Challenges with disaster mortality data and measuring progress towards the implementation of the Sendai Framework
Green, Helen ; Lysaght, Oliver ; Saulnier, Dell LU
; Blanchard, Kevin
; Humphrey, Alistair
; Fakhruddin, Bapon
and Murray, Virginia
(2019)
In International Journal of Disaster Risk Science
10.
p.449-461
- Abstract
- Disasters exact a heavy toll globally. However, the degree to which we can accurately quantify their impact, in particular mortality, remains challenging. It is critical to ensure that disaster data reliably reflects the scale, type, and distribution of disaster impacts given the role of data in: (1) risk assessments; (2) developing disaster risk management programs; (3) determining the resources for response to emergencies; (4) the types of action undertaken in planning for prevention and preparedness; and (5) identifying research gaps. The Sendai Framework for Disaster Risk Reduction 2015–2030s seven global disaster-impact reduction targets represent the first international attempt to systematically measure the effectiveness of... (More)
- Disasters exact a heavy toll globally. However, the degree to which we can accurately quantify their impact, in particular mortality, remains challenging. It is critical to ensure that disaster data reliably reflects the scale, type, and distribution of disaster impacts given the role of data in: (1) risk assessments; (2) developing disaster risk management programs; (3) determining the resources for response to emergencies; (4) the types of action undertaken in planning for prevention and preparedness; and (5) identifying research gaps. The Sendai Framework for Disaster Risk Reduction 2015–2030s seven global disaster-impact reduction targets represent the first international attempt to systematically measure the effectiveness of disaster-impact reduction as a means of better informing policy with evidence. Target A of the Sendai Framework aims to “substantially reduce global disaster mortality by 2030, aiming to lower the average per 100,000 global mortality rate in the decade 2020–2030 compared to the period 2005–2015.” This article provides an overview of the complexities associated with defining, reporting, and interpreting disaster mortality data used for gauging success in meeting Target A, acknowledging different challenges for different types of hazard events and subsequent disasters. It concludes with suggestions of how to address these challenges to inform the public health utility of monitoring through the Sendai Framework (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/e8af657e-e4b0-40b6-8659-9333925a1b0a
- author
- Green, Helen
; Lysaght, Oliver
; Saulnier, Dell
LU
; Blanchard, Kevin
; Humphrey, Alistair
; Fakhruddin, Bapon
and Murray, Virginia
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- in
- International Journal of Disaster Risk Science
- volume
- 10
- pages
- 449 - 461
- publisher
- Beijing Normal University Press
- external identifiers
-
- scopus:85074689866
- ISSN
- 2095-0055
- DOI
- 10.1007/s13753-019-00237-x
- language
- English
- LU publication?
- no
- id
- e8af657e-e4b0-40b6-8659-9333925a1b0a
- date added to LUP
- 2022-04-07 14:06:23
- date last changed
- 2025-04-04 14:24:01
@article{e8af657e-e4b0-40b6-8659-9333925a1b0a,
abstract = {{Disasters exact a heavy toll globally. However, the degree to which we can accurately quantify their impact, in particular mortality, remains challenging. It is critical to ensure that disaster data reliably reflects the scale, type, and distribution of disaster impacts given the role of data in: (1) risk assessments; (2) developing disaster risk management programs; (3) determining the resources for response to emergencies; (4) the types of action undertaken in planning for prevention and preparedness; and (5) identifying research gaps. The Sendai Framework for Disaster Risk Reduction 2015–2030s seven global disaster-impact reduction targets represent the first international attempt to systematically measure the effectiveness of disaster-impact reduction as a means of better informing policy with evidence. Target A of the Sendai Framework aims to “substantially reduce global disaster mortality by 2030, aiming to lower the average per 100,000 global mortality rate in the decade 2020–2030 compared to the period 2005–2015.” This article provides an overview of the complexities associated with defining, reporting, and interpreting disaster mortality data used for gauging success in meeting Target A, acknowledging different challenges for different types of hazard events and subsequent disasters. It concludes with suggestions of how to address these challenges to inform the public health utility of monitoring through the Sendai Framework}},
author = {{Green, Helen and Lysaght, Oliver and Saulnier, Dell and Blanchard, Kevin and Humphrey, Alistair and Fakhruddin, Bapon and Murray, Virginia}},
issn = {{2095-0055}},
language = {{eng}},
pages = {{449--461}},
publisher = {{Beijing Normal University Press}},
series = {{International Journal of Disaster Risk Science}},
title = {{Challenges with disaster mortality data and measuring progress towards the implementation of the Sendai Framework}},
url = {{http://dx.doi.org/10.1007/s13753-019-00237-x}},
doi = {{10.1007/s13753-019-00237-x}},
volume = {{10}},
year = {{2019}},
}