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Heat Wave Vulnerability Mapping for India
Assessing geographic variability in heat wave vulnerability forms the basis for planning appropriate targeted adaptation strategies. Given several recent deadly heatwaves in India, heat is increasingly being recognized as a public health problem. However, to date there has not been a country-wide as...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5409558/ https://www.ncbi.nlm.nih.gov/pubmed/28358338 http://dx.doi.org/10.3390/ijerph14040357 |
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author | Azhar, Gulrez Saha, Shubhayu Ganguly, Partha Mavalankar, Dileep Madrigano, Jaime |
author_facet | Azhar, Gulrez Saha, Shubhayu Ganguly, Partha Mavalankar, Dileep Madrigano, Jaime |
author_sort | Azhar, Gulrez |
collection | PubMed |
description | Assessing geographic variability in heat wave vulnerability forms the basis for planning appropriate targeted adaptation strategies. Given several recent deadly heatwaves in India, heat is increasingly being recognized as a public health problem. However, to date there has not been a country-wide assessment of heat vulnerability in India. We evaluated demographic, socioeconomic, and environmental vulnerability factors and combined district level data from several sources including the most recent census, health reports, and satellite remote sensing data. We then applied principal component analysis (PCA) on 17 normalized variables for each of the 640 districts to create a composite Heat Vulnerability Index (HVI) for India. Of the total 640 districts, our analysis identified 10 and 97 districts in the very high and high risk categories (> 2SD and 2-1SD HVI) respectively. Mapping showed that the districts with higher heat vulnerability are located in the central parts of the country. On examination, these are less urbanized and have low rates of literacy, access to water and sanitation, and presence of household amenities. Therefore, we concluded that creating and mapping a heat vulnerability index is a useful first step in protecting the public from the health burden of heat. Future work should incorporate heat exposure and health outcome data to validate the index, as well as examine sub-district levels of vulnerability. |
format | Online Article Text |
id | pubmed-5409558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-54095582017-05-03 Heat Wave Vulnerability Mapping for India Azhar, Gulrez Saha, Shubhayu Ganguly, Partha Mavalankar, Dileep Madrigano, Jaime Int J Environ Res Public Health Article Assessing geographic variability in heat wave vulnerability forms the basis for planning appropriate targeted adaptation strategies. Given several recent deadly heatwaves in India, heat is increasingly being recognized as a public health problem. However, to date there has not been a country-wide assessment of heat vulnerability in India. We evaluated demographic, socioeconomic, and environmental vulnerability factors and combined district level data from several sources including the most recent census, health reports, and satellite remote sensing data. We then applied principal component analysis (PCA) on 17 normalized variables for each of the 640 districts to create a composite Heat Vulnerability Index (HVI) for India. Of the total 640 districts, our analysis identified 10 and 97 districts in the very high and high risk categories (> 2SD and 2-1SD HVI) respectively. Mapping showed that the districts with higher heat vulnerability are located in the central parts of the country. On examination, these are less urbanized and have low rates of literacy, access to water and sanitation, and presence of household amenities. Therefore, we concluded that creating and mapping a heat vulnerability index is a useful first step in protecting the public from the health burden of heat. Future work should incorporate heat exposure and health outcome data to validate the index, as well as examine sub-district levels of vulnerability. MDPI 2017-03-30 2017-04 /pmc/articles/PMC5409558/ /pubmed/28358338 http://dx.doi.org/10.3390/ijerph14040357 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Azhar, Gulrez Saha, Shubhayu Ganguly, Partha Mavalankar, Dileep Madrigano, Jaime Heat Wave Vulnerability Mapping for India |
title | Heat Wave Vulnerability Mapping for India |
title_full | Heat Wave Vulnerability Mapping for India |
title_fullStr | Heat Wave Vulnerability Mapping for India |
title_full_unstemmed | Heat Wave Vulnerability Mapping for India |
title_short | Heat Wave Vulnerability Mapping for India |
title_sort | heat wave vulnerability mapping for india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5409558/ https://www.ncbi.nlm.nih.gov/pubmed/28358338 http://dx.doi.org/10.3390/ijerph14040357 |
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