000			02696nam a22003858i 4500
001			CR9780511662935
003			UkCbUP
005			20200124160229.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			091215s1996||||enk o ||1 0|eng|d
020			_a9780511662935 (ebook)
020			_z9780521453394 (hardback)
020			_z9780521059961 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aRA643 _b.M57 1996
082	0	0	_a614.4/01/5118 _220
245	0	0	_aModels for infectious human diseases : _btheir structure and relation to data / _cedited by Valerie Isham, Graham Medley.
264		1	_aCambridge : _bCambridge University Press, _c1996.
300			_a1 online resource (xxiii, 490 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aPublications of the Newton Institute ; _v6
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	1		_aTransmissible diseases with long development times and vaccination strategies -- Dynamics of immunity (development of disease within individuals) -- Population heterogeneity (mixing) -- Consequences of treatment interventions -- Prediction.
520			_aInfectious disease accounts for more death and disability globally than either non-infectious disease or injury. This book contains a breadth of different quantitative approaches to understanding the patterns of infectious diseases in populations, and the design of control strategies to lessen their effect. The contributors bring a great variety of mathematical expertise (including deterministic and stochastic modelling and statistical data analysis) and involvement in a wide range of applied fields across the spectrum of biological, medical and social sciences. The aim is to increase interaction between specialities by describing research on many of the infectious diseases that affect humans, including both viral diseases like measles and AIDS and tropical parasitic infections. The papers are divided into groups dealing with problems relating to transmissible diseases, vaccination strategies, the consequences of treatment interventions, the dynamics of immunity, heterogeneity of populations, and prediction.
650		0	_aEpidemiology _xMathematical models _vCongresses.
650		0	_aCommunicable diseases _xMathematical models _vCongresses.
700	1		_aIsham, Valerie, _eeditor.
700	1		_aMedley, Graham, _eeditor.
776	0	8	_iPrint version: _z9780521453394
830		0	_aPublications of the Newton Institute ; _v6.
856	4	0	_uhttps://doi.org/10.1017/CBO9780511662935
999			_c517461 _d517459