Articles published in 2017 in this theme: 54 (scroll down to load remaining articles)
2017
![Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content](https://asset.jmir.pub/assets/thumbs/bdafd1cada19f4b2e8cf785b92998799.png 480w,https://asset.jmir.pub/assets/thumbs/bdafd1cada19f4b2e8cf785b92998799.png 960w,https://asset.jmir.pub/assets/thumbs/bdafd1cada19f4b2e8cf785b92998799.png 1920w,https://asset.jmir.pub/assets/thumbs/bdafd1cada19f4b2e8cf785b92998799.png 2500w)
Moritz Wagner, Vasileios Lampos, Elad Yom-Tov, Richard Pebody, Ingemar J Cox
J Med Internet Res 2017 (Dec 21); 19(12):e416Download Citation: END BibTex RIS
![E-Cigarette Surveillance With Social Media Data: Social Bots, Emerging Topics, and Trends E-Cigarette Surveillance With Social Media Data: Social Bots, Emerging Topics, and Trends](https://asset.jmir.pub/assets/thumbs/0723d343c753e7f58a312e96ef66d28a.png 480w,https://asset.jmir.pub/assets/thumbs/0723d343c753e7f58a312e96ef66d28a.png 960w,https://asset.jmir.pub/assets/thumbs/0723d343c753e7f58a312e96ef66d28a.png 1920w,https://asset.jmir.pub/assets/thumbs/0723d343c753e7f58a312e96ef66d28a.png 2500w)
E-Cigarette Surveillance With Social Media Data: Social Bots, Emerging Topics, and Trends
Jon-Patrick Allem, Emilio Ferrara, Sree Priyanka Uppu, Tess Boley Cruz, Jennifer B Unger
JMIR Public Health Surveill 2017 (Dec 20); 3(4):e98Download Citation: END BibTex RIS
![Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome](https://asset.jmir.pub/assets/thumbs/6c332e2e55a9cc024be1c54caab75a6e.png 480w,https://asset.jmir.pub/assets/thumbs/6c332e2e55a9cc024be1c54caab75a6e.png 960w,https://asset.jmir.pub/assets/thumbs/6c332e2e55a9cc024be1c54caab75a6e.png 1920w,https://asset.jmir.pub/assets/thumbs/6c332e2e55a9cc024be1c54caab75a6e.png 2500w)
Jiang Bian, Yunpeng Zhao, Ramzi G Salloum, Yi Guo, Mo Wang, Mattia Prosperi, Hansi Zhang, Xinsong Du, Laura J Ramirez-Diaz, Zhe He, Yuan Sun
J Med Internet Res 2017 (Dec 13); 19(12):e414Download Citation: END BibTex RIS
![Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure](https://asset.jmir.pub/assets/thumbs/46d80a3402d287e86ee8183e47d7f429.png 480w,https://asset.jmir.pub/assets/thumbs/46d80a3402d287e86ee8183e47d7f429.png 960w,https://asset.jmir.pub/assets/thumbs/46d80a3402d287e86ee8183e47d7f429.png 1920w,https://asset.jmir.pub/assets/thumbs/46d80a3402d287e86ee8183e47d7f429.png 2500w)
Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure
Ahmad P Tafti, Jonathan Badger, Eric LaRose, Ehsan Shirzadi, Andrea Mahnke, John Mayer, Zhan Ye, David Page, Peggy Peissig
JMIR Med Inform 2017 (Dec 08); 5(4):e51Download Citation: END BibTex RIS
![Discrepancies Between Classic and Digital Epidemiology in Searching for the Mayaro Virus: Preliminary Qualitative and Quantitative Analysis of Google Trends Discrepancies Between Classic and Digital Epidemiology in Searching for the Mayaro Virus: Preliminary Qualitative and Quantitative Analysis of Google Trends](https://asset.jmir.pub/assets/thumbs/2d8e7d224b43c0cea3a7f6f3af4e04e1.png 480w,https://asset.jmir.pub/assets/thumbs/2d8e7d224b43c0cea3a7f6f3af4e04e1.png 960w,https://asset.jmir.pub/assets/thumbs/2d8e7d224b43c0cea3a7f6f3af4e04e1.png 1920w,https://asset.jmir.pub/assets/thumbs/2d8e7d224b43c0cea3a7f6f3af4e04e1.png 2500w)
