Literature DB >> 21417499

Social media and networks in pharmacovigilance: boon or bane?

I Ralph Edwards, Marie Lindquist.   

Abstract

Mesh:

Year:  2011        PMID: 21417499     DOI: 10.2165/11590720-000000000-00000

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


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  2 in total

1.  Using Facebook to increase spontaneous reporting of adverse drug reactions.

Authors:  Marinela Z Knezevic; Ivana C Bivolarevic; Tanja S Peric; Slobodan M Jankovic
Journal:  Drug Saf       Date:  2011-04-01       Impact factor: 5.606

2.  Motives for reporting adverse drug reactions by patient-reporters in the Netherlands.

Authors:  Florence van Hunsel; Christine van der Welle; Anneke Passier; Eugène van Puijenbroek; Kees van Grootheest
Journal:  Eur J Clin Pharmacol       Date:  2010-07-24       Impact factor: 2.953

  2 in total
  20 in total

Review 1.  Experiences with adverse drug reaction reporting by patients: an 11-country survey.

Authors:  Florence van Hunsel; Linda Härmark; Shanthi Pal; Sten Olsson; Kees van Grootheest
Journal:  Drug Saf       Date:  2012-01-01       Impact factor: 5.606

2.  Social Media Listening for Routine Post-Marketing Safety Surveillance.

Authors:  Gregory E Powell; Harry A Seifert; Tjark Reblin; Phil J Burstein; James Blowers; J Alan Menius; Jeffery L Painter; Michele Thomas; Carrie E Pierce; Harold W Rodriguez; John S Brownstein; Clark C Freifeld; Heidi G Bell; Nabarun Dasgupta
Journal:  Drug Saf       Date:  2016-05       Impact factor: 5.606

3.  Text mining for adverse drug events: the promise, challenges, and state of the art.

Authors:  Rave Harpaz; Alison Callahan; Suzanne Tamang; Yen Low; David Odgers; Sam Finlayson; Kenneth Jung; Paea LePendu; Nigam H Shah
Journal:  Drug Saf       Date:  2014-10       Impact factor: 5.606

Review 4.  Utilizing social media data for pharmacovigilance: A review.

Authors:  Abeed Sarker; Rachel Ginn; Azadeh Nikfarjam; Karen O'Connor; Karen Smith; Swetha Jayaraman; Tejaswi Upadhaya; Graciela Gonzalez
Journal:  J Biomed Inform       Date:  2015-02-23       Impact factor: 6.317

5.  Can social media benefit drug safety?

Authors:  Willibert Franzen
Journal:  Drug Saf       Date:  2011-09-01       Impact factor: 5.606

6.  Fraudulent and substandard medicines: getting away with murder?

Authors:  I Ralph Edwards
Journal:  Drug Saf       Date:  2011-06-01       Impact factor: 5.606

7.  Portable automatic text classification for adverse drug reaction detection via multi-corpus training.

Authors:  Abeed Sarker; Graciela Gonzalez
Journal:  J Biomed Inform       Date:  2014-11-08       Impact factor: 6.317

8.  Pharmacovigilance for a revolving world: prospects of patient-generated data on the internet.

Authors:  G Niklas Norén
Journal:  Drug Saf       Date:  2014-10       Impact factor: 5.606

9.  A framework for assessing the economic value of pharmacovigilance in low- and middle-income countries.

Authors:  Joseph B Babigumira; Andy Stergachis; Hye Lyn Choi; Alexander Dodoo; Jude Nwokike; Louis P Garrison
Journal:  Drug Saf       Date:  2014-03       Impact factor: 5.606

Review 10.  Using social media in safety signal management: is it reliable?

Authors:  Sue Rees; Sadiqa Mian; Neal Grabowski
Journal:  Ther Adv Drug Saf       Date:  2018-08-09
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