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Spatial patterns of health vulnerability to heatwaves in Vietnam

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Abstract

The increasing frequency and intensity of heat events have weighty impacts on public health in Vietnam, but their effects vary across regions. In this study, we have applied a vulnerability assessment framework (VAF) to systematically assess the spatial pattern of health vulnerability to heatwaves in Vietnam. The VAF was computed as the function of three dimensions: exposure, sensitivity, and adaptive capacity, with the indicators for each dimension derived from the relevant literature, consultation with experts, and available data. An analytic hierarchy process (AHP) was used to determine the weight of indicators. Each province in Vietnam’s vulnerability to the health impacts of heatwaves was evaluated by applying the vulnerability index, computed using 13 indicators (sensitivity index, 9; adaptive capacity index, 3; and exposure index, 1). As a result of this analysis, this study has identified heatwave vulnerability ‘hotspots’, primarily in the Southeast, Central Highlands, and South Central Coast of Vietnam. However, these hotspots are not necessarily the same as the area most vulnerable to climate change, because some areas that are more sensitive to heatwaves may have a higher capacity to adapt to them due to a host of factors including their population characteristics (e.g. rates of the elderly or children), socio-economic and geographical conditions, and the availability of air-conditioners. This kind of information, provided by the vulnerability index framework, allows policymakers to determine how to more efficiently allocate resources and devise appropriate interventions to minimise the impact of heatwaves with strategies tailored to each region of Vietnam.

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Funding

DP, CH, and TND were supported by the Asia-Pacific Network for Global Change Research (CRRP2016-10MY-Huang).

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Authors and Affiliations

  1. The Institute of Research and Development, Duy Tan University, Da Nang, Vietnam

    Dang Ngoc Tran

  2. Department of Environmental Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh, Vietnam

    Dang Ngoc Tran & Vien Truong Nguyen

  3. Centre for Computational Sciences, the University of Tsukuba, Tsukuba, Ibaraki, 305-8577, Japan

    Van Quang Doan

  4. Department of Geography, Lalbaba College, Howrah, India

    Ansar Khan

  5. Queensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, QLD, 4102, Australia

    Phong K. Thai

  6. Health Management and Policy, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong Province, China

    Huang Cunrui

  7. Centre for Environment and Population Health, School of Medicine, Griffith University, Brisbane, Australia

    Cordia Chu, Elena Schak & Dung Phung

  8. School of Medicine, Griffith University, Gold Coast campus, Parklands Drive, Southport, QLD, 4222, Australia

    Dung Phung

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  1. Dang Ngoc Tran
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Correspondence to Dung Phung.

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Tran, D.N., Doan, V.Q., Nguyen, V.T. et al. Spatial patterns of health vulnerability to heatwaves in Vietnam. Int J Biometeorol 64, 863–872 (2020). https://doi.org/10.1007/s00484-020-01876-2

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