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  • LATEST MANUSCRIPTS IN JMIR Infodemiology
  • Harshita Chopra, Aniket Vashishtha, Ridam Pal, , Ananya Tyagi, Tavpritesh Sethi. Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study. JMIR infodemiology. 2023, 3: e34315
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  • Samaneh Omranian, Maryam Zolnoori, Ming Huang, Celeste Campos-Castillo, Susan McRoy. Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media. JMIR infodemiology. 2023, 3: e37207
    Cited : 1
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  • Melissa C Eaton, Yasmine C Probst, Marc A Smith. Characterizing the Discourse of Popular Diets to Describe Information Dispersal and Identify Leading Voices, Interaction, and Themes of Mental Health: Social Network Analysis. JMIR infodemiology. 2023, 3: e38245
    Cited : 3
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  • Anjana E Sharma, Kiran Khosla, Kameswari Potharaju, Arnab Mukherjea, Urmimala Sarkar. COVID-19-Associated Misinformation Across the South Asian Diaspora: Qualitative Study of WhatsApp Messages. JMIR infodemiology. 2023, 3: e38607
    Cited : 2
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  • Haley Stone, David Heslop, Samsung Lim, Ines Sarmiento, Mohana Kunasekaran, C Raina MacIntyre. Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study. JMIR infodemiology. 2023, 3: e39895
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  • Memphis Long, Laura E Forbes, Petros Papagerakis, Jessica R L Lieffers. YouTube Videos on Nutrition and Dental Caries: Content Analysis. JMIR infodemiology. 2023, 3: e40003
    Cited : 3
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  • Catherine Pollack, Diane Gilbert-Diamond, Tracy Onega, Soroush Vosoughi, A James O'Malley, Jennifer A Emond. Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation. JMIR infodemiology. 2023, 3: e40005
    Cited : 2
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  • Natalie A Squires, Elizabeth Soyemi, Lynn M Yee, Eleanor M Birch, Nevert Badreldin. Content Quality of YouTube Videos About Pain Management After Cesarean Birth: Content Analysis. JMIR infodemiology. 2023, 3: e40802
    Cited : 1
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  • Zihe Zheng, Zidian Xie, Maciej Goniewicz, Irfan Rahman, Dongmei Li. Potential Impact of the COVID-19 Pandemic on Public Perception of Water Pipes on Reddit: Observational Study. JMIR infodemiology. 2023, 3: e40913
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  • Husayn Marani, Melodie Yunju Song, Margaret Jamieson, Monika Roerig, Sara Allin. Public Officials' Engagement on Social Media During the Rollout of the COVID-19 Vaccine: Content Analysis of Tweets. JMIR infodemiology. 2023, 3: e41582
    Cited : 2
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  • Claire Harter, Marina Ness, Aleah Goldin, Christine Lee, Christine Merenda, Anne Riberdy, Anindita Saha, Richardae Araojo, Michelle Tarver. Exploring Chronic Pain and Pain Management Perspectives: Qualitative Pilot Analysis of Web-Based Health Community Posts. JMIR infodemiology. 2023, 3: e41672
    Cited : 3
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  • Carole Faviez, Manissa Talmatkadi, Pierre Foulquié, Adel Mebarki, Stéphane Schück, Anita Burgun, Xiaoyi Chen. Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study. JMIR infodemiology. 2023, 3: e41863
    Cited : 2
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  • Dhiraj Murthy, Juhan Lee, Hassan Dashtian, Grace Kong. Influence of User Profile Attributes on e-Cigarette-Related Searches on YouTube: Machine Learning Clustering and Classification. JMIR infodemiology. 2023, 3: e42218
    Cited : 4
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  • Isha Nair, Sophia P Patel, Ashley Bolen, Samantha Roger, Kayla Bucci, Laura Schwab-Reese, Andrea L DeMaria. Reproductive Health Experiences Shared on TikTok by Young People: Content Analysis. JMIR infodemiology. 2023, 3: e42810
    Cited : 3
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  • Pritam Dasgupta, Janaki Amin, Cecile Paris, C Raina MacIntyre. News Coverage of Face Masks in Australia During the Early COVID-19 Pandemic: Topic Modeling Study. JMIR infodemiology. 2023, 3: e43011
    Cited : 0
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