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](https://asset.jmir.pub/assets/e673f0a0edc77c075b157803a8b95593.png 480w,https://asset.jmir.pub/assets/e673f0a0edc77c075b157803a8b95593.png 960w,https://asset.jmir.pub/assets/e673f0a0edc77c075b157803a8b95593.png 1920w,https://asset.jmir.pub/assets/e673f0a0edc77c075b157803a8b95593.png 2500w)
Journals
- 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
- 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
- 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
- Anderson A, Pesa J, Choudhry Z, Brethenoux C, Furey P, Jackson L, Valleta L, Quijano L, Lorenzo A. Patient perceptions of disease burden and treatment of myasthenia gravis based on sentiment analysis of digital conversations. Scientific Reports 2024;14(1) View