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GLOBAL CENTRE FOR DISASTER
STATISTICS
Yuichi Ono
Director, Global Centre for Disaster Statistics
(Prof. and Assistant Dire...
- A new joint initiative of
UNDP and IRIDeS
to monitor
Sendai Framework for Disaster Risk Reduction
and
help countries str...
3
Policy making in disaster risk
reduction without knowing what is
going on in the country
is
One important piece of the
puzzle is
disaster damage and loss
data/records
5
Larger-scale disasters are well reported while smaller-
scale ones are not
Fact:
Small-scale disasters
Large-scale disas...
6
Who should collect the data?
FACT: Not many governments do so
7
Who should own the data?
FACT: Not many governments do so
Fumihiko Imamura
Director, IRIDeS
Tohoku University
Susumu Satomi
Rector, Tohoku
University
Helen Clark
Administrator
UNDP...
UNSG to give a congratulatory remarks on the launch of the Centre
15 March 2015, during the World Conference on
Disaster R...
Global Centre for Disaster Statistics
UNDP
Storage of data
SFDRR and MDGs monitoring
Archive
Analysis
Global Centre fo...
GCDS will help countries monitor and evaluate the
progress in the implementation of the SFDRR and
Sustainable Development ...
UNDP has been supporting the
development of national disaster
loss databases and currently
disaster loss data is available...
GCDS will support the UNISDR in monitoring and evaluation of
the progress in implementing the SFDRR particularly in
achiev...
Database; Under development
15
Adopted targets in the Sendai Framework for Action
18. To support the assessment of global progress in achieving the ou...
SFDRR targets Contribution of the
database
①Number of death ✓ Yes
②Number of affected people ✓ Yes
③Direct disaster econom...
GCDS will provide support of scientific analyses which
enable countries to utilize disaster loss data for
governance and d...
DR2AD model, developed by JICA, to quantitatively estimate the
effect of pre-disaster investment to economic development.
Health-related Issues
SFDRR Target (d):
‘Substantially reduce disaster damage to critical
infrastructure and disruption of...
Example: Tornado disasters
Causes of deaths and injuries: flying objects hit people
or people being flying objects, things...
Hospitals and health facilities should be fortresses to
save disaster victims,
but
if not well prepared to disasters, thin...
A case soon after the 13 May 1996 Tornadoes in Bangladesh:
- Local hospitals lost power for days and weeks
- Patients coul...
Some good solutions could be generated based
on stock of sound evidence (data and statistics)
- Buildings of health facili...
Value of the Centre
• Data Based on Official Sources
• Provide incentives to data entry efforts
Example: See impacts of en...
Semi-automatically, officers could complete local/national White Book on
Disaster Risk Reduction
Annual Report
Disaster Wo...
Global Centre for Disaster Statistics  Yuichi ONO
Global Centre for Disaster Statistics  Yuichi ONO
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Global Centre for Disaster Statistics Yuichi ONO

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

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Global Centre for Disaster Statistics Yuichi ONO

  1. 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. 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. 3 Policy making in disaster risk reduction without knowing what is going on in the country is
  4. 4. One important piece of the puzzle is disaster damage and loss data/records
  5. 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. 6 Who should collect the data? FACT: Not many governments do so
  7. 7. 7 Who should own the data? FACT: Not many governments do so
  8. 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. 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. 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. 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. 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. 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. 14. Database; Under development
  15. 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. 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. 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. 18. DR2AD model, developed by JICA, to quantitatively estimate the effect of pre-disaster investment to economic development.
  19. 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. 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.
  21. 21. Hospitals and health facilities should be fortresses to save disaster victims, but if not well prepared to disasters, things will be worsen
  22. 22. 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
  23. 23. 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
  24. 24. 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
  25. 25. 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.

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