiology studies.
about
sameAs
Estimating the accuracy of geographical imputationPersonalized exposure assessment: promising approaches for human environmental health research.Health and environment information systems for exposure and disease mapping, and risk assessmentA review of exposure assessment methods in epidemiological studies on incineratorsUse of the "exposome" in the practice of epidemiology: a primer on -omic technologiesSpatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA)Home versus nonhome neighborhood: quantifying differences in exposure to the built environment.Evaluating children's location using a personal GPS logging instrument: limitations and lessons learnedSpatial modeling of personalized exposure dynamics: the case of pesticide use in small-scale agricultural production landscapes of the developing worldA critical assessment of geographic clusters of breast and lung cancer incidences among residents living near the Tittabawassee and Saginaw Rivers, Michigan, USAAssessing and maximizing the acceptability of global positioning system device use for studying the role of human movement in dengue virus transmission in Iquitos, PeruLinkage of the California Pesticide Use Reporting Database with spatial land use data for exposure assessmentDiseases Burden of Chronic Obstructive Pulmonary Disease (COPD) Attributable to Ground-Level Ozone in Thailand: Estimates Based on Surface Monitoring Measurements DataSystematic literature review of reproductive outcome associated with residential proximity to polluted sitesAn update on cancer cluster activities at the Centers for Disease Control and Prevention.Integrating address geocoding, land use regression, and spatiotemporal geostatistical estimation for groundwater tetrachloroethyleneInfluence of human activity patterns, particle composition, and residential air exchange rates on modeled distributions of PM2.5 exposure compared with central-site monitoring data.GPS-based microenvironment tracker (MicroTrac) model to estimate time-location of individuals for air pollution exposure assessments: model evaluation in central North Carolina.Spatial relationship quantification between environmental, socioeconomic and health data at different geographic levelsStrengths and weaknesses of Global Positioning System (GPS) data-loggers and semi-structured interviews for capturing fine-scale human mobility: findings from Iquitos, Peru.Combining forces--the use of Landsat TM satellite imagery, soil parameter information, and multiplex PCR to detect Coccidioides immitis growth sites in Kern County, California.Nature, nurture and exposure: Connecting biobank data with geographic data could yield public and individual health benefits, but risks to human rights need to be assessedGeospatial Ecology of Adolescent Problem Behavior: Contributions of Community Factors and Parental Monitoring.GIS-EpiLink: a spatial search tool for linking environmental and health data.Connecting environmental health data to people and policy: integrating information and mobilizing communities for environmental public health tracking.Use of data mining techniques to investigate disease risk classification as a proxy for compromised biosecurity of cattle herds in Wales.Influence of geocoding quality on environmental exposure assessment of children living near high traffic roads.Human biomonitoring and the INSPIRE directive: spatial data as link for environment and health research.Georeferenced data in epidemiologic research.Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer researchStudying the impact of early life exposures to pesticides on the risk of testicular germ cell tumors during adulthood (TESTIS project): study protocol.Steps Forward: Review and Recommendations for Research on Walkability, Physical Activity and Cardiovascular HealthComparison of exposure estimation methods for air pollutants: ambient monitoring data and regional air quality simulationA spatial model to predict the incidence of neural tube defectsValidation and calibration of a model used to reconstruct historical exposure to polycyclic aromatic hydrocarbons for use in epidemiologic studiesDesign issues in small-area studies of environment and healthDetection of arbitrarily-shaped clusters using a neighbor-expanding approach: a case study on murine typhus in south Texas.Accuracy of commercial geocoding: assessment and implicationsUsing Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary.Estimating water supply arsenic levels in the New England Bladder Cancer Study.
