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  1. May 28, 2020Analyzing data from social media can identify potential disease outbreaks
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    A new method to analyze social media data could help predict future outbreaks of diseases and viruses like COVID-19 and the measles.

    In a new study, researchers from the University of Waterloo examined computer simulations to develop a new method of analyzing interactions on social media that can predict when a disease outbreak is likely.

  2. May 27, 2020Calculating the future of COVID
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    A group of computer science students are applying big data practices to predicting the cease of COVID cases in Canada. Their findings? October 15, 2020.

    Faced with this unprecedented situation of pivoting to online learning, many of Waterloo’s instructors wanted to get their students involved in research around COVID-19.

    One such instructor is computer science professor Ali Abedi, who teaches two big data courses: Data Intensive Distributed Computing (CS451) and Data Intensive Distributed Analytics (CS431).

  3. May 22, 2020COVID-19 employee contact tracing inside hospitals to protect front-line workers
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    Waterloo’s Faculty of Mathematics alumnus Ed Wei (BCS ’06) is overseeing a new use for his company’s indoor mapping technology — the identification of front-line workers who may be at a higher chance of being exposed to COVID-19 inside hospitals and other health-care facilities.

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