Mohammad Adawi, Nicola Luigi Bragazzi, Abdulla Watad, Kassem Sharif, Howard Amital, Naim Mahroum
JMIR Public Health Surveill 2017 (Dec 01); 3(4):e93Download Citation: END BibTex RIS
![Syndromic Surveillance Models Using Web Data: The Case of Influenza in Greece and Italy Using Google Trends Syndromic Surveillance Models Using Web Data: The Case of Influenza in Greece and Italy Using Google Trends](https://asset.jmir.pub/assets/thumbs/b115837c8350456ea1b94b7b91d128f2.png 480w,https://asset.jmir.pub/assets/thumbs/b115837c8350456ea1b94b7b91d128f2.png 960w,https://asset.jmir.pub/assets/thumbs/b115837c8350456ea1b94b7b91d128f2.png 1920w,https://asset.jmir.pub/assets/thumbs/b115837c8350456ea1b94b7b91d128f2.png 2500w)
Loukas Samaras, Elena García-Barriocanal, Miguel-Angel Sicilia
JMIR Public Health Surveill 2017 (Nov 20); 3(4):e90Download Citation: END BibTex RIS
![Health Information–Seeking Patterns of the General Public and Indications for Disease Surveillance: Register-Based Study Using Lyme Disease Health Information–Seeking Patterns of the General Public and Indications for Disease Surveillance: Register-Based Study Using Lyme Disease](https://asset.jmir.pub/assets/thumbs/2b1f11480f02461ab7fa8ad83cdb211b.png 480w,https://asset.jmir.pub/assets/thumbs/2b1f11480f02461ab7fa8ad83cdb211b.png 960w,https://asset.jmir.pub/assets/thumbs/2b1f11480f02461ab7fa8ad83cdb211b.png 1920w,https://asset.jmir.pub/assets/thumbs/2b1f11480f02461ab7fa8ad83cdb211b.png 2500w)
Samuli Pesälä, Mikko J Virtanen, Jussi Sane, Pekka Mustonen, Minna Kaila, Otto Helve
JMIR Public Health Surveill 2017 (Nov 06); 3(4):e86Download Citation: END BibTex RIS
![Subregional Nowcasts of Seasonal Influenza Using Search Trends Subregional Nowcasts of Seasonal Influenza Using Search Trends](https://asset.jmir.pub/assets/thumbs/c5c9d1eca97a6d94c818afc52974669d.png 480w,https://asset.jmir.pub/assets/thumbs/c5c9d1eca97a6d94c818afc52974669d.png 960w,https://asset.jmir.pub/assets/thumbs/c5c9d1eca97a6d94c818afc52974669d.png 1920w,https://asset.jmir.pub/assets/thumbs/c5c9d1eca97a6d94c818afc52974669d.png 2500w)
Subregional Nowcasts of Seasonal Influenza Using Search Trends
Sasikiran Kandula, Daniel Hsu, Jeffrey Shaman
J Med Internet Res 2017 (Nov 06); 19(11):e370Download Citation: END BibTex RIS
![Online Influence and Sentiment of Fitness Tweets: Analysis of Two Million Fitness Tweets Online Influence and Sentiment of Fitness Tweets: Analysis of Two Million Fitness Tweets](https://asset.jmir.pub/assets/thumbs/30f538f5fb566d8e96018c4f163e0e11.png 480w,https://asset.jmir.pub/assets/thumbs/30f538f5fb566d8e96018c4f163e0e11.png 960w,https://asset.jmir.pub/assets/thumbs/30f538f5fb566d8e96018c4f163e0e11.png 1920w,https://asset.jmir.pub/assets/thumbs/30f538f5fb566d8e96018c4f163e0e11.png 2500w)
Online Influence and Sentiment of Fitness Tweets: Analysis of Two Million Fitness Tweets
Theodore Vickey, John G. Breslin
