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

Telehealth and Telemonitoring (1671) Pulmonology, COPD (143) Quantified Self and Wellness (77) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) Patient-Reported Outcome Measures (PROMs) (288) Chronic Conditions (270)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22567, first published .
Revealing the Nature of Chronic Obstructive Pulmonary Disease Using Self-tracking and Analysis of Contact Patterns: Longitudinal Study

Revealing the Nature of Chronic Obstructive Pulmonary Disease Using Self-tracking and Analysis of Contact Patterns: Longitudinal Study

Revealing the Nature of Chronic Obstructive Pulmonary Disease Using Self-tracking and Analysis of Contact Patterns: Longitudinal Study

Authors of this article:

Klaus Phanareth1 Author Orcid Image ;   Astrid Laura Dam2 Author Orcid Image ;   Martin A B C Hansen1 Author Orcid Image ;   Signe Lindskrog2 Author Orcid Image ;   Søren Vingtoft3 Author Orcid Image ;   Lars Kayser2 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Klaus Phanareth   1 , MD, PhD ;   Astrid Laura Dam   2 , BSc ;   Martin A B C Hansen   1 ;   Signe Lindskrog   2 , MSc ;   Søren Vingtoft   3 , MD ;   Lars Kayser   2 , MD, PhD

1 Epital Health, Gentofte, Denmark

2 Department of Public Health, University of Copenhagen, Copenhagen, Denmark

3 Region Zealand, Sorø, Denmark

Corresponding Author:

  • Lars Kayser, MD, PhD
  • Department of Public Health
  • University of Copenhagen
  • Øster Farimagsgade 5
  • Copenhagen, 1353
  • Denmark
  • Phone: 45 26822657
  • Email: lk@sund.ku.dk