000 | 03486nam a22005175i 4500 | ||
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001 | 978-3-031-01665-3 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 220601s2019 sz | s |||| 0|eng d | ||
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_a9783031016653 _9978-3-031-01665-3 |
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_a10.1007/978-3-031-01665-3 _2doi |
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_aSchiesser, William E. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984995 |
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245 | 1 | 0 |
_aSpatiotemporal Modeling of Influenza _h[electronic resource] : _bPartial Differential Equation Analysis in R / _cby William E. Schiesser. |
250 | _a1st ed. 2019. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
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300 |
_aXIII, 97 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aSynthesis Lectures on Biomedical Engineering, _x1930-0336 |
|
505 | 0 | _aPreface -- PDE Model Formulation -- Model Implementation -- Model Analysis -- Moving Boundary Model -- Author's Biography -- Index . | |
520 | _aThis book has a two-fold purpose: (1) An introduction to the computer-based modeling of influenza, a continuing major worldwide communicable disease. (2) The use of (1) as an illustration of a methodology for the computer-based modeling of communicable diseases. For the purposes of (1) and (2), a basic influenza model is formulated as a system of partial differential equations (PDEs) that define the spatiotemporal evolution of four populations: susceptibles, untreated and treated infecteds, and recovereds. The requirements of a well-posed PDE model are considered, including the initial and boundary conditions. The terms of the PDEs are explained. The computer implementation of the model is illustrated with a detailed line-by-line explanation of a system of routines in R (a quality, open-source scientific computing system that is readily available from the Internet). The R routines demonstrate the straightforward numerical solution ofa system of nonlinear PDEs by the method of lines (MOL), an established general algorithm for PDEs. The presentation of the PDE modeling methodology is introductory with a minumum of formal mathematics (no theorems and proofs), and with emphasis on example applications. The intent of the book is to assist in the initial understanding and use of PDE mathematical modeling of communicable diseases, and the explanation and interpretation of the computed model solutions, as illustrated with the influenza model. | ||
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_aEngineering. _99405 |
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_aBiophysics. _94093 |
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_aTechnology and Engineering. _984997 |
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_aBiophysics. _94093 |
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_aBiomedical Engineering and Bioengineering. _931842 |
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_aSpringerLink (Online service) _984999 |
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_iPrinted edition: _z9783031000447 |
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_iPrinted edition: _z9783031005374 |
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_iPrinted edition: _z9783031027932 |
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