global information management system - oecd · zdata dissemination system: summer 2009 zui and...

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


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.


Total count: 7999

What do users want from WHO?


Total count: 5598

What improvements are needed?


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


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 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 – 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 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 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: 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.)


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


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


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)


SAMPLE GIMSVISUALIZATIONS AND OUTPUTS


What is in GHO: Foundation of GIMS


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…


Dynamic Data Exchange

GIMS

Data flow and validation

Primary data source/

Primary data warehouse

Data loaded onto remote server

Pull or Hybrid


Others…

Diseases(BoD)

Other MDG

Financial Flows

Climate Change

GIMS

GHO

GHO

GHO

Architecture of GIMS


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


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!


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%


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?


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 (%)


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


Now Imagine……This is done in a cost-effective

dynamic and interactive manner online

How GIMS could change the way we work?

GIMS!


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


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


Thank you!

global information management system - oecd · zdata dissemination system: summer 2009 zui and...

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