S. Rudolph

The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond

C. von Kalle, K. Heitmann, S. Thun, 2020, BMC Medical Informatics and Decision Making.

The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond

C. von Kalle, K. Heitmann, S. Thun, 2020, BMC Medical Informatics and Decision Making.

The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics

Lennart M. Reinke, Sonja Kunze, C. von Kalle, 2022, European Journal of Epidemiology.

The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond

C. von Kalle, J. Sass, A. Bartschke, 2020, BMC Medical Informatics and Decision Making.

Persistent symptoms and risk factors predicting prolonged time to symptom-free after SARS‑CoV‑2 infection: an analysis of the baseline examination of the German COVIDOM/NAPKON-POP cohort

Sonja Kunze, S. Ugurel, R. Strobl, 2023, Infection.

Interoperable, Domain-Specific Extensions for the German Corona Consensus (GECCO) COVID-19 Research Data Set Using an Interdisciplinary, Consensus-Based Workflow: Data Set Development Study.

C. von Kalle, S. Thun, M. Dörr, 2023, JMIR medical informatics.

Interoperable, Domain-Specific Extensions for the German Corona Consensus (GECCO) COVID-19 Research Data Set Using an Interdisciplinary, Consensus-Based Workflow: Data Set Development Study

C. von Kalle, S. Thun, M. Dörr, 2023, JMIR medical informatics.

Patient-Centered Mobile Health Data Management Solution for the German Health Care System (The DataBox Project)

Daniela Richter, Christof von Kalle, Titus Josef Brinker, 2018, JMIR cancer.