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zika

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We proposed and implemented a model of how an epidemic spreads based on the interactions recorded, among humans. The system was assumed as a Markov process where the hidden variable is the state of the person, transition between the states was done by the interactions. These interactions will be detected by using RFID technology in smart phones.

  • Updated Dec 28, 2017
  • Python

I noticed that traditional methods to predict a disease outbreak was by performing sentiment analysis on Twitter posts and Google Search terms. Unfortunately, these methods were inadequate, as Twitter and Google is not popular in all countries. So, I created a system to model and predict outbreaks without the need for social media. The system wa…

  • Updated Nov 11, 2017
  • Jupyter Notebook

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