Prevalence of Positive COVID-19 Test Results Collected by Digital Self-report in the US and Germany

Abstract

Since the beginning of the COVID-19 pandemic, official case numbers, typically collected in health care settings, have been a guideline for public health policies. As rapid home testing has become increasingly available, more people have been able to self-diagnose SARS-CoV-2 infections at home, which is not typically counted in official statistics. Here, we aimed to evaluate the agreement and discuss potential sources of deviation between traditional surveillance and self-reported COVID-19 test result data collected from independent smartphone app–based studies in the US and Germany.

Publication
JAMA Network Open
Jakob Kolb
Alumnus

Ex-academic, now focused on well tested, maintainable and scalable applications.

Annika Rose
Annika Rose
PhD Student
Marc Wiedermann
Alumnus

Researcher and Data Scientist with strong interests in time series and network analysis, predictive models and low-dimensional dynamical systems for the spread of human behavior.