Cargando…
Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis
BACKGROUND: Foot-and-mouth disease (FMD) is a highly contagious viral disease of cloven-hoofed animals. As a transboundary animal disease, the prevention and control of FMD are important. This study was based on spatial multi-criteria decision analysis (MCDA) to assess FMD risk areas in mainland Chi...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647368/ https://www.ncbi.nlm.nih.gov/pubmed/34872574 http://dx.doi.org/10.1186/s12917-021-03084-5 |
_version_ | 1784610592507559936 |
---|---|
author | Haoran, Wang Jianhua, Xiao Maolin, Ouyang Hongyan, Gao Jia, Bie Li, Gao Xiang, Gao Hongbin, Wang |
author_facet | Haoran, Wang Jianhua, Xiao Maolin, Ouyang Hongyan, Gao Jia, Bie Li, Gao Xiang, Gao Hongbin, Wang |
author_sort | Haoran, Wang |
collection | PubMed |
description | BACKGROUND: Foot-and-mouth disease (FMD) is a highly contagious viral disease of cloven-hoofed animals. As a transboundary animal disease, the prevention and control of FMD are important. This study was based on spatial multi-criteria decision analysis (MCDA) to assess FMD risk areas in mainland China. Ten risk factors were identified for constructing risk maps by scoring, and the analytic hierarchy process (AHP) was used to calculate the criteria weights of all factors. Different risk factors had different units and attributes, and fuzzy membership was used to standardize the risk factors. The weighted linear combination (WLC) and one-at-a-time (OAT) were used to obtain risk and uncertainty maps as well as to perform sensitivity analysis. RESULTS: Four major risk areas were identified in mainland China, including western (parts of Xinjiang and Tibet), southern (parts of Yunnan, Guizhou, Guangxi, Sichuan and Guangdong), northern (parts of Gansu, Ningxia and Inner Mongolia), and eastern (parts of Hebei, Henan, Anhui, Jiangsu and Shandong). Spring is the main season for FMD outbreaks. Risk areas were associated with the distance to previous outbreak points, grazing areas and cattle density. Receiver operating characteristic (ROC) analysis indicated that the risk map had good predictive power (AUC=0.8634). CONCLUSIONS: These results can be used to delineate FMD risk areas in mainland China, and veterinary services can adopt the targeted preventive measures and control strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12917-021-03084-5. |
format | Online Article Text |
id | pubmed-8647368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86473682021-12-07 Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis Haoran, Wang Jianhua, Xiao Maolin, Ouyang Hongyan, Gao Jia, Bie Li, Gao Xiang, Gao Hongbin, Wang BMC Vet Res Research BACKGROUND: Foot-and-mouth disease (FMD) is a highly contagious viral disease of cloven-hoofed animals. As a transboundary animal disease, the prevention and control of FMD are important. This study was based on spatial multi-criteria decision analysis (MCDA) to assess FMD risk areas in mainland China. Ten risk factors were identified for constructing risk maps by scoring, and the analytic hierarchy process (AHP) was used to calculate the criteria weights of all factors. Different risk factors had different units and attributes, and fuzzy membership was used to standardize the risk factors. The weighted linear combination (WLC) and one-at-a-time (OAT) were used to obtain risk and uncertainty maps as well as to perform sensitivity analysis. RESULTS: Four major risk areas were identified in mainland China, including western (parts of Xinjiang and Tibet), southern (parts of Yunnan, Guizhou, Guangxi, Sichuan and Guangdong), northern (parts of Gansu, Ningxia and Inner Mongolia), and eastern (parts of Hebei, Henan, Anhui, Jiangsu and Shandong). Spring is the main season for FMD outbreaks. Risk areas were associated with the distance to previous outbreak points, grazing areas and cattle density. Receiver operating characteristic (ROC) analysis indicated that the risk map had good predictive power (AUC=0.8634). CONCLUSIONS: These results can be used to delineate FMD risk areas in mainland China, and veterinary services can adopt the targeted preventive measures and control strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12917-021-03084-5. BioMed Central 2021-12-06 /pmc/articles/PMC8647368/ /pubmed/34872574 http://dx.doi.org/10.1186/s12917-021-03084-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Haoran, Wang Jianhua, Xiao Maolin, Ouyang Hongyan, Gao Jia, Bie Li, Gao Xiang, Gao Hongbin, Wang Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis |
title | Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis |
title_full | Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis |
title_fullStr | Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis |
title_full_unstemmed | Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis |
title_short | Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis |
title_sort | assessment of foot-and-mouth disease risk areas in mainland china based spatial multi-criteria decision analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647368/ https://www.ncbi.nlm.nih.gov/pubmed/34872574 http://dx.doi.org/10.1186/s12917-021-03084-5 |
work_keys_str_mv | AT haoranwang assessmentoffootandmouthdiseaseriskareasinmainlandchinabasedspatialmulticriteriadecisionanalysis AT jianhuaxiao assessmentoffootandmouthdiseaseriskareasinmainlandchinabasedspatialmulticriteriadecisionanalysis AT maolinouyang assessmentoffootandmouthdiseaseriskareasinmainlandchinabasedspatialmulticriteriadecisionanalysis AT hongyangao assessmentoffootandmouthdiseaseriskareasinmainlandchinabasedspatialmulticriteriadecisionanalysis AT jiabie assessmentoffootandmouthdiseaseriskareasinmainlandchinabasedspatialmulticriteriadecisionanalysis AT ligao assessmentoffootandmouthdiseaseriskareasinmainlandchinabasedspatialmulticriteriadecisionanalysis AT xianggao assessmentoffootandmouthdiseaseriskareasinmainlandchinabasedspatialmulticriteriadecisionanalysis AT hongbinwang assessmentoffootandmouthdiseaseriskareasinmainlandchinabasedspatialmulticriteriadecisionanalysis |