Epidemiology from Tweets: Estimating Misuse of Prescription Opioids in the USA from Social Media

Epidemiology from Tweets: Estimating Misuse of Prescription Opioids in the USA from Social Media J. Med. Toxicol. (2017) 13:278–286 DOI 10.1007/s13181-017-0625-5 ORIGINAL ARTICLE Epidemiology from Tweets: Estimating Misuse of Prescription Opioids in the USA from Social Media 1 2 3 4 Michael Chary & Nicholas Genes & Christophe Giraud-Carrier & Carl Hanson & 5 6,7 Lewis S. Nelson & Alex F. Manini Received: 5 October 2016 /Revised: 9 July 2017 /Accepted: 10 July 2017 /Published online: 22 August 2017 American College of Medical Toxicology 2017 Abstract medical toxicologist and emergency physician curated the list Background The misuse of prescription opioids (MUPO) is a of keywords. We used the semantic distance (SemD) to automat- leading public health concern. Social media are playing an ically quantify the similarity of meaning between tweets and expanded role in public health research, but there are few identify tweets that mentioned MUPO. We defined the SemD methods for estimating established epidemiological metrics between two words as the shortest distance between the two from social media. The purpose of this study was to demon- corresponding word-centroids. Each word-centroid represented strate that the geographic variation of social media posts men- all recognized meanings of a word. We validated this automatic tioning prescription opioid misuse strongly correlates with identification with manual curation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Medical Toxicology Springer Journals

Epidemiology from Tweets: Estimating Misuse of Prescription Opioids in the USA from Social Media

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Publisher
Springer US
Copyright
Copyright © 2017 by American College of Medical Toxicology
Subject
Biomedicine; Pharmacology/Toxicology; Biomedicine, general
ISSN
1556-9039
eISSN
1937-6995
D.O.I.
10.1007/s13181-017-0625-5
Publisher site
See Article on Publisher Site

Abstract

J. Med. Toxicol. (2017) 13:278–286 DOI 10.1007/s13181-017-0625-5 ORIGINAL ARTICLE Epidemiology from Tweets: Estimating Misuse of Prescription Opioids in the USA from Social Media 1 2 3 4 Michael Chary & Nicholas Genes & Christophe Giraud-Carrier & Carl Hanson & 5 6,7 Lewis S. Nelson & Alex F. Manini Received: 5 October 2016 /Revised: 9 July 2017 /Accepted: 10 July 2017 /Published online: 22 August 2017 American College of Medical Toxicology 2017 Abstract medical toxicologist and emergency physician curated the list Background The misuse of prescription opioids (MUPO) is a of keywords. We used the semantic distance (SemD) to automat- leading public health concern. Social media are playing an ically quantify the similarity of meaning between tweets and expanded role in public health research, but there are few identify tweets that mentioned MUPO. We defined the SemD methods for estimating established epidemiological metrics between two words as the shortest distance between the two from social media. The purpose of this study was to demon- corresponding word-centroids. Each word-centroid represented strate that the geographic variation of social media posts men- all recognized meanings of a word. We validated this automatic tioning prescription opioid misuse strongly correlates with identification with manual curation.

Journal

Journal of Medical ToxicologySpringer Journals

Published: Aug 22, 2017

References

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