ArticleInternational journal of environmental research and public health2021
A Heat Vulnerability Index: Spatial Patterns of Exposure, Sensitivity and Adaptive Capacity for Urbanites of Four Cities of India.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 39 citations in OpenAlex.
- Combating urban heat: Systematic review of urban resilience and adaptation strategies.Heliyon · 2024Article
- Spatiotemporal characterization of heatwave exposure across historically vulnerable communities.Scientific reports · 2024Article
- Social vulnerability assessment under different extreme precipitation scenarios: A case study in Henan Province, China.PloS one · 2024Article
- Characteristics of Households' Vulnerability to Extreme Heat: An Analytical Cross-Sectional Study from India.International journal of environmental research and public health · 2022Article
- Heat Exposure, Heat-Related Symptoms and Coping Strategies among Elderly Residents of Urban Slums and Rural Vilages in West Bengal, India.International journal of environmental research and public health · 2022Article
- Urban heat vulnerability: A dynamic assessment using multi-source data in coastal metropolis of Southeast China.Frontiers in public health · 2022Article
- Towards climate-responsive cities: developing a heat vulnerability index for Jodhpur City, India.The journal of climate change and healthArticle
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extreme heat and heat waves have been established as disasters which can lead to a great loss of life. Several studies over the years, both within and outside of India, have shown how extreme heat events lead to an overall increase in mortality. However, the impact of extreme heat, similar to other disasters, depends upon the vulnerability of the population. This study aims to assess the extreme heat vulnerability of the population of four cities with different characteristics across India. This cross-sectional study included 500 households from each city across the urban localities (both slum and non-slum) of Ongole in Andhra Pradesh, Karimnagar in Telangana, Kolkata in West Bengal and Angul in Odisha. Twenty-one indicators were used to construct a household vulnerability index to understand the vulnerability of the cities. The results have shown that the majority of the households fell under moderate to high vulnerability level across all the cities. Angul and Kolkata were found to be more highly vulnerable as compared to Ongole and Karimnagar. Further analysis also revealed that household vulnerability is more significantly related to adaptive capacity than sensitivity and exposure. Heat Vulnerability Index can help in identifying the vulnerable population and scaling up adaptive practices.
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