All together satellite data, modelled AQ (Air Quality), meteorological data, and medical records constitute a colossal amount of heterogeneous information with untapped potential for health agencies, hospitals and researchers. Yet this potential is difficult to achieve by traditional tools. The analysis of Big Data is not trivial and needs specific data-mining expertise, and tools.
SMEETH covers this gap by enabling health managers and researchers handling large databases on atmosphere monitoring, disease outbreaks and Real-World-Data in a Web-based GIS. It facilitates the processing, analysis of the information, creation of indexes and drawing of conclusions, as well as providing visually exposing layered products. SMEETH ingests particulate matter from Sentinel-3 OLCI, and NO2 and ozone’s chemical precursors from Sentinel-5P (and Sentinel-4 and Sentinel-5). Satellite-based AQ data will be complemented with Copernicus Atmospheric Monitoring Service (CAMS) products characterising the atmosphere composition.
With SMEETH, health-related bodies can optimise their programmes by leveraging on geospatial information to monitoring and predict epidemic outbreaks and hospital admissions. They can to proactively adapt their healthcare processes to the peaks of demand. Moreover, geospatial intelligence improves the ground for research within the pharmaceutical industry and medical research groups interested in environmental/climatic factors affecting public health.
Users and their needs
SMEETH satisfies the need to support decision-making towards effective epidemic control and the definition of successful prevention campaigns. The target market has been grouped into three segments according to the customers’needs and our business: 1)Policy decision-makers; 2) Public Health Resource managers; and 3) Research and Academia.
- Policy-makers, public bodies, large cities with significant developments, all responsible for legislation, regulation and guidance of climate, environment, health, transportation and security matters are concerned about AQ,. are interested in grounding the decisions on SMEETHs analyses.
- With Smeeth the pharmaceutical sector find new ways to analyse data to rise efficiency in management of operations (medicines production/distribution), and to enrich market research.
- SMEETH makes it possible to better understand the relationships linking environmental effects and hospital admissions. This deeper understanding of dependencies will serve to develop indexes to predict hospital admissions, for the benefit of resource managers within Public Health Systems.
- Health Research groups require a significant data processing & analysis capacity. On average each new drug costs this industry $350 m to develop and 15 years. SMEETH accelerates this process, lowering the cost of research.
The study is being carried out with the collaboration of the following stakeholders
Service/ system concept
SMEETH is a standardized information system, based on Web-based GIS technology, containing geo-referenced information of air quality and clinical data to be used for analysis by the Health sector.
SMEETH’s high level technical consists of a three-tier architecture: The top tier provides services to the end-user; in particular relating the user interface. The middle-tier handles the production of pollutants at surface and the requests for process execution received from the users. It is the core of the system and provides the intelligence to SMEETH.
The third tier is composed by databases and file storage systems. It can be connected with either local or remote data repositories.
SMEETH is able to:
- Ingest on-line geo-referenced atmospheric data (Sentinel-5p, Sentinel-3 OLCI, meteorological and modelled AQ data)
- Ingest local geo-referenced satellite data from AURA OMI and ENVISAT MERIS data for study of past events.
- Adapt and ingest local geo-referenced medical data from stakeholders, WHO, MEDMI and MEASURE Evaluation databases.
- Process input data using pre-defined mathematical tools.
- Derive pollutants at surface from column integrated satellite inputs.
- Select and download data based on user queries.
- Visualize input and processed data.
Respond in a controlled way to gaps, unexpected values or unavailability of input data.
Space Added Value
The space assets contributing to SMEETH refer to Earth Observations Satellites. In particular, SMEETH is able to ingest L2 data from AURA OMI, ENVISAT MERIS, Sentinel-3 OLCI and Sentinel-5 precursor.
Pollutant data at surface is successfully measured with AQ monitoring stations. However the spatial representativeness of these ground data is local. This is aggravated if the network of AQ stations does not covered the area of interest for the medical study. The Copernicus Atmosphere Monitoring System (CAMS) provides hourly estimates of the state of the atmosphere on a daily basis, and it also produces daily forecasts. CAMS products are only representative for large scale phenomena, they cannot reproduce local aspects of air pollution. The global products are provided by the ECMWF Composition-Integrated Forecast System and includes aerosols and reactive gases with a horizontal resolution of ≈80 km.European AQ products are obtained from regional AQ models at 0.1 degrees.
Air quality data derived from EO Satellites complements in-situ and modelled data adding value to the spatial coverage, spatial resolution and accuracy.
Sentinel 5P sees NO2 over Europe on 22 Nov 2017 (credit KNMI/ESA)
The project has just started and the following activities are planned in first place:
Task 1- User Engagement
- User Requirements
- Service Requirements (Intermediate)
- Gathering clinical data
- Planning for the End-users workshop
- Enlarge users community (UK)
Task 2- Technical Feasibility
- System Architecture definition
Task 3 - Economic Viability
- Business plan (intermediate)