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Modeling Ebola Spread and Using HPCC/KEL System

Chapter

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.

Keywords

Healthcare Worker Mobile Application Case Fatality Rate Personal Protective Equipment Ordinary Differential Equation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

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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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Computer and Electrical Engineering and Computer ScienceFlorida Atlantic UniversityBoca RatonUSA
  2. 2.LexisNexis Risk SolutionsAlpharettaUSA

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