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A spatial assessment of Nipah virus transmission in Thailand pig farms using multi-criteria decision analysis
BACKGROUND: Thailand’s Central Plain is identified as a contact zone between pigs and flying foxes, representing a potential zoonotic risk. Nipah virus (NiV) has been reported in flying foxes in Thailand, but it has never been found in pigs or humans. An assessment of the suitability of NiV transmis...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399983/ https://www.ncbi.nlm.nih.gov/pubmed/30832676 http://dx.doi.org/10.1186/s12917-019-1815-y |
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author | Thanapongtharm, Weerapong Paul, Mathilde C. Wiratsudakul, Anuwat Wongphruksasoong, Vilaiporn Kalpravidh, Wantanee Wongsathapornchai, Kachen Damrongwatanapokin, Sudarat Schar, Daniel Gilbert, Marius |
author_facet | Thanapongtharm, Weerapong Paul, Mathilde C. Wiratsudakul, Anuwat Wongphruksasoong, Vilaiporn Kalpravidh, Wantanee Wongsathapornchai, Kachen Damrongwatanapokin, Sudarat Schar, Daniel Gilbert, Marius |
author_sort | Thanapongtharm, Weerapong |
collection | PubMed |
description | BACKGROUND: Thailand’s Central Plain is identified as a contact zone between pigs and flying foxes, representing a potential zoonotic risk. Nipah virus (NiV) has been reported in flying foxes in Thailand, but it has never been found in pigs or humans. An assessment of the suitability of NiV transmission at the spatial and farm level would be useful for disease surveillance and prevention. Multi-criteria decision analysis (MCDA), a knowledge-driven model, was used to map contact zones between local epizootic risk factors as well as to quantify the suitability of NiV transmission at the pixel and farm level. RESULTS: Spatial risk factors of NiV transmission in pigs were identified by experts as being of three types, including i) natural host factors (bat preferred areas and distance to the nearest bat colony), ii) intermediate host factors (pig population density), and iii) environmental factors (distance to the nearest forest, distance to the nearest orchard, distance to the nearest water body, and human population density). The resulting high suitable areas were concentrated around the bat colonies in three provinces in the East of Thailand, including Chacheongsao, Chonburi, and Nakhonnayok. The suitability of NiV transmission in pig farms in the study area was quantified as ranging from very low to medium suitability. CONCLUSIONS: We believe that risk-based surveillance in the identified priority areas may increase the chances of finding out NiV and other bat-borne pathogens and thereby optimize the allocation of financial resources for disease surveillance. In the long run, improvements of biosecurity in those priority areas may also contribute to preventing the spread of potential emergence of NiV and other bat-borne pathogens. |
format | Online Article Text |
id | pubmed-6399983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63999832019-03-14 A spatial assessment of Nipah virus transmission in Thailand pig farms using multi-criteria decision analysis Thanapongtharm, Weerapong Paul, Mathilde C. Wiratsudakul, Anuwat Wongphruksasoong, Vilaiporn Kalpravidh, Wantanee Wongsathapornchai, Kachen Damrongwatanapokin, Sudarat Schar, Daniel Gilbert, Marius BMC Vet Res Research Article BACKGROUND: Thailand’s Central Plain is identified as a contact zone between pigs and flying foxes, representing a potential zoonotic risk. Nipah virus (NiV) has been reported in flying foxes in Thailand, but it has never been found in pigs or humans. An assessment of the suitability of NiV transmission at the spatial and farm level would be useful for disease surveillance and prevention. Multi-criteria decision analysis (MCDA), a knowledge-driven model, was used to map contact zones between local epizootic risk factors as well as to quantify the suitability of NiV transmission at the pixel and farm level. RESULTS: Spatial risk factors of NiV transmission in pigs were identified by experts as being of three types, including i) natural host factors (bat preferred areas and distance to the nearest bat colony), ii) intermediate host factors (pig population density), and iii) environmental factors (distance to the nearest forest, distance to the nearest orchard, distance to the nearest water body, and human population density). The resulting high suitable areas were concentrated around the bat colonies in three provinces in the East of Thailand, including Chacheongsao, Chonburi, and Nakhonnayok. The suitability of NiV transmission in pig farms in the study area was quantified as ranging from very low to medium suitability. CONCLUSIONS: We believe that risk-based surveillance in the identified priority areas may increase the chances of finding out NiV and other bat-borne pathogens and thereby optimize the allocation of financial resources for disease surveillance. In the long run, improvements of biosecurity in those priority areas may also contribute to preventing the spread of potential emergence of NiV and other bat-borne pathogens. BioMed Central 2019-03-04 /pmc/articles/PMC6399983/ /pubmed/30832676 http://dx.doi.org/10.1186/s12917-019-1815-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Thanapongtharm, Weerapong Paul, Mathilde C. Wiratsudakul, Anuwat Wongphruksasoong, Vilaiporn Kalpravidh, Wantanee Wongsathapornchai, Kachen Damrongwatanapokin, Sudarat Schar, Daniel Gilbert, Marius A spatial assessment of Nipah virus transmission in Thailand pig farms using multi-criteria decision analysis |
title | A spatial assessment of Nipah virus transmission in Thailand pig farms using multi-criteria decision analysis |
title_full | A spatial assessment of Nipah virus transmission in Thailand pig farms using multi-criteria decision analysis |
title_fullStr | A spatial assessment of Nipah virus transmission in Thailand pig farms using multi-criteria decision analysis |
title_full_unstemmed | A spatial assessment of Nipah virus transmission in Thailand pig farms using multi-criteria decision analysis |
title_short | A spatial assessment of Nipah virus transmission in Thailand pig farms using multi-criteria decision analysis |
title_sort | spatial assessment of nipah virus transmission in thailand pig farms using multi-criteria decision analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399983/ https://www.ncbi.nlm.nih.gov/pubmed/30832676 http://dx.doi.org/10.1186/s12917-019-1815-y |
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