Cargando…

Using Social Media to Track Geographic Variability in Language About Diabetes: Infodemiology Analysis

BACKGROUND: Social media posts about diabetes could reveal patients’ knowledge, attitudes, and beliefs as well as approaches for better targeting of public health messages and care management. OBJECTIVE: This study aimed to characterize the language of Twitter users’ posts regarding diabetes and des...

Descripción completa

Detalles Bibliográficos
Autores principales:	Griffis, Heather, Asch, David A, Schwartz, H Andrew, Ungar, Lyle, Buttenheim, Alison M, Barg, Frances K, Mitra, Nandita, Merchant, Raina M
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2020
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055793/ https://www.ncbi.nlm.nih.gov/pubmed/32044757 http://dx.doi.org/10.2196/14431

Ejemplares similares

Effect of Posting on Social Media on Systolic Blood Pressure and Management of Hypertension: A Randomized Controlled Trial
por: Mancheno, Christina, et al.
Publicado: (2021)

Content Analysis of Metaphors About Hypertension and Diabetes on Twitter: Exploratory Mixed-Methods Study
por: Sinnenberg, Lauren, et al.
Publicado: (2018)

Social media language of healthcare super-utilizers
por: Guntuku, Sharath Chandra, et al.
Publicado: (2021)

Variability in Language used on Social Media prior to Hospital Visits
por: Guntuku, Sharath Chandra, et al.
Publicado: (2020)

Author Correction: Variability in Language used on Social Media Prior to Hospital Visits
por: Guntuku, Sharath Chandra, et al.
Publicado: (2020)

Twitter discourse reveals geographical and temporal variation in concerns about COVID-19 vaccines in the United States
por: Guntuku, Sharath Chandra, et al.
Publicado: (2021)

Studying social media language changes associated with pregnancy status, trimester, and parity from medical records
por: Guntuku, Sharath Chandra, et al.
Publicado: (2020)

Facebook language predicts depression in medical records
por: Eichstaedt, Johannes C., et al.
Publicado: (2018)

Evaluating the predictability of medical conditions from social media posts
por: Merchant, Raina M., et al.
Publicado: (2019)

Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models
por: Andy, Anietie U, et al.
Publicado: (2021)

Opioid death projections with AI-based forecasts using social media language
por: Matero, Matthew, et al.
Publicado: (2023)

Reddit language indicates changes associated with diet, physical activity, substance use, and smoking during COVID-19
por: Wanchoo, Karan, et al.
Publicado: (2023)

Author Correction: Opioid death projections with AI-based forecasts using social media language
por: Matero, Matthew, et al.
Publicado: (2023)

Geographic Differences in Cannabis Conversations on Twitter: Infodemiology Study
por: van Draanen, Jenna, et al.
Publicado: (2020)

Latent human traits in the language of social media: An open-vocabulary approach
por: Kulkarni, Vivek, et al.
Publicado: (2018)

Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods
por: Jaidka, Kokil, et al.
Publicado: (2020)

Tracking COVID-19 in Europe: Infodemiology Approach
por: Mavragani, Amaryllis
Publicado: (2020)

Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study
por: Tan, Edina YQ, et al.
Publicado: (2021)

Use of Social Media Across US Hospitals: Descriptive Analysis of Adoption and Utilization
por: Griffis, Heather M, et al.
Publicado: (2014)

Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study
por: Smith, Robert J, et al.
Publicado: (2017)

Tracking Mental Health and Symptom Mentions on Twitter During COVID-19
por: Guntuku, Sharath Chandra, et al.
Publicado: (2020)

Natural Supplements for H1N1 Influenza: Retrospective Observational Infodemiology Study of Information and Search Activity on the Internet
por: Hill, Shawndra, et al.
Publicado: (2011)

Consumer Trust in Public and Private Organizations to Use Their Digital Data for COVID-19 Control
por: Grande, David, et al.
Publicado: (2021)

Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis
por: Tufts, Christopher, et al.
Publicado: (2018)

The language of character strengths: Predicting morally valued traits on social media
por: Pang, Dandan, et al.
Publicado: (2019)

Using Twitter to Measure Public Discussion of Diseases: A Case Study
por: Weeg, Christopher, et al.
Publicado: (2015)

Tracking Self-reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study
por: Ding, Qinglan, et al.
Publicado: (2021)

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
por: Schwartz, H. Andrew, et al.
Publicado: (2013)

Consumer Willingness to Share Personal Digital Information for Health-Related Uses
por: Grande, David, et al.
Publicado: (2022)

Consumer Views on Using Digital Data for COVID-19 Control in the United States
por: Grande, David, et al.
Publicado: (2021)

Consumer Confidence in Public and Private Organizations to Use Their Digital Health Data Responsibly
por: Gupta, Ravi, et al.
Publicado: (2022)

Twitter Sentiment Predicts Affordable Care Act Marketplace Enrollment
por: Wong, Charlene A, et al.
Publicado: (2015)

Public Opinions Toward Diseases: Infodemiological Study on News Media Data
por: Huang, Ming, et al.
Publicado: (2018)

Consumer Views on Privacy Protections and Sharing of Personal Digital Health Information
por: Gupta, Ravi, et al.
Publicado: (2023)

Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study
por: Pollack, Catherine C, et al.
Publicado: (2021)

Association Between Crowdsourced Health Care Facility Ratings and Mortality in US Counties
por: Stokes, Daniel C., et al.
Publicado: (2021)

Understanding Public Perceptions of Per- and Polyfluoroalkyl Substances: Infodemiology Study of Social Media
por: Tian, Hao, et al.
Publicado: (2022)

Ethical principles for infodemiology and infoveillance studies concerning infodemic management on social media
por: Lotto, Matheus, et al.
Publicado: (2023)

Assessment of Health Information About COVID-19 Prevention on the Internet: Infodemiological Study
por: Hernández-García, Ignacio, et al.
Publicado: (2020)

Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis
por: Turner, Jason, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_h5p9hued4e4rbfcpnudic7vqtb