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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References
Ford, T.E., Colwell, R.R., Rose, J.B., Morse, S.S., Rogers, D.J., Yates, T.L.: Using satellite images of environmental changes to predict infectious disease outbreaks. Emerg. Infect. Dis. 15, 1341–1346 (2009)
Chuang, T., Wimberly, M.C.: Remote sensing of climatic anomalies and west nile virus incidence in the northern great plains of the United States. PLoS ONE 7, e46882 (2012)
Midekisa, A., Senay, G., Henebry, G.M., Semuniguse, P., Wimberly, M.C.: Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia. Malaria J. 11, 165 (2012)
Liu, Y., Hu, J., Snell-Feikema, I., VanBemmel, M.S., Lamsal, A., Wimberly, M.C.: Software to facilitate remote sensing data access for disease early warning systems. Environ. Model. Softw. 74, 247–257 (2015)
EASTWeb site. https://epidemia.sdstate.edu/eastweb/
Land Processes Distributed Active Archive Center (LP DAAC). https://lpdaac.usgs.gov
Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.sci.gsfc.nasa.gov/
Liu, Y., Wimberly, M.C., Hu, J.: On the construction of EASTWeb framework - a plug-in framework for processing earth observation data streams. In: Proceedings of the IEEE International Conference on Electro/Information Technology (IEEE EIT 2014), Milwaukee, WI, USA, June 2014
Liu, Y., DeVos, M., Hu, J., Abdul-Ramin, M., Wimberly, M.C.: EASTWeb framework– a plug-in framework for constructing geospatial health applications. In: Proceedings of the IEEE International Conference on Electro/Information Technology (IEEE EIT 2016), Grand Forks, ND, USA, May 2016
Schmid, H.A.: Framework design by systematic generalization. In: Fayad, M.E., Schmidt, D.C., Johnson, R.E. (eds.) Building Application Frameworks, pp. 353–378. Wiley, Hoboken (1999)
Geospatial Data Abstraction Library (GDAL). http://www.gdal.org
Tropical Rainfall Measuring Mission (TRMM). http://trmm.gsfc.nasa.gov/
Eclipse. https://eclipse.org/
North American Land Data Assimilation System (NLDAS). http://ldas.gsfc.nasa.gov/
Wimberly, M.C., Henebry, G.M., Liu, Y., Senay, G.B.: EPIDEMIA - an EcoHealth informatics system for integrated forecasting of malaria epidemics. In: Proceedings of the 7th International Congress on Environmental Modelling and Software. International Environmental Modelling and Software Society (iEMSs 2014), San Diego, CA, USA (2014)
Global Precipitation Measurement. http://www.nasa.gov/mission_pages/GPM/main/
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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