This paper is in the following e-collection/theme issue:

Infoveillance and Social Listening (244) JMIR Theme Issue: COVID-19 Special Issue (2493) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1530) Outbreak and Pandemic Preparedness and Management (1779) Infectious Diseases (non-STD/STI) (1655) Health and Risk Communication (55) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087) Infodemiology and Infoveillance (1448) Mass Media/Social Media Communication and Campaigns (505)

Published on in Vol 2, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30885, first published .
US Black Maternal Health Advocacy Topics and Trends on Twitter: Temporal Infoveillance Study

US Black Maternal Health Advocacy Topics and Trends on Twitter: Temporal Infoveillance Study

US Black Maternal Health Advocacy Topics and Trends on Twitter: Temporal Infoveillance Study

Authors of this article:

Diana Grigsby-Toussaint1, 2 Author Orcid Image ;   Ashley Champagne3 Author Orcid Image ;   Justin Uhr3 Author Orcid Image ;   Elizabeth Silva2 Author Orcid Image ;   Madeline Noh4 Author Orcid Image ;   Adam Bradley3 Author Orcid Image ;   Patrick Rashleigh3 Author Orcid Image
Article Authors Cited by (3) Tweetations (12) Metrics

Journals

  1. Aruah D, Henshaw Y, Walsh-Childers K. Tweets That Matter: Exploring the Solutions to Maternal Mortality in the United States Discussed by Advocacy Organizations on Twitter. International Journal of Environmental Research and Public Health 2023;20(9):5617 View
  2. Arshad Z, Sharma P, Sharma S, Cheema M, Agarwal C, Tango T, Matin F, Atanasov A, Siddiquea B, Matin M, Adamska O, Stolarczyk A, Kashyap R, Nawaz F. Is global health truly global? A hashtag analysis of #GlobalHealth disparities on X. Frontiers in Public Health 2024;12 View

Conference Proceedings

  1. Zainulabdeen D, Çevik M, Abdulrazzaq M. 2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). A Comparative Study of Classification Algorithms for Sentiment Analysis of Covid-19 Vaccine Opinions Using Machine Learning View