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

JMIR Theme Issue: COVID-19 Special Issue (2240) Hygiene and Infection Prevention (260) Infectious Diseases (non-STD/STI) (1288) Outbreak and Pandemic Preparedness and Management (1529) Participatory Epidemiology and Surveillance (96) Surveillance Systems (389) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1385) Theme Issue: Apps for COVID-19 (#Apps4Covid) (122)

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 (54) Tweetations (20) 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, Germany

2 DESIGN-IT GmbH, Frankfurt, Germany

3 University Medical Center Freiburg, Freiburg, Germany

*these authors contributed equally

Corresponding Author: