Misinformation and Disinformation Outbreaks and Information Prevalence Studies
View E-collection for ‘Misinformation and Disinformation Outbreaks and Information Prevalence Studies’
Jonathan Matias Chejfec-Ciociano, Juan Pablo Martínez-Herrera, Alexa Darianna Parra-Guerra, Ricardo Chejfec, Francisco José Barbosa-Camacho, Juan Carlos Ibarrola-Peña, Gabino Cervantes-Guevara, Guillermo Alonso Cervantes-Cardona, Clotilde Fuentes-Orozco, Enrique Cervantes-Pérez, Benjamín García-Reyna, Alejandro González-Ojeda
JMIR Infodemiology 2022 (Jan 27); 2(1):e29894Download Citation: END BibTex RIS

Emily Chen, Julie Jiang, Ho-Chun Herbert Chang, Goran Muric, Emilio Ferrara
JMIR Infodemiology 2022 (Feb 08); 2(1):e32378Download Citation: END BibTex RIS

Hannah Stevens, Nicholas A Palomares
JMIR Infodemiology 2022 (Feb 10); 2(1):e29246Download Citation: END BibTex RIS

Sarah Kreps, Julie George, Noah Watson, Gloria Cai, Keyi Ding
JMIR Infodemiology 2022 (Feb 24); 2(1):e31793Download Citation: END BibTex RIS

COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis
Emma K Quinn, Shelby Fenton, Chelsea A Ford-Sahibzada, Andrew Harper, Alessandro R Marcon, Timothy Caulfield, Sajjad S Fazel, Cheryl E Peters
JMIR Infodemiology 2022 (Mar 14); 2(1):e32452Download Citation: END BibTex RIS
Health and Risk Communication
View E-collection for ‘Health and Risk Communication’
May O Lwin, Anita Sheldenkar, Jiahui Lu, Peter Johannes Schulz, Wonsun Shin, Chitra Panchapakesan, Raj Kumar Gupta, Yinping Yang
JMIR Infodemiology 2022 (Feb 10); 2(1):e31473Download Citation: END BibTex RIS

Frankie Ho Chun Wong, Dara Kiu Yi Leung, Edwin Lok Yan Wong, Tianyin Liu, Shiyu Lu, On Fung Chan, Gloria Hoi Yan Wong, Terry Yat Sang Lum
JMIR Infodemiology 2022 (Feb 25); 2(1):e33029Download Citation: END BibTex RIS

Michael S Deiner, Gerami D Seitzman, Gurbani Kaur, Stephen D McLeod, James Chodosh, Thomas M Lietman, Travis C Porco
JMIR Infodemiology 2022 (Mar 16); 2(1):e31732Download Citation: END BibTex RIS

Christopher Marshall, Kate Lanyi, Rhiannon Green, Georgina C Wilkins, Fiona Pearson, Dawn Craig
JMIR Infodemiology 2022 (Mar 31); 2(1):e32449Download Citation: END BibTex RIS
Editorial
View E-collection for ‘Editorial’
Advancing Infodemiology in a Digital Intensive Era
Tim Mackey, Cynthia Baur, Gunther Eysenbach
JMIR Infodemiology 2022 (Feb 14); 2(1):e37115Download Citation: END BibTex RIS
Vaccination Sentiment and Anti-Vaccination Infodemiology
View E-collection for ‘Vaccination Sentiment and Anti-Vaccination Infodemiology’
Eden Engel-Rebitzer, Daniel C Stokes, Zachary F Meisel, Jonathan Purtle, Rebecca Doyle, Alison M Buttenheim
JMIR Infodemiology 2022 (Feb 18); 2(1):e32372Download Citation: END BibTex RIS

Alec J Calac, Michael R Haupt, Zhuoran Li, Tim Mackey
JMIR Infodemiology 2022 (Mar 16); 2(1):e33587Download Citation: END BibTex RIS

Ranganathan Chandrasekaran, Rashi Desai, Harsh Shah, Vivek Kumar, Evangelos Moustakas
JMIR Infodemiology 2022 (Apr 15); 2(1):e33909Download Citation: END BibTex RIS
Infoveillance and Social Listening
View E-collection for ‘Infoveillance and Social Listening’
Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study
Sara Santarossa, Ashley Rapp, Saily Sardinas, Janine Hussein, Alex Ramirez, Andrea E Cassidy-Bushrow, Philip Cheng, Eunice Yu
JMIR Infodemiology 2022 (Feb 22); 2(1):e31259Download Citation: END BibTex RIS

US Black Maternal Health Advocacy Topics and Trends on Twitter: Temporal Infoveillance Study
Diana Grigsby-Toussaint, Ashley Champagne, Justin Uhr, Elizabeth Silva, Madeline Noh, Adam Bradley, Patrick Rashleigh
JMIR Infodemiology 2022 (Apr 20); 2(1):e30885Download Citation: END BibTex RIS

Jesus Trevino, Sanjeev Malik, Michael Schmidt
JMIR Infodemiology 2022 (Apr 22); 2(1):e32386Download Citation: END BibTex RIS

Qing Xu, Matthew C Nali, Tiana McMann, Hector Godinez, Jiawei Li, Yifan He, Mingxiang Cai, Christine Lee, Christine Merenda, Richardae Araojo, Tim Ken Mackey
JMIR Infodemiology 2022 (Apr 28); 2(1):e35446Download Citation: END BibTex RIS
Data Sources and Open Data for Infodemiology
View E-collection for ‘Data Sources and Open Data for Infodemiology’
Niloofar Jalali, N Ken Tran, Anindya Sen, Plinio Pelegrini Morita
JMIR Infodemiology 2022 (Mar 03); 2(1):e31813Download Citation: END BibTex RIS
Infodemic Management
View E-collection for ‘Infodemic Management’
Ehsan Mohammadi, Iman Tahamtan, Yazdan Mansourian, Holly Overton
JMIR Infodemiology 2022 (Apr 13); 2(1):e33827Download Citation: END BibTex RIS
Viewpoints
View E-collection for ‘Viewpoints’
Ramona Kyabaggu, Deneice Marshall, Patience Ebuwei, Uche Ikenyei
JMIR Infodemiology 2022 (Apr 28); 2(1):e35014Download Citation: END BibTex RIS