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© EO2HEAVEN Consortium
EO2HEAVEN
Earth Observation and ENVironmental modelling for the mitigation of HEAlth risks
Overview of the EO2HEAVEN contribution to GEOSSGEO IX, EC Side Event, Foz do Iguacu, November 21, 2012Kym Watson (Fraunhofer IOSB)
FP7 244100, 2/2010 – 5/2013
EC FP7 Project EO2HEAVEN studies impact of environmental factors on health
Water borne disease cholera
Ima
ge
: S
. W
oo
db
orn
e,
CS
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Air Quality and/or Aeroallergens
Image:
UK
ZN Durban,
Saxony
Uganda
HEALTH DATA
EARTH OBSERVATIONS
WEB-ENABLED PROCESSING,
MODELLING AND FUSION
RISK MAPSALERTING TOOLS
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Multi-Disciplinary Approach
Makerere University College of Health Sciences
• Health • Epidemiology• Microbiology• Geo-informatics, ICT• Modelling and Statistics
Case Study I: Dresden / Saxony, Germany
• Environmental effects on allergies and cardiovascular diseases
• Environmental parameters:– Meteorological conditions, e.g. temperature– Air pollutants, e.g. O3, Particular Matter (PM10)– Evaluation of usability of data from in-situ sensors,
satellites and micro-drones• Health Data
– Aggregated from health insurance data, but very difficult to use as for billing not research
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Land Cover
Streetdensity
Trafficdensity
Elevation
PM10
Modelling of Air Pollution With a MultidimensionalFeature Space Approach
Animated Visualization ofSpace and Time
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Play! Check out:http://time2maps.dyndns.org
Case Study 2 Durban: Environmental challenges to health due to air pollution
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Located on the eastern seaboard of South Africa,mix of heavy industrial activity and residential settlements inclose proximity, high exposure of community to industrial pollutants
• IT system to estimate meteorological and air quality that influences pollution > leading to respiratory health outcomes
• Using available sources of data
–Air Quality Monitoring System (SO2, PM10, NOx)
–Health data from a respiratory disease study on school children in Durban
Case Study 2 Overview
-4 -3 -2 -1 Today0
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10
15
20
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Health Risk Concentration
Durban Health Risk System
11Pollution concentration map for period of 10 minutesRisk map for likely respiratory diseases for period of 24 hours
Case Study 3: Uganda
• Investigating the impact of environmental and climatic variables on cholera outbreaks
• Goal: Better understand the underlying processes causing cholera disease outbreaks
– Run a water sampling campaign– Analyse cholera bacteria type, abundance and
toxicological state– Analyse EO data – Fuse with health data
• Environmental parameters:– Meteorological conditions, e.g. temperature, rainfall– Water surface temperature– UV
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Case Study 3: Cholera, Uganda
• A data visualization tool presenting research and modeling results, and an environmental vulnerability index, to enable decision makers and local authorities to better understand the environmental risk and the level of vulnerability of communities to potential cholera outbreaks.
• integration in a Scientific Workflow environment to meet needs of researchers in the environment/health domain.
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Example map of spatial auto-correlation of cholera cases
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Recording cholera cases in Uganda
Cholera cases in Uganda
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PopulationDemographics,Transportation andMigration
Epidemiological surveillance (health)
Ocean, Climate andEnvironmentalObservation,Monitoring andForecasts
Social andBehavioral Factors
Risk Analysis,VulnerabilityAsessment
Predictive models
Disease WatchEarly Warning
ResponseStrategy
Communicationand Action
Evaluation andFeedback
Components to be supported by EO2HEAVEN
Other components in the Health Early Warning System
EO2HEAVEN is developing components of a Health Risk Information System, e.g. for use in the WHO GIMS Early Warning System
Components of an early warning system
EO2HEAVEN
Diagram adapted from J. Trtanj / NOAA, IEEE GEOSS Workshop XXXI - Using Earth Observation for Health; a workshop of the GEO Health and the Environment Community of Practice, 2009
Spatial Information Infrastructure
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Domain data
Geo data
Metadata
Analysis / EvaluationInfo-Center
Sensors
maps
documents
Archive
Command & Control Center CatalogueService Infrastructure using
International Standards
(e.g. Open GeospatialConsortium OGC)
S&T Innovation, Research Challenges
• Interoperability and linking with other data sources– mobile clients, repositories, …
• Fusion of EO and in-situ data• Relations environment – microbiology - epidemiology• Development of health risk indices for decision support• Extendibility of modeling to other contexts• Controlled access to data and services
– esp. health related
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EO2HEAVEN Contributions to GEO Workplan 2012-2015
• HE 01 Tools and Information for Health Decision Making– C1 Air-borne Diseases, Air Quality and Aeroallergens– C2 Water-borne Diseases, Water Quality and Risk
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• EO2HEAVEN leads the AIP 5 SBA Health threads (in IN 05 GEOSS Design and Interoperability)
– See the presentations on Friday morning !!• Participates in Health & Environment Community of Practice
Making the results sustainable
• Capacity building with stakeholders• Best practices
– Spacial Information Infrastructure for health & environment data (researchers / stakeholders)
– Microbiological sampling• Software Components as open source• SII Specifications openly available through OGC• Collaboration with organisations in GEO Health &
Environment CoP
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Upcoming major events and dissemination activities
• Air Quality & Health Workshop at GEO IX, November 22
• AIP-5 Demonstrations & Presentations at GEO IX, November 23, 10:00-12:00, 2012
• 2nd EO2HEAVEN Stakeholder and Training Workshops in Durban, Pretoria and Kampala, February, 2013
• Final Event, Leuven near Brussels, May 13-14, 2013
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Thank you for your attention
Kym WatsonCoordinator EO2HEAVENFraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB Karlsruhe, [email protected]
José LorenzoResearch Coordinator EO2HEAVENAtos, Madrid, [email protected]
Ingo SimonisTechnical Manager EO2HEAVEN and leader GEO AIP 5 Thread SBA Health Open Geospatial [email protected]
www.eo2heaven.org
