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

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Final revised paper (published on 14 Jun 2021)
Supplement to the final revised paper
Preprint (discussion started on 01 Dec 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'Manuscript revision', Anonymous Referee #1, 27 Dec 2020
- AC1: 'Response to anonymous reviewer 1', Donghoon Lee, 05 Jan 2021
RC2: 'manuscript revision', Anonymous Referee #2, 20 Apr 2021
- AC2: 'Response to anonymous reviewer 2', Donghoon Lee, 28 Apr 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish as is (06 May 2021) by Olga Petrucci

AR by Donghoon Lee on behalf of the Authors (06 May 2021) Author's response Manuscript

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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.