Predicting social and health vulnerability to floods in Bangladesh
<p>Floods are the most common and damaging natural disaster in Bangladesh, and the effects of floods on public health have increased significantly in recent decades, particularly among lower socioeconomic populations. Assessments of social vulnerability on flood-induced health outcomes typical...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-06-01
|
Series: | Natural Hazards and Earth System Sciences |
Online Access: | https://nhess.copernicus.org/articles/21/1807/2021/nhess-21-1807-2021.pdf |
_version_ | 1818664403528056832 |
---|---|
author | D. Lee D. Lee H. Ahmadul J. Patz P. Block |
author_facet | D. Lee D. Lee H. Ahmadul J. Patz P. Block |
author_sort | D. Lee |
collection | DOAJ |
description | <p>Floods are the most common and damaging natural disaster in Bangladesh, and the effects of floods on public health have increased significantly in recent decades, particularly among lower socioeconomic populations. Assessments of social vulnerability on flood-induced health outcomes typically focus on local to regional scales; a notable gap remains in comprehensive, large-scale assessments that may foster disaster management practices. In this study, socioeconomic, health, and coping capacity vulnerability and composite social-health vulnerability are assessed using both equal-weight and principal-component approaches using 26 indicators across Bangladesh. Results indicate that vulnerable zones exist in the northwest riverine areas, northeast floodplains, and southwest region, potentially affecting 42 million people (26 % of the total population). Subsequently, the vulnerability measures are linked to flood forecast and satellite inundation information to evaluate their potential for predicting actual flood impact indices (distress, damage, disruption, and health) based on the immense August 2017 flood event. Overall, the forecast-based equally weighted vulnerability measures perform best. Specifically, socioeconomic and coping capacity vulnerability measures strongly align with the distress, disruption, and health impact records observed. Additionally, the forecast-based composite social-health vulnerability index also correlates well with the impact indices, illustrating its utility in identifying predominantly vulnerable regions. These findings suggest the benefits and practicality of this approach to assess both thematic and comprehensive spatial vulnerabilities, with the potential to support targeted and coordinated public disaster management and health practices.</p> |
first_indexed | 2024-12-17T05:32:11Z |
format | Article |
id | doaj.art-5f724b8761ca4d2892a283b581f97845 |
institution | Directory Open Access Journal |
issn | 1561-8633 1684-9981 |
language | English |
last_indexed | 2024-12-17T05:32:11Z |
publishDate | 2021-06-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Natural Hazards and Earth System Sciences |
spelling | doaj.art-5f724b8761ca4d2892a283b581f978452022-12-21T22:01:42ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812021-06-01211807182310.5194/nhess-21-1807-2021Predicting social and health vulnerability to floods in BangladeshD. Lee0D. Lee1H. Ahmadul2J. Patz3P. Block4Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Wisconsin, USAClimate Hazards Center, Department of Geography, University of California, Santa Barbara, California, USARed Cross Red Crescent Climate Centre, the Hague, the NetherlandsGlobal Health Institute, Nelson Institute Center for Sustainability and the Global Environment, and Department of Population Health Sciences, University of Wisconsin-Madison, Wisconsin, USADepartment of Civil and Environmental Engineering, University of Wisconsin-Madison, Wisconsin, USA<p>Floods are the most common and damaging natural disaster in Bangladesh, and the effects of floods on public health have increased significantly in recent decades, particularly among lower socioeconomic populations. Assessments of social vulnerability on flood-induced health outcomes typically focus on local to regional scales; a notable gap remains in comprehensive, large-scale assessments that may foster disaster management practices. In this study, socioeconomic, health, and coping capacity vulnerability and composite social-health vulnerability are assessed using both equal-weight and principal-component approaches using 26 indicators across Bangladesh. Results indicate that vulnerable zones exist in the northwest riverine areas, northeast floodplains, and southwest region, potentially affecting 42 million people (26 % of the total population). Subsequently, the vulnerability measures are linked to flood forecast and satellite inundation information to evaluate their potential for predicting actual flood impact indices (distress, damage, disruption, and health) based on the immense August 2017 flood event. Overall, the forecast-based equally weighted vulnerability measures perform best. Specifically, socioeconomic and coping capacity vulnerability measures strongly align with the distress, disruption, and health impact records observed. Additionally, the forecast-based composite social-health vulnerability index also correlates well with the impact indices, illustrating its utility in identifying predominantly vulnerable regions. These findings suggest the benefits and practicality of this approach to assess both thematic and comprehensive spatial vulnerabilities, with the potential to support targeted and coordinated public disaster management and health practices.</p>https://nhess.copernicus.org/articles/21/1807/2021/nhess-21-1807-2021.pdf |
spellingShingle | D. Lee D. Lee H. Ahmadul J. Patz P. Block Predicting social and health vulnerability to floods in Bangladesh Natural Hazards and Earth System Sciences |
title | Predicting social and health vulnerability to floods in Bangladesh |
title_full | Predicting social and health vulnerability to floods in Bangladesh |
title_fullStr | Predicting social and health vulnerability to floods in Bangladesh |
title_full_unstemmed | Predicting social and health vulnerability to floods in Bangladesh |
title_short | Predicting social and health vulnerability to floods in Bangladesh |
title_sort | predicting social and health vulnerability to floods in bangladesh |
url | https://nhess.copernicus.org/articles/21/1807/2021/nhess-21-1807-2021.pdf |
work_keys_str_mv | AT dlee predictingsocialandhealthvulnerabilitytofloodsinbangladesh AT dlee predictingsocialandhealthvulnerabilitytofloodsinbangladesh AT hahmadul predictingsocialandhealthvulnerabilitytofloodsinbangladesh AT jpatz predictingsocialandhealthvulnerabilitytofloodsinbangladesh AT pblock predictingsocialandhealthvulnerabilitytofloodsinbangladesh |