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

JMIR Theme Issue: COVID-19 Special Issue (1661) Hygiene and Infection Prevention (214) Infectious Diseases (non-STD/STI) (1111) Outbreak and Pandemic Preparedness and Management (1252) Participatory Epidemiology and Surveillance (86) Surveillance Systems (293) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1194) Theme Issue: Apps for COVID-19 (#Apps4Covid) (109)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21956, first published .
App-Based Tracking of Self-Reported COVID-19 Symptoms: Analysis of Questionnaire Data

App-Based Tracking of Self-Reported COVID-19 Symptoms: Analysis of Questionnaire Data

App-Based Tracking of Self-Reported COVID-19 Symptoms: Analysis of Questionnaire Data

Authors of this article:

Martin Zens 1 Author Orcid Image ;   Arne Brammertz 2 Author Orcid Image ;   Juliane Herpich 1 Author Orcid Image ;   Norbert Südkamp 3 Author Orcid Image ;   Martin Hinterseer 1 Author Orcid Image
Article Authors Cited by (13) Tweetations (19) Metrics
Martin Zens 1, MD, PhD;  Arne Brammertz 2, Dipl-Vw;  Juliane Herpich 1, MD;  Norbert Südkamp 3*, MD, PhD;  Martin Hinterseer 1*, MD

1 Department of Medicine, Kliniken Ostallgaeu-Kaufbeuren , Fuessen , DE

2 DESIGN-IT GmbH , Frankfurt , DE

3 University Medical Center Freiburg , Freiburg , DE

*these authors contributed equally

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