Published on in Vol 6, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33637, first published .
Applying the Health Belief Model to Characterize Racial/Ethnic Differences in Digital Conversations Related to Depression Pre- and Mid-COVID-19: Descriptive Analysis

Applying the Health Belief Model to Characterize Racial/Ethnic Differences in Digital Conversations Related to Depression Pre- and Mid-COVID-19: Descriptive Analysis

Applying the Health Belief Model to Characterize Racial/Ethnic Differences in Digital Conversations Related to Depression Pre- and Mid-COVID-19: Descriptive Analysis

Journals

  1. Han B, Guan H. Associations between new health conditions and healthcare service utilizations among older adults in the United Kingdom: effects of COVID-19 risks, worse financial situation, and lowered income. BMC Geriatrics 2022;22(1) View
  2. Lee E, Agustines D, Woo B. Selection Bias in Digital Conversations on Depression Before and During COVID-19. JMIR Formative Research 2023;7:e42545 View
  3. Shi W, Donovan E, Quaack K, Mackert M, Shaffer A, De Luca D, Nolan-Cody H, Yang J. A Reasoned Action Approach to Social Connection and Mental Health: Racial Group Differences and Similarities in Attitudes, Norms, and Intentions. Health Communication 2023:1 View