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Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods
Dengue fever, which is spread by Aedes mosquitoes, has claimed many lives in Kerala, with the Thiruvananthapuram district bearing the brunt of the toll. This study aims to demarcate the dengue risk zones in Thiruvananthapuram district using the analytical hierarchy process (AHP) and the fuzzy-AHP (F...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483355/ https://www.ncbi.nlm.nih.gov/pubmed/36157197 http://dx.doi.org/10.1007/s10708-022-10757-7 |
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author | Harsha, G. Anish, T. S. Rajaneesh, A. Prasad, Megha K. Mathew, Ronu Mammen, Pratheesh C. Ajin, R. S. Kuriakose, Sekhar L. |
author_facet | Harsha, G. Anish, T. S. Rajaneesh, A. Prasad, Megha K. Mathew, Ronu Mammen, Pratheesh C. Ajin, R. S. Kuriakose, Sekhar L. |
author_sort | Harsha, G. |
collection | PubMed |
description | Dengue fever, which is spread by Aedes mosquitoes, has claimed many lives in Kerala, with the Thiruvananthapuram district bearing the brunt of the toll. This study aims to demarcate the dengue risk zones in Thiruvananthapuram district using the analytical hierarchy process (AHP) and the fuzzy-AHP (F-AHP) methods. For the risk modelling, geo-environmental factors (normalized difference vegetation index, land surface temperature, topographic wetness index, land use/land cover types, elevation, normalized difference built-up index) and demographic factors (household density, population density) have been utilized. The ArcGIS 10.8 and ERDAS Imagine 8.4 software tools have been used to derive the risk zone maps. The area of the risk maps is classified into five zones. The dengue risk zone maps were validated using dengue case data collected from the Integrated Disease Surveillance Programme portal. From the receiver operating characteristic (ROC) curve analysis and the area under the ROC curve (AUC) values, it is proved that the F-AHP method (AUC value of 0.971) has comparatively more prediction capability than the AHP method (AUC value of 0.954) in demarcating the dengue risk zones. Also, based on the comparison of the risk zone map with actual case data, it was confirmed that around 82.87% of the dengue cases occurred in the very high and high-risk zones, thus proving the efficacy of the model. According to the dengue risk map prepared using the F-AHP model, 9.09% of the area of Thiruvananthapuram district is categorized as very high risk. The prepared dengue risk maps will be helpful for decision-makers, staff with the health, and disaster management departments in adopting effective measures to prevent the risks of dengue spread and thereby minimize loss of life. |
format | Online Article Text |
id | pubmed-9483355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-94833552022-09-19 Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods Harsha, G. Anish, T. S. Rajaneesh, A. Prasad, Megha K. Mathew, Ronu Mammen, Pratheesh C. Ajin, R. S. Kuriakose, Sekhar L. GeoJournal Article Dengue fever, which is spread by Aedes mosquitoes, has claimed many lives in Kerala, with the Thiruvananthapuram district bearing the brunt of the toll. This study aims to demarcate the dengue risk zones in Thiruvananthapuram district using the analytical hierarchy process (AHP) and the fuzzy-AHP (F-AHP) methods. For the risk modelling, geo-environmental factors (normalized difference vegetation index, land surface temperature, topographic wetness index, land use/land cover types, elevation, normalized difference built-up index) and demographic factors (household density, population density) have been utilized. The ArcGIS 10.8 and ERDAS Imagine 8.4 software tools have been used to derive the risk zone maps. The area of the risk maps is classified into five zones. The dengue risk zone maps were validated using dengue case data collected from the Integrated Disease Surveillance Programme portal. From the receiver operating characteristic (ROC) curve analysis and the area under the ROC curve (AUC) values, it is proved that the F-AHP method (AUC value of 0.971) has comparatively more prediction capability than the AHP method (AUC value of 0.954) in demarcating the dengue risk zones. Also, based on the comparison of the risk zone map with actual case data, it was confirmed that around 82.87% of the dengue cases occurred in the very high and high-risk zones, thus proving the efficacy of the model. According to the dengue risk map prepared using the F-AHP model, 9.09% of the area of Thiruvananthapuram district is categorized as very high risk. The prepared dengue risk maps will be helpful for decision-makers, staff with the health, and disaster management departments in adopting effective measures to prevent the risks of dengue spread and thereby minimize loss of life. Springer Netherlands 2022-09-16 2023 /pmc/articles/PMC9483355/ /pubmed/36157197 http://dx.doi.org/10.1007/s10708-022-10757-7 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Harsha, G. Anish, T. S. Rajaneesh, A. Prasad, Megha K. Mathew, Ronu Mammen, Pratheesh C. Ajin, R. S. Kuriakose, Sekhar L. Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods |
title | Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods |
title_full | Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods |
title_fullStr | Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods |
title_full_unstemmed | Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods |
title_short | Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods |
title_sort | dengue risk zone mapping of thiruvananthapuram district, india: a comparison of the ahp and f-ahp methods |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483355/ https://www.ncbi.nlm.nih.gov/pubmed/36157197 http://dx.doi.org/10.1007/s10708-022-10757-7 |
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