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1. Definition of the Post-COVID syndrome using a symptom-based Post-COVID score in a prospective, multi-center, cross-sectoral cohort of the German National Pandemic Cohort Network (NAPKON)

2. Role and benefits of infectious diseases specialists in the COVID-19 pandemic: Multilevel analysis of care provision in German hospitals using data from the Lean European Open Survey on SARS-CoV-2 infected patients (LEOSS) cohort

3. Incidence and risk factors for HIV-tuberculosis coinfection in the Cologne–Bonn region: a retrospective cohort study

4. A precise performance-based reimbursement model for the multi-centre NAPKON cohorts – development and evaluation

5. Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality

8. 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

9. Depression and fatigue six months post-COVID-19 disease are associated with overlapping symptom constellations: A prospective, multi-center, population-based cohort study

10. Profile of the multicenter cohort of the German Cancer Consortium’s Clinical Communication Platform

11. Drug Resistance Spread in 6 Metropolitan Regions, Germany, 2001-20181.

12. Frequently asked questions regarding SARS-CoV-2 in cancer patients-recommendations for clinicians caring for patients with malignant diseases.

13. Chronic liver enzyme elevation and use of contemporary ARVs among persons living with HIV

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

15. Hotspots of Transmission Driving the Local Human Immunodeficiency Virus Epidemic in the Cologne-Bonn Region, Germany

16. The DKTK EXLIQUID consortium – exploiting liquid biopsies to advance cancer precision medicine for molecular tumor board patients

17. Severity, predictors and clinical correlates of Post-COVID syndrome (PCS) in Germany: A prospective, multi-centre, population-based cohort study

18. Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning

20. Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients

21. Development and validation of BLOOMY prediction scores for 14-day and 6-month mortality in hospitalised adults with bloodstream infections: a multicentre, prospective, cohort study

22. Trends in Mortality in People With HIV From 1999 through 2020: A Multicohort Collaboration.

23. Integration von Bestandsdaten aus Kohorten- und Registerstudien in ein existierendes Forschungsnetzwerk: Nationales Pandemie Kohorten Netz (NAPKON).

24. Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases

25. The protective effect of tumor necrosis factor-alpha inhibitors in COVID-19 in patients with inflammatory rheumatic diseases compared to the general population—A comparison of two German registries

27. Primary prophylaxis of bacterial infections and Pneumocystis jirovecii pneumonia in patients with hematologic malignancies and solid tumors: 2020 updated guidelines of the Infectious Diseases Working Party of the German Society of Hematology and Medical Oncology (AGIHO/DGHO)

28. Chronic Liver Enzyme Elevation and Use of Contemporary ARVs Among People With HIV

29. Trends in mortality in people with HIV from 1999 to 2020: a multi-cohort collaboration

30. Chronic Liver Enzyme Elevation and Use of Contemporary ARVs Among People With HIV.

31. First results of the “Lean European Open Survey on SARS-CoV-2-Infected Patients (LEOSS)”

34. Clostridioides difficile infection (CDI): A pan-European multi-center cost and resource utilization study, results from the Combatting Bacterial Resistance in Europe CDI (COMBACTE-CDI)

35. Infektionen bei Immunschwäche

37. Measures of Longitudinal Immune Dysfunction and Risk of AIDS and Non-AIDS Defining Malignancies in Antiretroviral-Treated People With Human Immunodeficiency Virus.

39. COVID-19 in Patients with Active Cancer: Higher Inflammatory Activity Predicts Poor Outcome.

40. COVID-19 in patients with active - higher inflammatory activity predicts poor outcome.

44. Concepts of lines of therapy in cancer treatment: Findings from an expert interview-based study

45. 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

46. Duration of Protection From Pneumonia After Pneumococcal Vaccination in Hemodialysis Patients (DOPPIO): Protocol for a Prospective Multicenter Study

47. Increased circulating fibronectin, depletion of natural IgM and heightened EBV, HSV-1 reactivation in ME/CFS and long COVID

49. Clostridioides difficile infection (CDI): A pan-European multi-center cost and resource utilization study, results from the Combatting Bacterial Resistance in Europe CDI (COMBACTE-CDI)

50. Development of interoperable, domain-specific extensions for the German Corona Consensus (GECCO) COVID-19 research dataset using an interdisciplinary, consensus-based workflow

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