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220104 ||| eng |
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|a 9783658359324
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| 100 |
1 |
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|a Treibert, Sarah Marie
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| 245 |
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|a Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic
|h Elektronische Ressource
|c by Sarah Marie Treibert
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| 250 |
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|a 1st ed. 2021
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| 260 |
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|a Wiesbaden
|b Springer Fachmedien Wiesbaden
|c 2021, 2021
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| 300 |
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|a XVIII, 248 p. 63 illus
|b online resource
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| 505 |
0 |
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|a Introduction -- The Severe Acute Respiratory Syndrome Corona Virus Type 2 -- The SIR Model in Epidemic Modelling -- The SARS-CoV-2-fitted SEIR Model -- Model Specifications -- Parameter Estimation in MAT LAB -- Markov Chain Epidemic Models -- R´esum´
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| 653 |
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|a Applications of Mathematics
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| 653 |
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|a Mathematics
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a BestMasters
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| 028 |
5 |
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|a 10.1007/978-3-658-35932-4
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| 856 |
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|u https://doi.org/10.1007/978-3-658-35932-4?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 519
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| 520 |
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|a This book deals with the prediction of possible future scenarios concerning the COVID-19 pandemic. Based on the well-known SIR model by Kermack and McKendrick a compartment model is established. This model comprises its own assumptions, transition rates and transmission dynamics, as well as a corresponding system of ordinary differential equations. Making use of numerical methods and a nonstandard-finite-difference scheme, two submodels are implemented in Matlab in order to make parameter estimations and compare different scenarios with each other. About the author Sarah Marie Treibert is a research assistant at the Chair of Applied Mathematics / Numerical Analysis of the University of Wuppertal (Bergische Universität Wuppertal). Her focus is on Epidemic Modelling
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