| 000 | 02582nam a22003858i 4500 | ||
|---|---|---|---|
| 001 | CR9780511608834 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160219.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 141103s1999||||enk o ||1 0|eng|d | ||
| 020 | _a9780511608834 (ebook) | ||
| 020 | _z9780521640794 (hardback) | ||
| 020 | _z9780521014670 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 0 |
_aRA652.2.M3 _bD34 1999 |
| 082 | 0 | 0 |
_a614.4/01/5 _221 |
| 100 | 1 |
_aDaley, Daryl J., _eauthor. |
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| 245 | 1 | 0 |
_aEpidemic modelling : _ban introduction / _cD.J. Daley and J. Gani. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c1999. |
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| 300 |
_a1 online resource (xii, 213 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aCambridge studies in mathematical biology ; _v15 |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 505 | 0 | _aSome history -- Deterministic models -- Stochastic models in continuous time -- Stochastic models in discrete time -- Rumours: modelling spread and its cessation -- Fitting epidemic data -- The control of epidemics. | |
| 520 | _aThis general introduction to the ideas and techniques required for the mathematical modelling of diseases begins with an outline of some disease statistics dating from Daniel Bernoulli's 1760 smallpox data. The authors then describe simple deterministic and stochastic models in continuous and discrete time for epidemics taking place in either homogeneous or stratified (non-homogeneous) populations. Several techniques for constructing and analysing models are provided, mostly in the context of viral and bacterial diseases of human populations. These models are contrasted with models for rumours and vector-borne diseases like malaria. Questions of fitting data to models, and their use in understanding methods for controlling the spread of infection, are discussed. Exercises and complementary results at the end of each chapter extend the scope of the text, which will be useful for students taking courses in mathematical biology who have some basic knowledge of probability and statistics. | ||
| 650 | 0 |
_aEpidemiology _xMathematical models. |
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| 650 | 0 |
_aEpidemiology _xStatistical methods. |
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| 700 | 1 |
_aGani, J. M. _q(Joseph Mark), _eauthor. |
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| 776 | 0 | 8 |
_iPrint version: _z9780521640794 |
| 830 | 0 |
_aCambridge studies in mathematical biology ; _v15. |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511608834 |
| 999 |
_c516531 _d516529 |
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