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Spatial patterns of health vulnerability to heatwaves in Vietnam.
Tran, Dang Ngoc; Doan, Van Quang; Nguyen, Vien Truong; Khan, Ansar; Thai, Phong K; Cunrui, Huang; Chu, Cordia; Schak, Elena; Phung, Dung.
Afiliación
  • Tran DN; The Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.
  • Doan VQ; Department of Environmental Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh, Vietnam.
  • Nguyen VT; Centre for Computational Sciences, the University of Tsukuba, Tsukuba, Ibaraki, 305-8577, Japan.
  • Khan A; Department of Environmental Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh, Vietnam.
  • Thai PK; Department of Geography, Lalbaba College, Howrah, India.
  • Cunrui H; Queensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, QLD, 4102, Australia.
  • Chu C; Health Management and Policy, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.
  • Schak E; Centre for Environment and Population Health, School of Medicine, Griffith University, Brisbane, Australia.
  • Phung D; Centre for Environment and Population Health, School of Medicine, Griffith University, Brisbane, Australia.
Int J Biometeorol ; 64(5): 863-872, 2020 May.
Article en En | MEDLINE | ID: mdl-32086569
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cambio Climático / Calor Tipo de estudio: Prognostic_studies Límite: Aged / Child / Humans País/Región como asunto: Asia Idioma: En Revista: Int J Biometeorol Año: 2020 Tipo del documento: Article País de afiliación: Vietnam

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cambio Climático / Calor Tipo de estudio: Prognostic_studies Límite: Aged / Child / Humans País/Región como asunto: Asia Idioma: En Revista: Int J Biometeorol Año: 2020 Tipo del documento: Article País de afiliación: Vietnam