Literature DB >> 22597352

Can Twitter predict disease outbreaks?

Connie St Louis1, Gozde Zorlu.   

Abstract

Mesh：

Year:  2012        PMID： 22597352     DOI： 10.1136/bmj.e2353

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  19 in total

1.  Medical journals, impact and social media: an ecological study of the Twittersphere.

Authors:  Theodore D Cosco
Journal:  CMAJ       Date:  2015-12-08       Impact factor: 8.262

2.  Tweet for health: using an online social network to examine temporal trends in weight loss-related posts.

Authors:  Gabrielle M Turner-McGrievy; Michael W Beets
Journal:  Transl Behav Med       Date:  2015-06       Impact factor: 3.046

3.  "5 mins of uncomfyness is better than dealing with cancer 4 a lifetime": an exploratory qualitative analysis of cervical and breast cancer screening dialogue on Twitter.

Authors:  Courtney R Lyles; Andrea López; Rena Pasick; Urmimala Sarkar
Journal:  J Cancer Educ       Date:  2013-03       Impact factor: 2.037

4.  LESSONS LEARNED ABOUT PUBLIC HEALTH FROM ONLINE CROWD SURVEILLANCE.

Authors:  Shawndra Hill; Raina Merchant; Lyle Ungar
Journal:  Big Data       Date:  2013-09-10       Impact factor: 2.128

5.  Psychological language on Twitter predicts county-level heart disease mortality.

Authors:  Johannes C Eichstaedt; Hansen Andrew Schwartz; Margaret L Kern; Gregory Park; Darwin R Labarthe; Raina M Merchant; Sneha Jha; Megha Agrawal; Lukasz A Dziurzynski; Maarten Sap; Christopher Weeg; Emily E Larson; Lyle H Ungar; Martin E P Seligman
Journal:  Psychol Sci       Date:  2015-01-20

6.  The Relationship Between Social Media Data and Crime Rates in the United States.

Authors:  Yan Wang; Wenchao Yu; Sam Liu; Sean D Young
Journal:  Soc Media Soc       Date:  2019-03-29

7.  Detecting and Monitoring Hate Speech in Twitter.

Authors:  Juan Carlos Pereira-Kohatsu; Lara Quijano-Sánchez; Federico Liberatore; Miguel Camacho-Collados
Journal:  Sensors (Basel)       Date:  2019-10-26       Impact factor: 3.576

Review 8.  Systematic review on the prevalence, frequency and comparative value of adverse events data in social media.

Authors:  Su Golder; Gill Norman; Yoon K Loke
Journal:  Br J Clin Pharmacol       Date:  2015-09-16       Impact factor: 4.335

9.  Estimating the Duration of Public Concern After the Fukushima Dai-ichi Nuclear Power Station Accident From the Occurrence of Radiation Exposure-Related Terms on Twitter: A Retrospective Data Analysis.

Authors:  Naoki Nishimoto; Mizuki Ota; Ayako Yagahara; Katsuhiko Ogasawara
Journal:  JMIR Public Health Surveill       Date:  2016-11-25

10.  Disease surveillance data sharing for public health: the next ethical frontiers.

Authors:  Patty Kostkova
Journal:  Life Sci Soc Policy       Date:  2018-07-04
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