Abstract
Disease maps and forecasts developed using satellite remote sensing data can inform the decisions of public health officials and improve disease control and epidemic response. However, it is time consuming to construct a geospatial health system using remote sensing data products from scratch and it is quite expensive to maintain the system if changes are needed to the data products. We have developed an open-source Epidemiological Applications of Spatial Technologies (EASTWeb) framework to facilitate constructing applications to automate the retrieval, processing, and storage of satellite remote sensing data for public health research and applications. This paper briefly introduces the EASTWeb framework and uses a case study to demonstrate how the EASTWeb framework can be easily extended to be an application. The paper also illustrates the EASTWeb V2.0 system, which is extended from the framework and has been using in forecasting the West Nile Virus and Malaria epidemic risks in our research.
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Acknowledgments
This work is supported by NASA ACCESS grant NNX14AI37A “Expanding Earth Science Data Access for Public Health Research and Applications” and NIH grant R01AI079411 “An Integrated System for the Epidemiological Application of Earth Observation Technologies”.
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Liu, Y., DeVos, M.D., Abdul-Ramin, M., Wimberly, M.C. (2017). Building Geospatial Health Applications from the EASTWeb Framework. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_50
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DOI: https://doi.org/10.1007/978-981-10-3969-0_50
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