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Full-Text Articles in Life Sciences
Adapting The Standard Sir Disease Model In Order To Track And Predict The Spreading Of The Ebola Virus Using Twitter Data, Armin Smailhodzic
Adapting The Standard Sir Disease Model In Order To Track And Predict The Spreading Of The Ebola Virus Using Twitter Data, Armin Smailhodzic
Masters Theses & Specialist Projects
A method has been developed to track infectious diseases by using data mining of active Twitter accounts and its efficacy was demonstrated during the West African Ebola outbreak of 2014. Using a meme based n-gram semantic usage model to search the Twitter database for indications of illness, flight and death from the spread of Ebola in Africa, principally from Guinea, Sierra Leone and Liberia. Memes of interest relate disease to location and severity and are coupled to the density of Tweets and re-Tweets. The meme spreads through the community of social users in a fashion similar to nonlinear wave propagation- …
Ua94/6/15 Student / Alumni Personal Papers Wku Dorris Hutchinson, Wku Archives
Ua94/6/15 Student / Alumni Personal Papers Wku Dorris Hutchinson, Wku Archives
WKU Archives Collection Inventories
Correspondence and publications created by and about the Dorris Hutchison during her time at Sloan-Kettering Institute.