JMIR Public Health Surveill 2017 (Oct 31); 3(4):e82Download Citation: END BibTex RIS
![Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data](https://asset.jmir.pub/assets/thumbs/70dc16304489c9de6032fd04a5331622.png 480w,https://asset.jmir.pub/assets/thumbs/70dc16304489c9de6032fd04a5331622.png 960w,https://asset.jmir.pub/assets/thumbs/70dc16304489c9de6032fd04a5331622.png 1920w,https://asset.jmir.pub/assets/thumbs/70dc16304489c9de6032fd04a5331622.png 2500w)
Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data
Sunny Jung Kim, Lisa A Marsch, Jeffrey T Hancock, Amarendra K Das
J Med Internet Res 2017 (Oct 31); 19(10):e353Download Citation: END BibTex RIS
![Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis](https://asset.jmir.pub/assets/thumbs/70b25051dc7ad17780465fc3ecf05da7.png 480w,https://asset.jmir.pub/assets/thumbs/70b25051dc7ad17780465fc3ecf05da7.png 960w,https://asset.jmir.pub/assets/thumbs/70b25051dc7ad17780465fc3ecf05da7.png 1920w,https://asset.jmir.pub/assets/thumbs/70b25051dc7ad17780465fc3ecf05da7.png 2500w)
Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis
Abeed Sarker, Pramod Chandrashekar, Arjun Magge, Haitao Cai, Ari Klein, Graciela Gonzalez
J Med Internet Res 2017 (Oct 30); 19(10):e361Download Citation: END BibTex RIS
![Adverse Reactions Associated With Cannabis Consumption as Evident From Search Engine Queries Adverse Reactions Associated With Cannabis Consumption as Evident From Search Engine Queries](https://asset.jmir.pub/assets/thumbs/dc1dcfd093edf2ccdd832e90ca8f8789.png 480w,https://asset.jmir.pub/assets/thumbs/dc1dcfd093edf2ccdd832e90ca8f8789.png 960w,https://asset.jmir.pub/assets/thumbs/dc1dcfd093edf2ccdd832e90ca8f8789.png 1920w,https://asset.jmir.pub/assets/thumbs/dc1dcfd093edf2ccdd832e90ca8f8789.png 2500w)
Adverse Reactions Associated With Cannabis Consumption as Evident From Search Engine Queries
JMIR Public Health Surveill 2017 (Oct 26); 3(4):e77Download Citation: END BibTex RIS
![A Novel Approach to Identifying Barriers and Facilitators in Raising a Child With Type 1 Diabetes: Qualitative Analysis of Caregiver Blogs A Novel Approach to Identifying Barriers and Facilitators in Raising a Child With Type 1 Diabetes: Qualitative Analysis of Caregiver Blogs](https://asset.jmir.pub/assets/thumbs/df6719dbaefccc842d2f36612142dbad.png 480w,https://asset.jmir.pub/assets/thumbs/df6719dbaefccc842d2f36612142dbad.png 960w,https://asset.jmir.pub/assets/thumbs/df6719dbaefccc842d2f36612142dbad.png 1920w,https://asset.jmir.pub/assets/thumbs/df6719dbaefccc842d2f36612142dbad.png 2500w)
Tamara K Oser, Sean M Oser, Erin L McGinley, Heather L Stuckey
JMIR Diabetes 2017 (Oct 26); 2(2):e27Download Citation: END BibTex RIS
![#MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter #MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter](https://asset.jmir.pub/assets/thumbs/3b60bfa3280a43e2dd24a365fdc9b5b2.png 480w,https://asset.jmir.pub/assets/thumbs/3b60bfa3280a43e2dd24a365fdc9b5b2.png 960w,https://asset.jmir.pub/assets/thumbs/3b60bfa3280a43e2dd24a365fdc9b5b2.png 1920w,https://asset.jmir.pub/assets/thumbs/3b60bfa3280a43e2dd24a365fdc9b5b2.png 2500w)
#MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter
E Megan Lachmar, Andrea K Wittenborn, Katherine W Bogen, Heather L McCauley
JMIR Ment Health 2017 (Oct 18); 4(4):e43Download Citation: END BibTex RIS
![Identifying Sentiment of Hookah-Related Posts on Twitter Identifying Sentiment of Hookah-Related Posts on Twitter](https://asset.jmir.pub/assets/thumbs/348193d4c7d301eaa9fe2866ae92a327.png 480w,https://asset.jmir.pub/assets/thumbs/348193d4c7d301eaa9fe2866ae92a327.png 960w,https://asset.jmir.pub/assets/thumbs/348193d4c7d301eaa9fe2866ae92a327.png 1920w,https://asset.jmir.pub/assets/thumbs/348193d4c7d301eaa9fe2866ae92a327.png 2500w)
Identifying Sentiment of Hookah-Related Posts on Twitter
Jon-Patrick Allem, Jagannathan Ramanujam, Kristina Lerman, Kar-Hai Chu, Tess Boley Cruz, Jennifer B Unger
JMIR Public Health Surveill 2017 (Oct 18); 3(4):e74Download Citation: END BibTex RIS
![Raising Awareness About Cervical Cancer Using Twitter: Content Analysis of the 2015 #SmearForSmear Campaign Raising Awareness About Cervical Cancer Using Twitter: Content Analysis of the 2015 #SmearForSmear Campaign](https://asset.jmir.pub/assets/thumbs/37dd03ba08c0b085aaf8df6220be414b.png 480w,https://asset.jmir.pub/assets/thumbs/37dd03ba08c0b085aaf8df6220be414b.png 960w,https://asset.jmir.pub/assets/thumbs/37dd03ba08c0b085aaf8df6220be414b.png 1920w,https://asset.jmir.pub/assets/thumbs/37dd03ba08c0b085aaf8df6220be414b.png 2500w)
Philippe Lenoir, Bilel Moulahi, Jérôme Azé, Sandra Bringay, Gregoire Mercier, François Carbonnel
J Med Internet Res 2017 (Oct 16); 19(10):e344Download Citation: END BibTex RIS
![Effects of the Ambient Fine Particulate Matter on Public Awareness of Lung Cancer Risk in China: Evidence from the Internet-Based Big Data Platform Effects of the Ambient Fine Particulate Matter on Public Awareness of Lung Cancer Risk in China: Evidence from the Internet-Based Big Data Platform](https://asset.jmir.pub/assets/thumbs/4768a34789d9bf5ca6ee04020076ae18.png 480w,https://asset.jmir.pub/assets/thumbs/4768a34789d9bf5ca6ee04020076ae18.png 960w,https://asset.jmir.pub/assets/thumbs/4768a34789d9bf5ca6ee04020076ae18.png 1920w,https://asset.jmir.pub/assets/thumbs/4768a34789d9bf5ca6ee04020076ae18.png 2500w)
Hongxi Yang, Shu Li, Li Sun, Xinyu Zhang, Jie Hou, Yaogang Wang
JMIR Public Health Surveill 2017 (Oct 03); 3(4):e64Download Citation: END BibTex RIS
![Classification of Twitter Users Who Tweet About E-Cigarettes Classification of Twitter Users Who Tweet About E-Cigarettes](https://asset.jmir.pub/assets/thumbs/31b1a5292cf646dfbfd6ea46cebda41b.png 480w,https://asset.jmir.pub/assets/thumbs/31b1a5292cf646dfbfd6ea46cebda41b.png 960w,https://asset.jmir.pub/assets/thumbs/31b1a5292cf646dfbfd6ea46cebda41b.png 1920w,https://asset.jmir.pub/assets/thumbs/31b1a5292cf646dfbfd6ea46cebda41b.png 2500w)
Classification of Twitter Users Who Tweet About E-Cigarettes
Annice Kim, Thomas Miano, Robert Chew, Matthew Eggers, James Nonnemaker
JMIR Public Health Surveill 2017 (Sep 26); 3(3):e63Download Citation: END BibTex RIS