Predicting social and health vulnerability to floods in Bangladesh

Lee, Donghoon; Ahmadul, Hassan; Patz, Jonathan; Block, Paul

doi:https://doi.org/10.5194/nhess-21-1807-2021

Articles | Volume 21, issue 6

https://doi.org/10.5194/nhess-21-1807-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-21-1807-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 6

Research article

|

14 Jun 2021

Research article |

| 14 Jun 2021

Predicting social and health vulnerability to floods in Bangladesh

Donghoon Lee, Hassan Ahmadul, Jonathan Patz, and Paul Block

Supplement

https://doi.org/10.5194/nhess-21-1807-2021-supplement

Data sets

Supplementary data to "Predicting social and health vulnerability to floods in Bangladesh'' (Version 1.0) D. Lee, H. Ahmadul, J. Patz, and P. Block https://doi.org/10.5281/zenodo.4718085

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Short summary

This article assesses the thematic and composite social and health vulnerability of Bangladesh to floods. Tailored vulnerability, weighted by flood forecast and satellite inundation, can be used to predict the massive impacts of the August 2017 flood event. This approach has several advantages and practical implications, including the potential to promote targeted and coordinated disaster management and health practices.