GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 20091 |
GlobalInformation Management System on Sanitation and Drinking-water
(GIMS)
Rifat Hossain
Public Health and Environment
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 20092 |
Context
2.5 billion people without improved sanitation, around 900 million people without improved drinking-water
Diarrhoeal disease is the 2nd leading cause of death from infectious diseases, even before HIV/AIDS. Most of them are children.
Such deaths could be prevented, with good evidence based policies
It is difficult to make evidence-based policy decisions in the sanitation and drinking-water sectors:
– Difficult to relate improvements in service levels to the drivers of the sector.– Absent links with other determinants for the progress of societies:
• Sustainable and Healthy environment, Disease prevention, Poverty reduction etc.
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 20093 |
Total count: 7999
What do users want from WHO?
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 20094 |
Total count: 5598
What improvements are needed?
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 20095 |
Why GIMS
To strengthen the evidence base– Robust access estimates (Nigeria example) – Links between Sanitation, drinking-water and health (disease
burden etc.)– Links between WatSan and other environmental issues
To enhance the effective policy and decision-making
Build national capacity through – Cost-effective dynamic online data reconciliation (Nigeria…)– An integrated country/regional coordination mechanism and its
interactive and dynamic support to populate GIMS
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 20096 |
What is GIMS
A comprehensive data management system– Data collection– Data analysis– Data dissemination
A dynamic data linking system
Data to be shared with interested parties
Dynamic, web-enabled (Web2.0)– As opposed to static Web1.0 architecture
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 20097 |
GIMS for data collection
A dynamic data collection mechanism– Data is owned by the country
• Data directly fed into the system (web-enabled)• Data fed into the system through form feed (excel to XML)
– Data collection is participatory• Country reps feed data (designated officials with access)
– Survey/Census data (user's perspective)
– Data from administrative sources (provider's perspective)
• Online consultation (wiki environment) and reconciliation• Real-time updating
– Dynamic data transfer using SDMX
Geo-spatial imaging through GIS functionalities (more objective?)
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 20098 |
GIMS – real time monitoring/validation
Data collection from earth observation satellites (10-35m2
resolution).– Water quality data– Hydrological data– Land use– Risk assessment (catchment)– Risk assessment (water-related disease)– Trends
Potential use of high resolution images (2m2 resolution)– Validation of coverage data– Validation of access data
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 20099 |
GIMS for data analysis
A real-time data analysis tool– Data is ready to be analyzed once fed and validated
A customizable data analysis tool– Multi-layered data
• Predefined and customized Country profiles• More in-depth analyses by users possible
Global and other regional reports in just a few steps
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200910 |
GIMS for data dissemination
A state-of-the-art data dissemination system
– Analyses data displayed through
• Customizable charts, graphs, maps (with appropriate links)• Other dynamic data dissemination tools
– GapMinder graphs, Google maps etc.
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200911 |
GIMS: to reduce burden on data collection
Integrated into Global Health Observatory– A WHO data management portal
Connectivity to country data management tool– DevInfo automatic connectivity
Other data management system (WSP, World Bank, OECD etc.)
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200912 |
What is Global Health Observatory?
Sharing WHO's data
Reducing fragmentation in the way WHO data are disseminated
Responding to user needs
Improving the quality of data we disseminate
Positioning WHO as authoritative source of internationally comparable health statistics
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200914 |
OH SDMXRegistry
Region A2
Region A1
Region A3
Region B2Region
B1Region
B3Region
C2Region C1
Region C3
National
Internet
Internet Internet Internet
International
Information flow between data source to GIMS (1)
GIMS
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200915 |
OH SDMXRegistry
Region A2
Region A1
Region A3
Region B2Region
B1Region
B3Region
C2Region C1
Region C3
National
InternetInternational
(GIMS)
Information flow between data source to GIMS (2)
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200916 |
SAMPLE GIMSVISUALIZATIONS AND OUTPUTS
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200917 |
What is in GHO: Foundation of GIMS
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200918 |
What GIMS Dynamic country profile could look like…
