Publikationen im NUM
Hier finden Sie eine Liste der Publikationen, die im Zusammenhang mit dem Netzwerk Universitätsmedizin in der ersten und zweiten Förderphase entstanden sind.
Walker A,
Houwaa T,
Wienemann T,
et al .
Genetic structure of SARS-CoV-2 reflects clonal superspreading and multiple independent introduction events, North-Rhine Westphalia, Germany, February and March 2020.
Euro Surveillance.
2020;
25(22):
[DOI]
Alm E,
Broberg EK,
Connor T,
et al .
Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020.
Eurosurveillance.
2020;
25(32):
[DOI]
Abdel-Karim BM,
Pfeuffer N,
Rohde G,
Hinz O.
How and What Can Humans Learn from Being in the Loop?.
KI - Künstliche Intelligenz.
2020;
34(2):199—207.
[DOI]
Scherer J,
Nolden M,
Kleesiek J,
Metzger J,
others .
Joint Imaging Platform for Federated Clinical Data Analytics.
JCO Clin Cancer Inform.
2020;
41027-103.
Schmitt J,
Harst L,
Weber TO,
Sedlmayr M,
Ciesek S,
Apfelbacher C,
Bajbouj M,
Bierbaum V,
Combs S,
Drosten C,
Geraedts M,
Haier J,
Ihle P,
Lieb K,
Rohde G,
Schmidberger H,
Vogelmeier C,
Weber-Carstens S,
Weltermann B,
Wagner M.
Konzept für ein bundesweites Pandemiemanagement im Rahmen des Netzwerks Universitätsmedizin.
German Medical Science GMS Publishing House.
2020;
[DOI]
Bernardes J,
Mishra N,
Tran F,
Bahmer T,
Best L,
Blase J,
Bordoni D,
Franzenburg J,
Geisen U,
Josephs-Spaulding J,
others .
Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19.
Immunity.
2020;
53(6):1296—1314.e9.
[DOI]
Bacher P,
et al .
Low-Avidity CD4(+) T Cell Responses to SARS-CoV-2 in Unexposed Individuals and Humans with Severe COVID-19.
Immunity.
2020;
531258—1271.e5.
[DOI]
Krishnaratne S,
Pfadenhauer LM,
Coenen M,
Geffert K,
Jung-Sievers C,
Klinger C,
Kratzer S,
Littlecott H,
Movsisyan A,
Rabe JE,
Rehfuess E,
Sell K,
Strahwald B,
Stratil JM,
Voss S,
Wabnitz K,
Burns J.
Measures implemented in the school setting to contain the COVID-19 pandemic: a scoping review.
Cochrane Database Syst Rev.
2020;
12CD013812.
[DOI]
Augustin M,
Schommers P,
Suárez I,
et al .
Rapid response infrastructure for pandemic preparedness in a tertiary care hospital: lessons learned from the COVID-19 outbreak in Cologne, Germany, February to March 2020.
Euro Surveill.
2020;
25(21):
[DOI]
Schneider S,
Piening B,
Nouri-Pasovsky PA,
et al .
SARS-Coronavirus-2 cases in healthcare workers may not regularly originate from patient care: lessons from a university hospital on the underestimated risk of healthcare worker to healthcare worker transmission.
Antimicrob Resist Infect Control.
2020;
9(1):
[DOI]
Bojkova D,
Wagner JUG,
Shumliakivska M,
Aslan GS,
Saleem U,
Hansen A,
Luxán G,
Günther S,
Pham MD,
Krishnan J,
others .
SARS-CoV-2 infects and induces cytotoxic effects in human cardiomyocytes.
Cardiovasc Res.
2020;
116(14):2207-2215.
[DOI]
Gruber A,
Osterrieder N,
Bertzbach L,
Vladimirova D,
Greuel S,
Ihlow ea.
Standardization of Reporting Criteria for Lung Pathology in SARS-CoV-2–infected Hamsters: What Matters?.
Am. J. Respir. Cell Mol. Biol..
2020;
63856—859.
Erber J,
Kappler V,
Haller B,
et al .
Strategies for infection control and prevalence of anti-SARS-CoV-2 IgG in 4,554 employees of a university hospital in Munich, Germany.
MedRxiv.
2020;
[DOI]
Sass J,
Bartschke A,
Lehne M,
Essenwanger A,
Rinaldi E,
Rudolph S,
Heitmann K,
Vehreschild J,
Kalle C,
Thun S.
The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond.
BMC Med Inform Decis Mak.
2020;
20(1):341.
[DOI]
Mayer M,
Kunhan L,
Zhu M.
China. In:
Jasanoff, S and et al., editors.
Comparative Covid Response: Crisis, Knowledge, Politics.
2020.