Disaster risk reduction: why do we need accurate disaster mortality data to strengthen policy and practice?
(2019) In Disaster Prevention and Management 28(6). p.53-838- Abstract
- Purpose
The Sendai Framework for Disaster Risk Reduction 2015–2030 calls for a reduction in disaster mortality, yet measuring mortality remains a challenge due to varying definitions of disaster mortality, the quality, availability and diversity of data sources, generating mortality estimates, and how mortality data are interpreted.
Design/methodology/approach
This paper uses five case studies to provide details around some of the complexities involved with measuring disaster mortality and to demonstrate the clear need for accurate disaster mortality data.
Findings
The findings highlight the benefits of combining multiple data sources for accurate mortality estimates, access to interoperable and readily available... (More) - Purpose
The Sendai Framework for Disaster Risk Reduction 2015–2030 calls for a reduction in disaster mortality, yet measuring mortality remains a challenge due to varying definitions of disaster mortality, the quality, availability and diversity of data sources, generating mortality estimates, and how mortality data are interpreted.
Design/methodology/approach
This paper uses five case studies to provide details around some of the complexities involved with measuring disaster mortality and to demonstrate the clear need for accurate disaster mortality data.
Findings
The findings highlight the benefits of combining multiple data sources for accurate mortality estimates, access to interoperable and readily available global, national, regional and local data sets, and creating standardized definitions for direct and indirect mortality for easier attribution of causes of death.
Originality/value
Countries should find a method of measuring mortality that works for them and their resources, and for the hazards they face. Combining accurate mortality data and estimates and leadership at all levels can inform policy and actions to reduce disaster mortality, and ultimately strengthen disaster risk reduction in countries for all citizens. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/11565017-1865-4e5d-9564-2930d5490ded
- author
- Saulnier, Dell LU ; Green, Helen ; Ismail, Rohaida ; Chhorvann, Chhea ; Bin Mohamed, Norlen ; Waite, Thomas D and Murray, Virginia
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- in
- Disaster Prevention and Management
- volume
- 28
- issue
- 6
- pages
- 53 - 838
- publisher
- Emerald Group Publishing Limited
- external identifiers
-
- scopus:85074619570
- ISSN
- 0965-3562
- DOI
- 10.1108/DPM-09-2019-0296
- language
- English
- LU publication?
- no
- id
- 11565017-1865-4e5d-9564-2930d5490ded
- date added to LUP
- 2022-04-07 14:01:31
- date last changed
- 2024-02-28 12:25:12
@misc{11565017-1865-4e5d-9564-2930d5490ded, abstract = {{Purpose<br/>The Sendai Framework for Disaster Risk Reduction 2015–2030 calls for a reduction in disaster mortality, yet measuring mortality remains a challenge due to varying definitions of disaster mortality, the quality, availability and diversity of data sources, generating mortality estimates, and how mortality data are interpreted.<br/>Design/methodology/approach<br/>This paper uses five case studies to provide details around some of the complexities involved with measuring disaster mortality and to demonstrate the clear need for accurate disaster mortality data.<br/>Findings<br/>The findings highlight the benefits of combining multiple data sources for accurate mortality estimates, access to interoperable and readily available global, national, regional and local data sets, and creating standardized definitions for direct and indirect mortality for easier attribution of causes of death.<br/>Originality/value<br/>Countries should find a method of measuring mortality that works for them and their resources, and for the hazards they face. Combining accurate mortality data and estimates and leadership at all levels can inform policy and actions to reduce disaster mortality, and ultimately strengthen disaster risk reduction in countries for all citizens.}}, author = {{Saulnier, Dell and Green, Helen and Ismail, Rohaida and Chhorvann, Chhea and Bin Mohamed, Norlen and Waite, Thomas D and Murray, Virginia}}, issn = {{0965-3562}}, language = {{eng}}, number = {{6}}, pages = {{53--838}}, publisher = {{Emerald Group Publishing Limited}}, series = {{Disaster Prevention and Management}}, title = {{Disaster risk reduction: why do we need accurate disaster mortality data to strengthen policy and practice?}}, url = {{http://dx.doi.org/10.1108/DPM-09-2019-0296}}, doi = {{10.1108/DPM-09-2019-0296}}, volume = {{28}}, year = {{2019}}, }