Articles published in 2018 in this theme: 46 (scroll down to load remaining articles)
2018
![Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study](https://asset.jmir.pub/assets/thumbs/6a0ff1f7ca0571210472fde8d6f7aec8.png 480w,https://asset.jmir.pub/assets/thumbs/6a0ff1f7ca0571210472fde8d6f7aec8.png 960w,https://asset.jmir.pub/assets/thumbs/6a0ff1f7ca0571210472fde8d6f7aec8.png 1920w,https://asset.jmir.pub/assets/thumbs/6a0ff1f7ca0571210472fde8d6f7aec8.png 2500w)
Canelle Poirier, Audrey Lavenu, Valérie Bertaud, Boris Campillo-Gimenez, Emmanuel Chazard, Marc Cuggia, Guillaume Bouzillé
JMIR Public Health Surveill 2018 (Dec 21); 4(4):e11361Download Citation: END BibTex RIS
![Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis](https://asset.jmir.pub/assets/thumbs/45f6e5208d115285543af51290feb916.png 480w,https://asset.jmir.pub/assets/thumbs/45f6e5208d115285543af51290feb916.png 960w,https://asset.jmir.pub/assets/thumbs/45f6e5208d115285543af51290feb916.png 1920w,https://asset.jmir.pub/assets/thumbs/45f6e5208d115285543af51290feb916.png 2500w)
Tomohiro Aoki, Teppei Suzuki, Ayako Yagahara, Shin Hasegawa, Shintaro Tsuji, Katsuhiko Ogasawara
JMIR Public Health Surveill 2018 (Dec 18); 4(4):e70Download Citation: END BibTex RIS
![Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study](https://asset.jmir.pub/assets/thumbs/76ef29c26e5c2ca7c438033bfedc0dd8.png 480w,https://asset.jmir.pub/assets/thumbs/76ef29c26e5c2ca7c438033bfedc0dd8.png 960w,https://asset.jmir.pub/assets/thumbs/76ef29c26e5c2ca7c438033bfedc0dd8.png 1920w,https://asset.jmir.pub/assets/thumbs/76ef29c26e5c2ca7c438033bfedc0dd8.png 2500w)
Yulin Hswen, John A Naslund, John S Brownstein, Jared B Hawkins
JMIR Ment Health 2018 (Dec 13); 5(4):e11483Download Citation: END BibTex RIS
![Analyzing Twitter as a Platform for Alzheimer-Related Dementia Awareness: Thematic Analyses of Tweets Analyzing Twitter as a Platform for Alzheimer-Related Dementia Awareness: Thematic Analyses of Tweets](https://asset.jmir.pub/assets/thumbs/2d2a30ae6d82b030735b615db95eade5.png 480w,https://asset.jmir.pub/assets/thumbs/2d2a30ae6d82b030735b615db95eade5.png 960w,https://asset.jmir.pub/assets/thumbs/2d2a30ae6d82b030735b615db95eade5.png 1920w,https://asset.jmir.pub/assets/thumbs/2d2a30ae6d82b030735b615db95eade5.png 2500w)
Tiffany Yi-Mei Cheng, Lisa Liu, Benjamin KP Woo
JMIR Aging 2018 (Dec 10); 1(2):e11542Download Citation: END BibTex RIS
![Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram](https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/1719dead16ebae60589807b93cf2101d.png 480w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/1719dead16ebae60589807b93cf2101d.png 960w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/1719dead16ebae60589807b93cf2101d.png 1920w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/1719dead16ebae60589807b93cf2101d.png 2500w)
Benjamin J Ricard, Lisa A Marsch, Benjamin Crosier, Saeed Hassanpour
J Med Internet Res 2018 (Dec 06); 20(12):e11817Download Citation: END BibTex RIS
![Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis](https://asset.jmir.pub/assets/thumbs/3f875a3d9d1e8ad6e3f46cf295af8f60.png 480w,https://asset.jmir.pub/assets/thumbs/3f875a3d9d1e8ad6e3f46cf295af8f60.png 960w,https://asset.jmir.pub/assets/thumbs/3f875a3d9d1e8ad6e3f46cf295af8f60.png 1920w,https://asset.jmir.pub/assets/thumbs/3f875a3d9d1e8ad6e3f46cf295af8f60.png 2500w)
Christopher Tufts, Daniel Polsky, Kevin G Volpp, Peter W Groeneveld, Lyle Ungar, Raina M Merchant, Arthur P Pelullo
JMIR Public Health Surveill 2018 (Dec 06); 4(4):e10834Download Citation: END BibTex RIS
![Novel Approach to Cluster Patient-Generated Data Into Actionable Topics: Case Study of a Web-Based Breast Cancer Forum Novel Approach to Cluster Patient-Generated Data Into Actionable Topics: Case Study of a Web-Based Breast Cancer Forum](https://asset.jmir.pub/assets/thumbs/ad300db9ad9c347979c1d1c4eef801d8.png 480w,https://asset.jmir.pub/assets/thumbs/ad300db9ad9c347979c1d1c4eef801d8.png 960w,https://asset.jmir.pub/assets/thumbs/ad300db9ad9c347979c1d1c4eef801d8.png 1920w,https://asset.jmir.pub/assets/thumbs/ad300db9ad9c347979c1d1c4eef801d8.png 2500w)
Josette Jones, Meeta Pradhan, Masoud Hosseini, Anand Kulanthaivel, Mahmood Hosseini
JMIR Med Inform 2018 (Nov 29); 6(4):e45Download Citation: END BibTex RIS
![Dynamics of Health Agency Response and Public Engagement in Public Health Emergency: A Case Study of CDC Tweeting Patterns During the 2016 Zika Epidemic Dynamics of Health Agency Response and Public Engagement in Public Health Emergency: A Case Study of CDC Tweeting Patterns During the 2016 Zika Epidemic](https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/8bcaaec81e8e058820ce9c3ed7da226a.png 480w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/8bcaaec81e8e058820ce9c3ed7da226a.png 960w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/8bcaaec81e8e058820ce9c3ed7da226a.png 1920w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/8bcaaec81e8e058820ce9c3ed7da226a.png 2500w)
Shi Chen, Qian Xu, John Buchenberger, Arunkumar Bagavathi, Gabriel Fair, Samira Shaikh, Siddharth Krishnan
JMIR Public Health Surveill 2018 (Nov 22); 4(4):e10827Download Citation: END BibTex RIS
![How Twitter Can Support the HIV/AIDS Response to Achieve the 2030 Eradication Goal: In-Depth Thematic Analysis of World AIDS Day Tweets How Twitter Can Support the HIV/AIDS Response to Achieve the 2030 Eradication Goal: In-Depth Thematic Analysis of World AIDS Day Tweets](https://asset.jmir.pub/assets/thumbs/6fe72916ac2388cfca14fef7cabec338.png 480w,https://asset.jmir.pub/assets/thumbs/6fe72916ac2388cfca14fef7cabec338.png 960w,https://asset.jmir.pub/assets/thumbs/6fe72916ac2388cfca14fef7cabec338.png 1920w,https://asset.jmir.pub/assets/thumbs/6fe72916ac2388cfca14fef7cabec338.png 2500w)
Michelle Odlum, Sunmoo Yoon, Peter Broadwell, Russell Brewer, Da Kuang
JMIR Public Health Surveill 2018 (Nov 22); 4(4):e10262Download Citation: END BibTex RIS
![Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification](https://asset.jmir.pub/assets/thumbs/cdac13ae224fe5060d6c20ff89c879d7.png 480w,https://asset.jmir.pub/assets/thumbs/cdac13ae224fe5060d6c20ff89c879d7.png 960w,https://asset.jmir.pub/assets/thumbs/cdac13ae224fe5060d6c20ff89c879d7.png 1920w,https://asset.jmir.pub/assets/thumbs/cdac13ae224fe5060d6c20ff89c879d7.png 2500w)
Youshan Zhang, Jon-Patrick Allem, Jennifer Beth Unger, Tess Boley Cruz
J Med Internet Res 2018 (Nov 21); 20(11):e10513Download Citation: END BibTex RIS
![Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis](https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/496cd17004003ed7c0e56bfee251c88e.png 480w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/496cd17004003ed7c0e56bfee251c88e.png 960w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/496cd17004003ed7c0e56bfee251c88e.png 1920w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/496cd17004003ed7c0e56bfee251c88e.png 2500w)
Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis
Marie-Laure Kürzinger, Stéphane Schück, Nathalie Texier, Redhouane Abdellaoui, Carole Faviez, Julie Pouget, Ling Zhang, Stéphanie Tcherny-Lessenot, Stephen Lin, Juhaeri Juhaeri
J Med Internet Res 2018 (Nov 20); 20(11):e10466Download Citation: END BibTex RIS
![Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis](https://asset.jmir.pub/assets/thumbs/5dcd4b2314eb5b8fe0bd13c35f6f1994.png 480w,https://asset.jmir.pub/assets/thumbs/5dcd4b2314eb5b8fe0bd13c35f6f1994.png 960w,https://asset.jmir.pub/assets/thumbs/5dcd4b2314eb5b8fe0bd13c35f6f1994.png 1920w,https://asset.jmir.pub/assets/thumbs/5dcd4b2314eb5b8fe0bd13c35f6f1994.png 2500w)
Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis
Jon-Patrick Allem, Likhit Dharmapuri, Adam M Leventhal, Jennifer B Unger, Tess Boley Cruz
J Med Internet Res 2018 (Nov 19); 20(11):e11669Download Citation: END BibTex RIS
