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

Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) JMIR Theme Issue: COVID-19 Special Issue (2554) Ecological Momentary Assessment (EMA) (405) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) mHealth for Data Collection and Research (1196) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions 2023 (409) Cross-Sectional Studies in Public Health (431) New Methods (1134) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26743, first published .
Using Ecological Momentary Assessment to Study the Development of COVID-19 Worries in Sweden: Longitudinal Study

Using Ecological Momentary Assessment to Study the Development of COVID-19 Worries in Sweden: Longitudinal Study

Using Ecological Momentary Assessment to Study the Development of COVID-19 Worries in Sweden: Longitudinal Study

Authors of this article:

Peter Johannes Schulz1 Author Orcid Image ;   Elin M Andersson2 Author Orcid Image ;   Nicole Bizzotto1 Author Orcid Image ;   Margareta Norberg3 Author Orcid Image
Article Authors Cited by (7) Tweetations (6) Metrics

Journals

  1. Andersson E, Norberg M. Reactions for actions? Trust in protective behaviors and safeguarding measures in the early phase of the Covid-19 pandemic in Sweden. Preventive Medicine Reports 2023;32:102133 View
  2. Ali N, Rosenberg D. Mixed and worried? Examining the association between locality type and worrying about social phenomena in Arab citizens of Israel. Journal of Risk Research 2023;26(9):1006 View
  3. Catalan A, Tognin S, Hammoud R, Aymerich C, Pedruzo B, Bilbao-Gonzalez A, Salazar de Pablo G, Pacho M, Fusar-Poli P, Gonzalez-Torres M. Understanding the relationship between time spent outdoors, mental well-being and health-related behaviours in a Spanish sample: A real time smartphone-based study. Psychiatry Research 2023;329:115494 View
  4. Janzik R, Borzekowski D, Böl G. Investigating seasonal changes in factors associated with COVID-19 concerns: Results from a serial cross-sectional survey study in Germany between 2020 and 2023. Frontiers in Public Health 2024;12 View
  5. Wu H, Xu J. Digital Economy and Multidimensional Capital in Rural Development: A Study of China's Provinces (2012–2021). International Journal of Low-Carbon Technologies 2025;20:555 View
  6. Fkih F, Rhouma D, Alharbi T. Mental disorder preventing by worry levels detection in social media using deep learning based on psycho-linguistic features: application on the COVID-19 lockdown period. Computers in Biology and Medicine 2025;191:110162 View
  7. Ou Y, de Bruijn G, Schulz P. Social Media as an Emotional Barometer: Bidirectional Encoder Representations From Transformers–Long Short-Term Memory Sentiment Analysis on the Evolution of Public Sentiments During Influenza A on Sina Weibo. Journal of Medical Internet Research 2025;27:e68205 View