Quantitative assessment of a spatial multicriteria model for highly pathogenic avian influenza H5N1 in Thailand, and application in Cambodia (Q26779550)

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English	Quantitative assessment of a spatial multicriteria model for highly pathogenic avian influenza H5N1 in Thailand, and application in Cambodia	scientific article

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Quantitative assessment of a spatial multicriteria model for highly pathogenic avian influenza H5N1 in Thailand, and application in Cambodia (English)

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avian influenza

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Mathilde Cécile Paul

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11 June 2020

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11 June 2020

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11 June 2020

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Flavie L Goutard

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11 June 2020

Floriane Roulleau

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11 June 2020

Davun Holl

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11 June 2020

Weerapong Thanapongtharm

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2016

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Scientific Reports

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11 June 2020

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11 June 2020

31096

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11 June 2020

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1 August 2016

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ArcGIS

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Europe PubMed Central

18 June 2022

https://europepmc.org/article/PMC/4977984

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28 September 2017

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28 September 2017

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Spatial distribution and risk factors of highly pathogenic avian influenza (HPAI) H5N1 in China

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Ecologic risk factor investigation of clusters of avian influenza A (H5N1) virus infection in Thailand

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Remote sensing and avian influenza: A review of image processing methods for extracting key variables affecting avian influenza virus survival in water from Earth Observation satellites

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Methylmercury exposure in a subsistence fishing community in Lake Chapala, Mexico: an ecological approach.

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10.1038/SREP31096

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Consolidated OpenCitations Corpus – April 2017

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Europe PubMed Central

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11 June 2020

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27489997%20AND%20SRC:MED&resulttype=core&format=json

11 June 2020

2 references

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27489997%20AND%20SRC:MED&resulttype=core&format=json

11 June 2020

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10.1038/srep31096

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