Presentation at 3rd GRF One Health Summit 2015 Session Plenary I: One Health and the Sendai Framework for Disaster Risk Reduction

1. GLOBAL CENTRE FOR DISASTER
STATISTICS
Yuichi Ono
Director, Global Centre for Disaster Statistics
(Prof. and Assistant Director of the International Institute of Disaster Science)
Tohoku University
Sendai, Japan

2. - A new joint initiative of
UNDP and IRIDeS
to monitor
Sendai Framework for Disaster Risk Reduction
and
help countries strengthen and develop
national disaster damage and loss data system

3. 3
Policy making in disaster risk
reduction without knowing what is
going on in the country
is

4. One important piece of the
puzzle is
disaster damage and loss
data/records

5. 5
Larger-scale disasters are well reported while smaller-
scale ones are not
Fact:
Small-scale disasters
Large-scale disasters
Middle-scale disasters
Insured Losses
EM-Dat
Insurance: Developed countries
100 affected or 10 deaths
Missing data!

6. 6
Who should collect the data?
FACT: Not many governments do so

7. 7
Who should own the data?
FACT: Not many governments do so

8. Fumihiko Imamura
Director, IRIDeS
Tohoku University
Susumu Satomi
Rector, Tohoku
University
Helen Clark
Administrator
UNDP
Emiko Okuyama
Mayor
Sendai City
Executive Secretary
ESCAP
Shamshad Aktar
Jo Scheuer
Director
Climate Change and DRR
UNDP
Press Conference on the launch of the Global Centre for Disaster Statistics
15 March 2015

9. UNSG to give a congratulatory remarks on the launch of the Centre
15 March 2015, during the World Conference on
Disaster Risk Reduction in Sendai, Japan
I am especially grateful for Tohoku
University’s collaboration with a number of
United Nations agencies on a new Global
Centre for Disaster Statistics.
I count on this valuable Centre to help
monitor progress on the new global
disaster risk reduction framework. It can
also keep track of how we are doing on the
future sustainable development goals.

10. Global Centre for Disaster Statistics
UNDP
Storage of data
SFDRR and MDGs monitoring
Archive
Analysis
Global Centre for Disaster
Statistics
Assisting countries for
developing national
disaster loss database
Countries
Build national disaster
loss database for generating
Better DRR policy
UNISDR
For monitoring the SDGs and
Sendai Framework for
Disaster Risk Reduction
Standardization on disaster
statistics / data
ESCAP
 Asia and Pacific Regional Driver
JICA
Data
Support
Supporting
Data
Information
ADRC
ICHARM IRP
Global Database
Partners
UN
Tohoku
University, IRIDeS

11. GCDS will help countries monitor and evaluate the
progress in the implementation of the SFDRR and
Sustainable Development Goals (SDGs) by supporting
establishment of a country-level national disaster loss
database.
UNDP and IRIDeS will support capacity development of
countries by providing technical and policy advice as well
as training in cooperation with potential partner agencies
based on the needs of countries
The Outline of GCDS

12. UNDP has been supporting the
development of national disaster
loss databases and currently
disaster loss data is available for
more than 82 countries.
Utilizing UNDP’s knowledge
and experience, a new global
database will be established at
the GCDS by integrating
disaster loss data from countries.
Iran
Nepal
Bhutan
Thailand
Laos
CambodiaSri Lanka
Maldives
Indonesia
Timor-Leste
Philippines
Brunei
Myanmar Vietnam
India (in some state)
Pakistan
Current situation of the development of
national disaster loss databases in Asia
A new global database can serve as a platform for international
data sharing in a standardized format and application, which will
make it easier for countries to monitor progress in the SFDRR
implementation and to utilize disaster loss data for decision
making.

13. GCDS will support the UNISDR in monitoring and evaluation of
the progress in implementing the SFDRR particularly in
achieving outcome targets
We will support the monitoring by;
(1) collecting and integrating
disaster loss data with a
standardized format developed
based on indicators and
standards to be agreed (ongoing
process led by UNISDR)
(2) providing inputs to the Global
Assessment Reports and other
advocacy materials on disaster
risk reduction.

