A researcher has used social media to track attitudes about vaccination and how they correlate with vaccination rates, in the process creating a novel model to track a variety of disease states.
The study adds to a growing body of evidence that social networking can be used to track diseases and other natural disasters that affect public health. Earlier this year, researchers used Twitter to track rapidly-evolving public sentiment about H1N1 influenza, and found that tweets correlated with actual disease activity. Before that, researchers analyzed how Twitter was used to disseminate information (and misinformation) about flu trends.
In the latest study, Read more »
*This blog post was originally published at ACP Internist*
I so totally know how this sounds to write to a service, but I must confess: your little wings have changed the trajectory of my life and – for the most part – I think it’s been for the best.
I’ve been around for over 40 years, have seen many things, met all sorts of people and have – mostly – enjoyed my life. But I think every several hundred years, a tiny and almost insignificant tool comes out of nowhere and changes the world – like the wheel and zero, both of which are truly “nothing” (both are each shaped the same way). And yet the each not only changed the course of civilizations but also created them. Read more »
*This blog post was originally published at Phil Baumann*
A team from Northeastern University and Harvard Medical School has been analyzing words used in tweets by American users in an attempt to gauge the public mood around the country.
What they discovered was that users on the West Coast seem to be quite a bit jollier than those on the East Coast. It’s not clear whether the data was collected during the summer or winter months and accordingly adjusted, for that surely would affect the readings.
Researchers were able to infer the mood of each tweet using a psychological word-rating system developed by the National Institute of Mental Health’s Center for the Study of Emotion and Attention. The system ranks words based on how they make people feel. Read more »
*This blog post was originally published at Medgadget*