| Literature DB >> 26644779 |
Yi Liu1, Jiameng Hu1, Isaiah Snell-Feikema1, Michael S VanBemmel1, Aashis Lamsal2, Michael C Wimberly2.
Abstract
Satellite remote sensing produces an abundance of environmental data that can be used in the study of human health. To support the development of early warning systems for mosquito-borne diseases, we developed an open-source, client based software application to enable the Epidemiological Applications of Spatial Technologies (EASTWeb). Two major design decisions were full automation of the discovery, retrieval and processing of remote sensing data from multiple sources, and making the system easily modifiable in response to changes in data availability and user needs. Key innovations that helped to achieve these goals were the implementation of a software framework for data downloading and the design of a scheduler that tracks the complex dependencies among multiple data processing tasks and makes the system resilient to external errors. EASTWeb has been successfully applied to support forecasting of West Nile virus outbreaks in the United States and malaria epidemics in the Ethiopian highlands.Entities:
Keywords: Software architecture; West Nile virus; early warning; malaria; remote sensing; workflows
Year: 2015 PMID: 26644779 PMCID: PMC4669966 DOI: 10.1016/j.envsoft.2015.07.006
Source DB: PubMed Journal: Environ Model Softw ISSN: 1364-8152 Impact factor: 5.288