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Establishment of an indicator framework for the transmission risk of the mountain-type zoonotic visceral leishmaniasis based on the Delphi-entropy weight method

BACKGROUND: Visceral leishmaniasis (VL) is one of the most important neglected tropical diseases. Although VL was controlled in several regions of China during the last century, the mountain-type zoonotic visceral leishmaniasis (MT-ZVL) has reemerged in the hilly areas of China in recent decades. Th...

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Autores principales: Luo, Zhuowei, Zhou, Zhengbin, Hao, Yuwan, Feng, Jiaxin, Gong, Yanfeng, Li, Yuanyuan, Huang, Yun, Zhang, Yi, Li, Shizhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730582/
https://www.ncbi.nlm.nih.gov/pubmed/36482475
http://dx.doi.org/10.1186/s40249-022-01045-0
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author Luo, Zhuowei
Zhou, Zhengbin
Hao, Yuwan
Feng, Jiaxin
Gong, Yanfeng
Li, Yuanyuan
Huang, Yun
Zhang, Yi
Li, Shizhu
author_facet Luo, Zhuowei
Zhou, Zhengbin
Hao, Yuwan
Feng, Jiaxin
Gong, Yanfeng
Li, Yuanyuan
Huang, Yun
Zhang, Yi
Li, Shizhu
author_sort Luo, Zhuowei
collection PubMed
description BACKGROUND: Visceral leishmaniasis (VL) is one of the most important neglected tropical diseases. Although VL was controlled in several regions of China during the last century, the mountain-type zoonotic visceral leishmaniasis (MT-ZVL) has reemerged in the hilly areas of China in recent decades. The purpose of this study was to construct an indicator framework for assessing the risk of the MT-ZVL in China, and to provide guidance for preventing disease. METHODS: Based on a literature review and expert interview, a 3-level indicator framework was initially established in November 2021, and 28 experts were selected to perform two rounds of consultation using the Delphi method. The comprehensive weight of the tertiary indicators was determined by the Delphi and the entropy weight methods. RESULTS: Two rounds of Delphi consultation were conducted. Four primary indicators, 11 secondary indicators, and 35 tertiary indicators were identified. The Delphi-entropy weight method was performed to calculate the comprehensive weight of the tertiary indicators. The normalized weights of the primary indicators were 0.268, 0.261, 0.242, and 0.229, respectively, for biological factors, interventions, environmental factors, and social factors. The normalized weights of the top four secondary indicators were 0.122, 0.120, 0.098, and 0.096, respectively, for climatic features, geographical features, sandflies, and dogs. Among the tertiary indicators, the top four normalized comprehensive weights were the population density of sandflies (0.076), topography (0.057), the population density of dogs, including tethering (0.056), and use of bed nets or other protective measures (0.056). CONCLUSIONS: An indicator framework of transmission risk assessment for MT-ZVL was established using the Delphi-entropy weight method. The framework provides a practical tool to evaluate transmission risk in endemic areas. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-022-01045-0.
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spelling pubmed-97305822022-12-09 Establishment of an indicator framework for the transmission risk of the mountain-type zoonotic visceral leishmaniasis based on the Delphi-entropy weight method Luo, Zhuowei Zhou, Zhengbin Hao, Yuwan Feng, Jiaxin Gong, Yanfeng Li, Yuanyuan Huang, Yun Zhang, Yi Li, Shizhu Infect Dis Poverty Research Article BACKGROUND: Visceral leishmaniasis (VL) is one of the most important neglected tropical diseases. Although VL was controlled in several regions of China during the last century, the mountain-type zoonotic visceral leishmaniasis (MT-ZVL) has reemerged in the hilly areas of China in recent decades. The purpose of this study was to construct an indicator framework for assessing the risk of the MT-ZVL in China, and to provide guidance for preventing disease. METHODS: Based on a literature review and expert interview, a 3-level indicator framework was initially established in November 2021, and 28 experts were selected to perform two rounds of consultation using the Delphi method. The comprehensive weight of the tertiary indicators was determined by the Delphi and the entropy weight methods. RESULTS: Two rounds of Delphi consultation were conducted. Four primary indicators, 11 secondary indicators, and 35 tertiary indicators were identified. The Delphi-entropy weight method was performed to calculate the comprehensive weight of the tertiary indicators. The normalized weights of the primary indicators were 0.268, 0.261, 0.242, and 0.229, respectively, for biological factors, interventions, environmental factors, and social factors. The normalized weights of the top four secondary indicators were 0.122, 0.120, 0.098, and 0.096, respectively, for climatic features, geographical features, sandflies, and dogs. Among the tertiary indicators, the top four normalized comprehensive weights were the population density of sandflies (0.076), topography (0.057), the population density of dogs, including tethering (0.056), and use of bed nets or other protective measures (0.056). CONCLUSIONS: An indicator framework of transmission risk assessment for MT-ZVL was established using the Delphi-entropy weight method. The framework provides a practical tool to evaluate transmission risk in endemic areas. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-022-01045-0. BioMed Central 2022-12-08 /pmc/articles/PMC9730582/ /pubmed/36482475 http://dx.doi.org/10.1186/s40249-022-01045-0 Text en © The Author(s) 2022 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 Article
Luo, Zhuowei
Zhou, Zhengbin
Hao, Yuwan
Feng, Jiaxin
Gong, Yanfeng
Li, Yuanyuan
Huang, Yun
Zhang, Yi
Li, Shizhu
Establishment of an indicator framework for the transmission risk of the mountain-type zoonotic visceral leishmaniasis based on the Delphi-entropy weight method
title Establishment of an indicator framework for the transmission risk of the mountain-type zoonotic visceral leishmaniasis based on the Delphi-entropy weight method
title_full Establishment of an indicator framework for the transmission risk of the mountain-type zoonotic visceral leishmaniasis based on the Delphi-entropy weight method
title_fullStr Establishment of an indicator framework for the transmission risk of the mountain-type zoonotic visceral leishmaniasis based on the Delphi-entropy weight method
title_full_unstemmed Establishment of an indicator framework for the transmission risk of the mountain-type zoonotic visceral leishmaniasis based on the Delphi-entropy weight method
title_short Establishment of an indicator framework for the transmission risk of the mountain-type zoonotic visceral leishmaniasis based on the Delphi-entropy weight method
title_sort establishment of an indicator framework for the transmission risk of the mountain-type zoonotic visceral leishmaniasis based on the delphi-entropy weight method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730582/
https://www.ncbi.nlm.nih.gov/pubmed/36482475
http://dx.doi.org/10.1186/s40249-022-01045-0
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