14. Database; Under development

15. 15
Adopted targets in the Sendai Framework for Action
18. To support the assessment of global progress in achieving the outcome and goal of this framework, seven
global targets have been agreed. These targets will be measured at the global level and will be complemented
by work to develop appropriate indicators.
National targets and indicators will contribute to the achievement of the outcome and goal of this framework.
The seven global targets are:
(a) Substantially reduce global disaster mortality by 2030, aiming to lower average per 100,000 global
mortality between 2020-2030 compared to 2005-2015.
(b) Substantially reduce the number of affected people globally by 2030, aiming to lower the average global
figure per 100,000 between 2020-2030 compared to 2005-2015.
(c) Reduce direct disaster economic loss in relation to global gross domestic product (GDP) by 2030.
(d) Substantially reduce disaster damage to critical infrastructure and disruption of basic services, among them
health and educational facilities, including through developing their resilience by 2030.
(e) Substantially increase the number of countries with national and local disaster risk reduction strategies by
2020.
(f) Substantially enhance international cooperation to developing countries through adequate and sustainable
support to complement their national actions for implementation of this framework by 2030.
(g) Substantially increase the availability of and access to multi-hazard early warning systems and disaster
risk information and assessments to the people by 2030.

16. SFDRR targets Contribution of the
database
①Number of death ✓ Yes
②Number of affected people ✓ Yes
③Direct disaster economic loss ✓ Yes
④Disaster damage to critical infrastructure
△ Partly Yes
⑤Number of countries with DRR strategies × No
⑥International cooperation × No
⑦Access to multi-hazard early warning systems and
disaster risk information and assessments
× No

17. GCDS will provide support of scientific analyses which
enable countries to utilize disaster loss data for
governance and decision-making. The support can
include:
(1) macro-economic analyses to evaluate the effect of pre-
disaster investment
(2) analyses based on data disaggregated by social,
demographic, and economic characteristics.
The exact areas of the support will be decided based on
consultation with countries.

18. DR2AD model, developed by JICA, to quantitatively estimate the
effect of pre-disaster investment to economic development.

19. Health-related Issues
SFDRR Target (d):
‘Substantially reduce disaster damage to critical
infrastructure and disruption of basic services, among
them health and educational facilities, including through
developing their resilience by 2030.’
Crucial to identify causes of disaster deaths and injuries
Do we have data?
Maybe as patient records at hospital
Assembled?
Used for policy making?
Then understood by public?

20. Example: Tornado disasters
Causes of deaths and injuries: flying objects hit people
or people being flying objects, things collapse on people,
in particular causing head injuries and multi-cut injuries
Safety measures are to be developed based on good
data
- how people should behave during tornadoes
- tornado drills, and awareness/education
- how medical service people should prepare for
treatment
In Bangladesh, iron-corrugated tin sheets as building
materials in recent decades put tornado risks higher
- introducing tornado shelters, etc.

22. Hospitals and health facilities should be fortresses to
save disaster victims,
but
if not well prepared to disasters, things will be worsen

23. A case soon after the 13 May 1996 Tornadoes in Bangladesh:
- Local hospitals lost power for days and weeks
- Patients could not reach to health facilities soon due to lost means of
transportation
- A few lucky ones were sent to Dhaka by helicopters
- But most patients flooded to local hospitals did not receive adequate
treatment
- Surgical operations halted in critical hours and days
- Not enough space in hospitals and most patients were on the floor
- Sanitary conditions at hospital were not good

24. Some good solutions could be generated based
on stock of sound evidence (data and statistics)
- Buildings of health facilities need to be
disaster-resilient
- Emergency information management system
among health facilities
- A designated coordinator’s role is crucial

25. Value of the Centre
• Data Based on Official Sources
• Provide incentives to data entry efforts
Example: See impacts of entering data
by themselves
DB of the countryCountry
A
Global Centre for
Disaster Statistics
Data entry by local or national Gov. Officers
Global Database
B
C

26. Semi-automatically, officers could complete local/national White Book on
Disaster Risk Reduction
Annual Report
Disaster Worst 5
1.Earthquake xx,Feb Death: x,x00
2.Drought xx,Aug Death: xx0
3.Flood xx,Oct Death: x
Economic loss: xxmillion US$
4.・・・・
5.・・・・
Disaster in 2015
Comments
PhotoPhoto
Poverty and Disaster Progress on SDGs & SFDRR
SDGs
Goal X
Target A
OO% achieved
Goal Y
Target B
Achieved
Target C
Bellow Target
SFDRR
Goal 1
X,XX00 person
Bellow target
Goal 2
XX,X00 person
Achieved
Goal 3
X,XXX,X00 US$
Bellow Target
According to the database, ・・・・・・・・・・
・・・・・・・ is needed to by developed.