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

JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (371) JMIR Theme Issue: COVID-19 Special Issue (2388) Depression and Mood Disorders; Suicide Prevention (1273) Outbreak and Pandemic Preparedness and Management (1673) Infectious Diseases (non-STD/STI) (1480) Anxiety and Stress Disorders (1002) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (783) Mass Media/Social Media Communication and Campaigns (446)

Published on in Vol 8, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27140, first published .
Indications of Depressive Symptoms During the COVID-19 Pandemic in Germany: Comparison of National Survey and Twitter Data

Indications of Depressive Symptoms During the COVID-19 Pandemic in Germany: Comparison of National Survey and Twitter Data

Indications of Depressive Symptoms During the COVID-19 Pandemic in Germany: Comparison of National Survey and Twitter Data

Authors of this article:

Caroline Cohrdes1 Author Orcid Image ;   Seren Yenikent2 Author Orcid Image ;   Jiawen Wu2 Author Orcid Image ;   Bilal Ghanem2 Author Orcid Image ;   Marc Franco-Salvador2 Author Orcid Image ;   Felicitas Vogelgesang1 Author Orcid Image
Article Authors Cited by (8) Tweetations (4) Metrics

Journals

  1. Hossin M, Chen L, Hosain M, Asante I. Does COVID-19 Fear Induce Employee Innovation Performance Deficiency? Examining the Mediating Role of Psychological Stress and Moderating Role of Organizational Career Support. International Journal of Environmental Research and Public Health 2022;19(16):10422 View
  2. Sarfraz M, Ji X, Asghar M, Ivascu L, Ozturk I. Signifying the Relationship between Fear of COVID-19, Psychological Concerns, Financial Concerns and Healthcare Employees Job Performance: A Mediated Model. International Journal of Environmental Research and Public Health 2022;19(5):2657 View
  3. Altinok K, Erdsiek F, Yilmaz-Aslan Y, Brzoska P. Expectations, concerns and experiences of rehabilitation patients during the COVID-19 pandemic in Germany: a qualitative analysis of online forum posts. BMC Health Services Research 2021;21(1) View
  4. Zhang C, Wang S, Tjong Kim Sang E, Adriaanse M, Tummers L, Schraagen M, Qi J, Dastani M, Aarts H. Spatiotemporal variations of public opinion on social distancing in the Netherlands: Comparison of Twitter and longitudinal survey data. Frontiers in Public Health 2022;10 View
  5. Tanner A, Di Cara N, Maggio V, Thomas R, Boyd A, Sloan L, Al Baghal T, Macleod J, Haworth C, Davis O. Epicosm—a framework for linking online social media in epidemiological cohorts. International Journal of Epidemiology 2023;52(3):952 View
  6. Beierle F, Pryss R, Aizawa A. Sentiments about Mental Health on Twitter—Before and during the COVID-19 Pandemic. Healthcare 2023;11(21):2893 View
  7. Clark E, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e49185 View

Books/Policy Documents

  1. Thakur N, Cho H, Cheng H, Lee H. HCI International 2023 – Late Breaking Papers. View