Spatial relationship quantification between environmental, socioeconomic and health data at different geographic levels - Wikidata - thesis-toulmin - TriplyDB

Spatial relationship quantification between environmental, socioeconomic and health data at different geographic levels

Spatial relationship quantification between environmental, socioeconomic and health data at different geographic levels

http://www.wikidata.org/entity/Q30794583

about

Regional disparities in obesity prevalence in the United States: A spatial regime analysis Regional inequalities in self-rated health and disability in younger and older generations in Turkey: the contribution of wealth and education Change in Obesity Prevalence across the United States Is Influenced by Recreational and Healthcare Contexts, Food Environments, and Hispanic Populations.Building spatial composite indicators to analyze environmental health inequalities on a regional scale.Socioeconomic and environmental determinants of dengue transmission in an urban setting: An ecological study in Nouméa, New Caledonia.The pattern of lip cancer occurrence over the 1990-2011 period in public hospitals in Madrid, Spain.Diabetes prevalence is associated with different community factors in the diabetes belt versus the rest of the United States.The context of context: Examining the associations between healthy and unhealthy measures of neighborhood food, physical activity, and social environments.Conceptualizing a Spatial Data Infrastructure for the Social Sciences: An Example from Germany Quantitative Assessment of Relationship between Population Exposure to PM and Socio-Economic Factors at Multiple Spatial Scales over Mainland China

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P2860

Spatial relationship quantification between environmental, socioeconomic and health data at different geographic levels

http://www.wikidata.org/entity/Q30794583

description

2014 nî lūn-bûn

@nan

2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի ապրիլին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Spatial relationship quantific ...... at different geographic levels

@ast

Spatial relationship quantific ...... at different geographic levels

@en

type

label

Spatial relationship quantific ...... at different geographic levels

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Spatial relationship quantific ...... at different geographic levels

@en

prefLabel

Spatial relationship quantific ...... at different geographic levels

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Spatial relationship quantific ...... at different geographic levels

@en

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IJERPH110403765

P1433

International Journal of Environmental Research and Public Health

P1476

Spatial relationship quantific ...... at different geographic levels

@en

P2093

Alain Trugeon

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

Andre Cicolella

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

Mahdi-Salim Saib

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

Olivier Ganry

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

P2860

Accounting for regional background and population size in the detection of spatial clusters and outliers using geostatistical filtering and spatial neutral models: the case of lung cancer in Long Island, New York

Using geographic information systems for exposure assessment in environmental epidemiology studies.

Geostatistical analysis of disease data: estimation of cancer mortality risk from empirical frequencies using Poisson kriging

Geostatistical analysis of disease data: visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation.

Zone design for environment and health studies using pre-aggregated data.

Geostatistical analysis of disease data: accounting for spatial support and population density in the isopleth mapping of cancer mortality risk using area-to-point Poisson kriging.

Ecological association between a deprivation index and mortality in France over the period 1997 - 2001: variations with spatial scale, degree of urbanicity, age, gender and cause of death

Disease map reconstruction.

Geographical patterns of excess mortality in Spain explained by two indices of deprivation.

The modifiable areal unit problem (MAUP) in the relationship between exposure to NO2 and respiratory health.

P304

3765-3786

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scholarly article

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10.3390/IJERPH110403765

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4

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11

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Florence Carré

Julien Caudeville

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2014-04-03T00:00:00Z

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261408376

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24705362

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4025013

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