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200919 | Health Statistics & Informatics
It is meaningless without the metadata…
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200920 |
Dynamic Data Exchange
GIMS
Data flow and validation
Primary data source/
Primary data warehouse
Data loaded onto remote server
Pull or Hybrid
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200921 |
Others…
Diseases(BoD)
Other MDG
Financial Flows
Climate Change
GIMS
GHO
GHO
GHO
Architecture of GIMS
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200922 |
DHS 199911 Piped Into Residence/Yard/Plot12 Public Tap21 Well in Residence/Yard/Plot22 Public Well31 Spring 32 Stream33 Pond/Lake 34 Dam 41 Rainwater 51 Tanker (Truck)
52 Tanker Vendor61 Bottled Water71 Borehole96 Other
CLFS 20001 Tap/pipe Inside house2 Tap/Pipe Outside House3 Tube/well4 Manual Well Protected5. Handpump 6.Ponds/Stream/River/Rainwater
DHS 200311 Piped Into Dwelling12 Piped Into Yard/Plot13 Public Tap21 Open Well In Dwelling22 Open Well In Yard/Plot23 Open Public Well31 Protected Well/Borehole In Dwelling32 Protected Well/Borehole In Yard/Plot33 Protected Public Well/Borehole41 Spring42 River/Stream43 Pond/Lake44 Dam51 Rainwater61 Tanker Truck71 Bottled Water96 Other
NLSS 20041 Pipe borne water treated2 Pipe borne water untreated3 Borehole/hand pump4 Protected Well5 Unprotected
CWIQ 20061 Pipe borne water treated2 Pipe borne water untreated3 Bore hole/hand pump4 Protected well5 Unprotected well6 Rain water7 River, lake or pond8 Vendor, truck9 Other
GHS 20061 Pipe borne water treated2 Pipe borne water untreated3 Borehole/hand pump4 Well/Spring Protected5 Well/Spring Unprotected6 Rain Water7 Streams/Pond/River8 Tanker/Truck/Vendor9 Other
MICS 200711 Piped into dwelling 12 Piped into yard or plot 13 Public tap/standpipe21 Tubewell/borehole31 Dug well/Protected well 32 Unprotected well 41 Protected spring42 Unprotected spring51 Rainwater collection61 Tanker‐truck71 Cart with small tank/drum81 Surface water (river, stream, dam, lake, pond, canal, irrigation channel) 91 Bottled water 96 Other (specify)
2006 Census1 Pipe borne inside dwelling2 Pipe borne outside dwelling3 Tanker Supply/Water Vendor’4 Well5 Bore-hole6 Rain water7 River/Stream/Spring8 Dugout/Pond/Dam/pool9 Other
Sector Baseline 2008Protecteda. Household Connectionsb. Boreholes with hand pumpc. Motorized boreholed. Protected Dug welle. Public Standpipef. Rain water harvestingg. Protected SpringUnprotecteda. Unprotected Traditional hand dug wellsb. Unprotected wellsc. Vendor provided waterd. Bottled/sachets watere. Tanker truck provided waterf. Streamsg. Riverh. Pondi. Broken pipes
GIM
S fo
r int
erac
tive
data
reco
ncili
atio
n
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200923 |
DHS 90
DHS 99
DHS 03
MICS 07
CLFS 2000
NLSS 04
GHS 06
CWIQ 06
BL 08
20
30
40
50
1980 1985 1990 1995 2000 2005 2010% C
over
age
Year
Nigeria: Rural access to improved drinking water sources
New Trend
Old trend
New trend
Old Trend
GIMS…for a more robust estimate!
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200924 |
Old versus New Estimates forNigeria
Water Rural Urban
Old New Old New
1990 34% 31% 80% 80%
2006 30% 40% 65% 74%
San Rural Urban
Old New Old New
1990 22% 26% 33% 28%
2006 25% 33% 35% 32%
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200925 |
Sub-Saharan Africa water
1990 coverage (%)
2006 Coverage (%)
Projected coverage (%)
Target for 2015 (%)
Proximity to target (%)
On/off-track
JMP 2008 estimate
49 58 63 75 12 Off-target
New estimate (unofficial)
48 60 67 74 7
Sub‐Saharan Africa no‐longer off target?
Is it On-target?
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200926 |
Better Water and Sanitation Coverage = Lower Disease Burden?
0.001
0.010
0.100
1.000
10.000
100.000
1990 2006
Water (% coverage,JMP revised )
Sanitation (%coverage, JMPrevised)Cholera (%)
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200927 |
Scenario 2020: Climate Change:Resilience to increased rainfall
Adaptability
Vulnerability
High Medium Low
High
Medium
Low Utility managed piped water
Protected wells (shallow)
Protected wells (deep) Protected springs
Rainwater collection
Improved pit latrines
Septic tanks
Sewers
Community managed piped water
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200928 |
Now Imagine……This is done in a cost-effective
dynamic and interactive manner online
How GIMS could change the way we work?
GIMS!
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200929 |
Therefore…
GIMS would link– WatSan data to other determinants of sustainable environment
and better health
GIMS would enable:– Transparent flow of data– Dynamic data analyses– Effective data dissemination
GIMS would create an environment for: – Inter-agency collaboration within country– Dynamic data reconciliation
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200930 |
Time line
Data dissemination system: summer 2009
UI and customizable analyses tools being developed
Data collection system– Test separately– Integrated into GHO (WHO FluID model)
Full system operational: beginning of 2010
Piloting of GIMS in 2010!
2011 GIS connectivity development
GIMS | INNOVATIVE APPROACHES TO TURN STATISTICS INTO KNOWLEDGE, 15-16 July 200931 |
Thank you!