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Use of geographic indicators of healthcare, environment and socioeconomic factors to characterize environmental health disparities

Overview of attention for article published in Environmental Health, July 2016
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33 Dimensions

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166 Mendeley
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Title
Use of geographic indicators of healthcare, environment and socioeconomic factors to characterize environmental health disparities
Published in
Environmental Health, July 2016
DOI 10.1186/s12940-016-0163-7
Pubmed ID
Authors

Cindy M. Padilla, Wahida Kihal-Talantikit, Sandra Perez, Severine Deguen

Abstract

An environmental health inequality is a major public health concern in Europe. However just few studies take into account a large set of characteristics to analyze this problematic. The aim of this study was to identify and describe how socioeconomic, health accessibility and exposure factors accumulate and interact in small areas in a French urban context, to assess environmental health inequalities related to infant and neonatal mortality. Environmental indicators on deprivation index, proximity to high-traffic roads, green space, and healthcare accessibility were created using the Geographical Information System. Cases were collected from death certificates in the city hall of each municipality in the Nice metropolitan area. Using the parental addresses, cases were geocoded to their census block of residence. A classification using a Multiple Component Analysis following by a Hierarchical Clustering allow us to characterize the census blocks in terms of level of socioeconomic, environmental and accessibility to healthcare, which are very diverse definition by nature. Relation between infant and neonatal mortality rate and the three environmental patterns which categorize the census blocks after the classification was performed using a standard Poisson regression model for count data after checking the assumption of dispersion. Based on geographic indicators, three environmental patterns were identified. We found environmental inequalities and social health inequalities in Nice metropolitan area. Moreover these inequalities are counterbalance by the close proximity of deprived census blocks to healthcare facilities related to mother and newborn. So therefore we demonstrate no environmental health inequalities related to infant and neonatal mortality. Examination of patterns of social, environmental and in relation with healthcare access is useful to identify census blocks with needs and their effects on health. Similar analyzes could be implemented and considered in other cities or related to other birth outcomes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Canada 1 <1%
Unknown 164 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 19%
Researcher 27 16%
Student > Ph. D. Student 24 14%
Student > Doctoral Student 10 6%
Professor 9 5%
Other 32 19%
Unknown 33 20%
Readers by discipline Count As %
Medicine and Dentistry 27 16%
Social Sciences 23 14%
Environmental Science 19 11%
Nursing and Health Professions 18 11%
Engineering 6 4%
Other 34 20%
Unknown 39 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 September 2016.
All research outputs
#14,268,650
of 22,881,154 outputs
Outputs from Environmental Health
#1,031
of 1,495 outputs
Outputs of similar age
#213,176
of 364,027 outputs
Outputs of similar age from Environmental Health
#18
of 30 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,495 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.3. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,027 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.