P2860
Q21245773-FA93DA89-E3CC-4A1B-8609-221093A5EE11Q24813494-BE99C51D-0AE3-49D0-8DA7-542C64CBF52EQ24814972-457A669B-1946-4460-84CE-6789F25D2DB0Q26828979-A2A214C5-E4BC-484B-A972-2E4E761CC132Q27908536-7CA54A8F-332C-4427-9A4F-96A9A1D4FF2FQ28069391-5DF6C4AB-E6A0-4476-83C8-FDFF1D9474A0Q28383024-2BB2B3B8-3C8A-44F1-B7E7-AB0D69C2EFA5Q28386371-DF76E13A-13A0-4ABB-972E-396A98F63CE9Q28388557-ED7A7518-7AF3-4098-8FB2-3B9024DC4A09Q28392861-251EC040-351A-4521-868F-AC1F386E1148Q28394422-1C7DC6B0-9F84-4D0D-B597-6CA354929189Q28395742-7A534A19-2DA6-4CD2-ADA4-2C55DB89E507Q28602164-873C9DBB-29C4-4DF8-AF24-168071D59864Q30234318-4A219830-50BF-4981-9133-5A6D729047B7Q30360499-9B9B9531-82DC-41F3-932A-E121B8B0A626Q30528201-76CDE722-DDF8-40DD-8ADE-CDADE2B0D5ABQ30586135-02C83056-2321-415C-A901-9A272A84C24FQ30608993-D4389B7E-3BEA-431B-8620-2D6D6FEE7CC2Q30794583-FA4F8A03-7CD1-4246-AC60-41A784E10F88Q30830683-4097417B-2C0E-4062-83A5-969D39E29194Q30868408-9BCF8CFB-A290-4AE3-B83A-0CDE83775DA0Q30905151-EBB2AA32-DE13-4C50-B069-533AC0D58BAFQ30919777-761F05B0-D653-4E76-9521-565CB4B54D37Q31070745-42C7C853-7D10-410F-9AA9-60CB77D99ED7Q31132496-9A3BDB00-EA00-4DB3-BC6F-4B871904013BQ31161603-06EF7E21-BEA4-40FA-AADB-663A9A6063A5Q33279180-D352D35B-403B-4DE2-B732-2DEC5C536E75Q33372394-4ED0832B-CDF2-4610-B01B-3DA7CCAE0A9CQ33373696-006177A3-E5BF-42D5-9E06-A48A619E6E93Q33412118-C61F3403-C601-4D8B-A6F5-2799930F8323Q34029630-41C7D619-6CFA-4357-B055-7D6251357610Q34193367-E225B068-CDDE-4342-B44C-8A3A7EC83758Q34266686-FA78A5E6-F1F5-4BEC-ADE8-C6BF97CCEACEQ34470220-65F116E5-DF2D-4552-B3F4-A6B09B366D7CQ34804857-528E9715-62D9-4C5F-BDA5-05A114B5CD6FQ34809887-5D8A1FA6-55D1-43B9-9D65-D1EA1446EC50Q34817271-565DC741-2192-41F0-A04E-39E32B129261Q35012590-7781C1D9-814C-4CC4-B5FE-76B6DF6204D4Q35122054-49D0B512-A93B-42F4-8102-CCEDE69A542BQ35591731-CFE03DEA-EF72-4D4F-8ADB-A33B3547D889
P2860
Using geographic information systems for exposure assessment in environmental epidemiology studies.
description
2004 nî lūn-bûn
@nan
2004 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
name
Using geographic information s ...... ronmental epidemiology studies
@nl
Using geographic information s ...... onmental epidemiology studies.
@ast
Using geographic information s ...... onmental epidemiology studies.
@en
type
label
Using geographic information s ...... ronmental epidemiology studies
@nl
Using geographic information s ...... onmental epidemiology studies.
@ast
Using geographic information s ...... onmental epidemiology studies.
@en
prefLabel
Using geographic information s ...... ronmental epidemiology studies
@nl
Using geographic information s ...... onmental epidemiology studies.
@ast
Using geographic information s ...... onmental epidemiology studies.
@en
P2093
P2860
P3181
P356
P1476
Using geographic information s ...... onmental epidemiology studies.
@en
P2093
John R Nuckols
Lars Jarup
Mary H Ward
P2860
P304
P3181
P356
10.1289/EHP.6738
P407
P577
2004-06-01T00:00:00Z