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Modeling Ebola Spread and Using HPCC/KEL System

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Big Data Technologies and Applications

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Abstract

Epidemics have disturbed human lives for centuries causing massive numbers of deaths and illness among people and animals. Due to increase in urbanization, the possibility of worldwide epidemic is growing too. Infectious diseases like Ebola remain among the world’s leading causes of mortality and years of life lost. Addressing the significant disease burdens, which mostly impact the world’s poorest regions, is a huge challenge which requires new solutions and new technologies. This paper describes some of the models and mobile applications that can be used in determining the transmission, predicting the outbreak and preventing from an Ebola epidemic.

This chapter has been developed by Jesse Shaw and Flavio Villanustre, LexisNexis Risk Solutions, and Borko Furht, Ankur Agarwal, and Abhishek Jain, Florida Atlantic University.

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Acknowledgments

This work has been funded by the NSF Award No. CNS 1512932 RAPID: Modelling Ebola Spread and Developing Decision Support System Using Big Data Analytics, 2015–2016.

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Authors and Affiliations

  1. Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA

    Borko Furht, Ankur Agarwal & Abhishek Jain

  2. LexisNexis Risk Solutions, Alpharetta, GA, USA

    Jesse Shaw & Flavio Villanustre

Authors
  1. Jesse Shaw
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  2. Flavio Villanustre
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  3. Borko Furht
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  4. Ankur Agarwal
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  5. Abhishek Jain
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Corresponding author

Correspondence to Borko Furht .

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© 2016 Springer International Publishing Switzerland

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Shaw, J., Villanustre, F., Furht, B., Agarwal, A., Jain, A. (2016). Modeling Ebola Spread and Using HPCC/KEL System. In: Big Data Technologies and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-44550-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-44550-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44548-9

  • Online ISBN: 978-3-319-44550-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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