Neighbourhoods in eco-epidemiologic research: delimiting personal exposure areas. A response to Riva, Gauvin, Apparicio and Brodeur (Q39897465)

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English	Neighbourhoods in eco-epidemiologic research: delimiting personal exposure areas. A response to Riva, Gauvin, Apparicio and Brodeur	scientific article

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scholarly article

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Europe PubMed Central

PubMed publication ID

19692161

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15 September 2017

title

Neighbourhoods in eco-epidemiologic research: delimiting personal exposure areas. A response to Riva, Gauvin, Apparicio and Brodeur (English)

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stated in

Europe PubMed Central

PubMed publication ID

19692161

retrieved

15 September 2017

author

Juan Merlo

series ordinal

2

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Europe PubMed Central

PubMed publication ID

19692161

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15 September 2017

author name string

Basile Chaix

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1

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Europe PubMed Central

PubMed publication ID

19692161

retrieved

15 September 2017

David Evans

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3

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stated in

Europe PubMed Central

PubMed publication ID

19692161

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15 September 2017

Cinira Leal

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4

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Europe PubMed Central

PubMed publication ID

19692161

retrieved

15 September 2017

Sabrina Havard

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5

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Europe PubMed Central

PubMed publication ID

19692161

retrieved

15 September 2017

language of work or name

English

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publication date

17 August 2009

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Europe PubMed Central

PubMed publication ID

19692161

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15 September 2017

published in

Social Science and Medicine

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Europe PubMed Central

PubMed publication ID

19692161

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15 September 2017

volume

69

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Europe PubMed Central

PubMed publication ID

19692161

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15 September 2017

issue

9

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Europe PubMed Central

PubMed publication ID

19692161

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15 September 2017

page(s)

1306-1310

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Europe PubMed Central

PubMed publication ID

19692161

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15 September 2017

Identifiers

DOI

10.1016/J.SOCSCIMED.2009.07.018

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stated in

Europe PubMed Central

PubMed publication ID

19692161

retrieved

15 September 2017

PubMed publication ID

19692161

1 reference

stated in

Europe PubMed Central

PubMed publication ID

19692161

retrieved

15 September 2017

ResearchGate publication ID

26752835

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