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Ruling out Justin Bieber fever … and how we get feedback from the population

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“… and how we get feedback from the population”. This sentence is the last remark in a short video on how Twitter might just change how we do Public Health. I love the sentence. It refers to how Twitter is a new tool in Public Health research, but also a tool for us to get feedback on our research from the population. It strikes upon one of the key values of social media in public health – its ability to interact with the population whose health and well-being is what we are working to ensure.

In 1 minute and 40 seconds, Computer Science Professor Michael J. Paul and Doctoral Candidate Mark Dredz, both at Johns Hopkins University, gives an appetizer to how we can use public health information hidden in tweets to improve the health of our population. The secret is, as it is in most public health research, not to look at one patient, one doctor, one sick story or one single Tweet, but to look at thousands or in this case even billions. This video show how two billion Tweets can unlock insights to our public health.

By analyzing two billion Tweets for relevance to health information and then comparing the results to data from the Centers for Disease Control (CDC), Michael J. Paul and Mark Dredz demonstrate how Twitter can accurately track the spread of influenza, the peak of allergies and predict how diseases spread and change over time.

This really could change the way we do public health in this country – and how we get feedback from the population.”

Michael J. Paul, Professor, Johns Hopkins University

The secret is to turn tweets into data. That requires however a computer which  have been taught that ‘Justin Bieber fever’ is (so far) not a public health problem. Luckily they solved that problem:

The analysis by Michael J. Paul and Mark Dredz can be read in a traditional scientific article format here.



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