Record link: 
http://hdl.handle.net/20.500.12708/138762
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Title: 
Targeted COVID-19 Vaccination (TAV-COVID) Considering Limited Vaccination Capacities-An Agent-Based Modeling Evaluation
en
Citation: 
Jahn, B., Sroczynski, G., Bicher, M., Rippinger, C., Mühlberger, N., Santamaria, J., Urach, C., Schomaker, M., Stojkov, I., Schmid, D., Weiss, G., Wiedermann, U., Redlberger-Fritz, M., Druml, C., Kretschmar, M., Paulke-Korinek, M., Ostermann, H., Czasch, C., Endel, G., … Siebert, U. (2021). Targeted COVID-19 Vaccination (TAV-COVID) Considering Limited Vaccination Capacities-An Agent-Based Modeling Evaluation. Vaccines, 9(5), 434. https://doi.org/10.3390/vaccines9050434
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Publisher DOI: 
10.3390/vaccines9050434
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Publication Type: 
Article - Original Research Article
en
Language: 
English
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Authors: 
Jahn, Beate 
Sroczynski, Gaby 
Bicher, Martin 
Rippinger, Claire 
Mühlberger, Nikolai 
Santamaria, Julia 
Urach, Christoph 
Schomaker, Michael 
Stojkov, Igor 
Schmid, Daniela 
Weiss, Günter 
Wiedermann, Ursula 
Redlberger-Fritz, Monika 
Druml, Christiane 
Kretschmar, Mirjam 
Paulke-Korinek, Maria 
Ostermann, Herwig 
Czasch, Caroline 
Endel, Gottfried 
Bock, Wolfgang 
Popper, Nikolas 
Siebert, Uwe 
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Organisational Unit: 
E194-01 - Forschungsbereich Software Engineering 
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Journal: 
Vaccines 
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ISSN: 
2076-393X
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Date (published): 
2021
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Number of Pages: 
18
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Peer reviewed: 
Yes
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Keywords: 
Pharmacology (medical); Pharmacology; Infectious Diseases; Drug Discovery; Immunology
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Research Areas: 
Modelling and Simulation: 30%
Information Systems Engineering: 30%
außerhalb der gesamtuniversitären Forschungsschwerpunkte: 40%
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Science Branch: 
Informatik
Mathematik
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