Dengue risk assessment using multicriteria decision analysis: A case study of Bhutan.
Background Dengue is the most rapidly spreading vector-borne disease globally, with a 30-fold increase in global incidence over the last 50 years. In Bhutan, dengue incidence has been on the rise since 2004, with numerous outbreaks reported across the country. The aim of this study was to identify a...
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ftdoajarticles:oai:doaj.org/article:d4674e64c62044d6968bf8321846eee2 2023-05-15T15:10:23+02:00 Dengue risk assessment using multicriteria decision analysis: A case study of Bhutan. Tsheten Tsheten Archie C A Clements Darren J Gray Kinley Wangdi 2021-02-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0009021 https://doaj.org/article/d4674e64c62044d6968bf8321846eee2 EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0009021 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0009021 https://doaj.org/article/d4674e64c62044d6968bf8321846eee2 PLoS Neglected Tropical Diseases, Vol 15, Iss 2, p e0009021 (2021) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2021 ftdoajarticles https://doi.org/10.1371/journal.pntd.0009021 2022-12-31T11:50:15Z Background Dengue is the most rapidly spreading vector-borne disease globally, with a 30-fold increase in global incidence over the last 50 years. In Bhutan, dengue incidence has been on the rise since 2004, with numerous outbreaks reported across the country. The aim of this study was to identify and map areas that are vulnerable to dengue in Bhutan. Methodology/principal findings We conducted a multicriteria decision analysis (MCDA) using a weighted linear combination (WLC) to obtain a vulnerability map of dengue. Risk factors (criteria) were identified and assigned with membership values for vulnerability according to the available literature. Sensitivity analysis and validation of the model was conducted to improve the robustness and predictive ability of the map. Our study revealed marked differences in geographical vulnerability to dengue by location and season. Low-lying areas and those located along the southern border were consistently found to be at higher risk of dengue. The vulnerability extended to higher elevation areas including some areas in the Capital city Thimphu during the summer season. The higher risk was mostly associated with relatively high population density, agricultural and built-up landscapes and relatively good road connectivity. Conclusions Using MCDA, our study identified vulnerable areas in Bhutan during specific seasons when and where the transmission of dengue is most likely to occur. This study provides evidence for the National Vector-borne Disease Control programme to optimize the use of limited public health resources for surveillance and vector control, to mitigate the public health threat of dengue. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 15 2 e0009021 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Tsheten Tsheten Archie C A Clements Darren J Gray Kinley Wangdi Dengue risk assessment using multicriteria decision analysis: A case study of Bhutan. |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Background Dengue is the most rapidly spreading vector-borne disease globally, with a 30-fold increase in global incidence over the last 50 years. In Bhutan, dengue incidence has been on the rise since 2004, with numerous outbreaks reported across the country. The aim of this study was to identify and map areas that are vulnerable to dengue in Bhutan. Methodology/principal findings We conducted a multicriteria decision analysis (MCDA) using a weighted linear combination (WLC) to obtain a vulnerability map of dengue. Risk factors (criteria) were identified and assigned with membership values for vulnerability according to the available literature. Sensitivity analysis and validation of the model was conducted to improve the robustness and predictive ability of the map. Our study revealed marked differences in geographical vulnerability to dengue by location and season. Low-lying areas and those located along the southern border were consistently found to be at higher risk of dengue. The vulnerability extended to higher elevation areas including some areas in the Capital city Thimphu during the summer season. The higher risk was mostly associated with relatively high population density, agricultural and built-up landscapes and relatively good road connectivity. Conclusions Using MCDA, our study identified vulnerable areas in Bhutan during specific seasons when and where the transmission of dengue is most likely to occur. This study provides evidence for the National Vector-borne Disease Control programme to optimize the use of limited public health resources for surveillance and vector control, to mitigate the public health threat of dengue. |
format |
Article in Journal/Newspaper |
author |
Tsheten Tsheten Archie C A Clements Darren J Gray Kinley Wangdi |
author_facet |
Tsheten Tsheten Archie C A Clements Darren J Gray Kinley Wangdi |
author_sort |
Tsheten Tsheten |
title |
Dengue risk assessment using multicriteria decision analysis: A case study of Bhutan. |
title_short |
Dengue risk assessment using multicriteria decision analysis: A case study of Bhutan. |
title_full |
Dengue risk assessment using multicriteria decision analysis: A case study of Bhutan. |
title_fullStr |
Dengue risk assessment using multicriteria decision analysis: A case study of Bhutan. |
title_full_unstemmed |
Dengue risk assessment using multicriteria decision analysis: A case study of Bhutan. |
title_sort |
dengue risk assessment using multicriteria decision analysis: a case study of bhutan. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doi.org/10.1371/journal.pntd.0009021 https://doaj.org/article/d4674e64c62044d6968bf8321846eee2 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 15, Iss 2, p e0009021 (2021) |
op_relation |
https://doi.org/10.1371/journal.pntd.0009021 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0009021 https://doaj.org/article/d4674e64c62044d6968bf8321846eee2 |
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https://doi.org/10.1371/journal.pntd.0009021 |
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PLOS Neglected Tropical Diseases |
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15 |
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2 |
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e0009021 |
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1766341428865138688 |