![Identifying and Understanding Communities Using Twitter to Connect About Depression: Cross-Sectional Study Identifying and Understanding Communities Using Twitter to Connect About Depression: Cross-Sectional Study](https://asset.jmir.pub/assets/thumbs/f6a335d316ae4c795405f1640055e57c.png 480w,https://asset.jmir.pub/assets/thumbs/f6a335d316ae4c795405f1640055e57c.png 960w,https://asset.jmir.pub/assets/thumbs/f6a335d316ae4c795405f1640055e57c.png 1920w,https://asset.jmir.pub/assets/thumbs/f6a335d316ae4c795405f1640055e57c.png 2500w)
Amber D. DeJohn, Emily English Schulz, Amber L Pearson, E Megan Lachmar, Andrea K Wittenborn
JMIR Ment Health 2018 (Nov 05); 5(4):e61Download Citation: END BibTex RIS
![Using Twitter to Examine Web-Based Patient Experience Sentiments in the United States: Longitudinal Study Using Twitter to Examine Web-Based Patient Experience Sentiments in the United States: Longitudinal Study](https://asset.jmir.pub/assets/thumbs/3710ecdbaa7276ef8b0b31bcfd9a6a43.png 480w,https://asset.jmir.pub/assets/thumbs/3710ecdbaa7276ef8b0b31bcfd9a6a43.png 960w,https://asset.jmir.pub/assets/thumbs/3710ecdbaa7276ef8b0b31bcfd9a6a43.png 1920w,https://asset.jmir.pub/assets/thumbs/3710ecdbaa7276ef8b0b31bcfd9a6a43.png 2500w)
Kara C Sewalk, Gaurav Tuli, Yulin Hswen, John S Brownstein, Jared B Hawkins
J Med Internet Res 2018 (Oct 12); 20(10):e10043Download Citation: END BibTex RIS
![Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study](https://asset.jmir.pub/assets/thumbs/5d1c1c0fd6008bd7a5e960e28aaca52f.png 480w,https://asset.jmir.pub/assets/thumbs/5d1c1c0fd6008bd7a5e960e28aaca52f.png 960w,https://asset.jmir.pub/assets/thumbs/5d1c1c0fd6008bd7a5e960e28aaca52f.png 1920w,https://asset.jmir.pub/assets/thumbs/5d1c1c0fd6008bd7a5e960e28aaca52f.png 2500w)
Shoko Wakamiya, Yukiko Kawai, Eiji Aramaki
JMIR Public Health Surveill 2018 (Sep 25); 4(3):e65Download Citation: END BibTex RIS
![Sudden Infant Death Syndrome and Safe Sleep on Twitter: Analysis of Influences and Themes to Guide Health Promotion Efforts Sudden Infant Death Syndrome and Safe Sleep on Twitter: Analysis of Influences and Themes to Guide Health Promotion Efforts](https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/3ee91ecfb473f6ff0ba6f5fd851095fb.png 480w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/3ee91ecfb473f6ff0ba6f5fd851095fb.png 960w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/3ee91ecfb473f6ff0ba6f5fd851095fb.png 1920w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/3ee91ecfb473f6ff0ba6f5fd851095fb.png 2500w)
Kelly A Pretorius, Michael Mackert, Gary B Wilcox
JMIR Pediatr Parent 2018 (Sep 07); 1(2):e10435Download Citation: END BibTex RIS
![Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models](https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/9e59c8156cda79205dd859548385f30f.png 480w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/9e59c8156cda79205dd859548385f30f.png 960w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/9e59c8156cda79205dd859548385f30f.png 1920w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/9e59c8156cda79205dd859548385f30f.png 2500w)
Jingcheng Du, Lu Tang, Yang Xiang, Degui Zhi, Jun Xu, Hsing-Yi Song, Cui Tao
J Med Internet Res 2018 (Jul 09); 20(7):e236Download Citation: END BibTex RIS
![Identifying Methods for Monitoring Foodborne Illness: Review of Existing Public Health Surveillance Techniques Identifying Methods for Monitoring Foodborne Illness: Review of Existing Public Health Surveillance Techniques](https://asset.jmir.pub/assets/thumbs/6fce3037b934ea643b652a6a98d7a861.png 480w,https://asset.jmir.pub/assets/thumbs/6fce3037b934ea643b652a6a98d7a861.png 960w,https://asset.jmir.pub/assets/thumbs/6fce3037b934ea643b652a6a98d7a861.png 1920w,https://asset.jmir.pub/assets/thumbs/6fce3037b934ea643b652a6a98d7a861.png 2500w)
Rachel A Oldroyd, Michelle A Morris, Mark Birkin
JMIR Public Health Surveill 2018 (Jun 06); 4(2):e57Download Citation: END BibTex RIS
Yvonne CM Staal, Suzanne van de Nobelen, Anne Havermans, Reinskje Talhout
JMIR Public Health Surveill 2018 (May 28); 4(2):e55Download Citation: END BibTex RIS