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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) JMIR Theme Issue: COVID-19 Special Issue (2394) Outbreak and Pandemic Preparedness and Management (1679) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138) Text-messaging (SMS, WeChat etc)-Based Interventions (624) Innovative Methods in Public Health and Surveillance (307) Participatory Epidemiology and Surveillance (107) Infectious Diseases (non-STD/STI) (1490) Public (e)Health, Digital Epidemiology and Public Health Informatics (646) Cross-Sectional Studies in Public Health (210) Surveillance Systems (430)

Published on in Vol 8, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32680, first published .
An Evaluation of the Text Illness Monitoring (TIM) Platform for COVID-19: Cross-sectional Online Survey of Public Health Users

An Evaluation of the Text Illness Monitoring (TIM) Platform for COVID-19: Cross-sectional Online Survey of Public Health Users

An Evaluation of the Text Illness Monitoring (TIM) Platform for COVID-19: Cross-sectional Online Survey of Public Health Users

Authors of this article:

Heather A Joseph1 Author Orcid Image ;   Susan Z Ingber2 Author Orcid Image ;   Chelsea Austin3 Author Orcid Image ;   Caroline Westnedge4 Author Orcid Image ;   F V Strona5 Author Orcid Image ;   Leslie Lee6 Author Orcid Image ;   Ami B Shah4 Author Orcid Image ;   Lauren Roper6 Author Orcid Image ;   Anita Patel6 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

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  2. Helms Y, Stein M, Hamdiui N, van der Meer A, Ferreira J, Crutzen R, Timen A, Kretzschmar M, Ayatollahi H. Determinants of Dutch public health professionals’ intention to use digital contact tracing support tools: A cross-sectional online questionnaire study. PLOS Digital Health 2024;3(2):e0000425 View