000 04130nam a22006135i 4500
001 978-3-540-78911-6
003 DE-He213
005 20160302163747.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540789116
_9978-3-540-78911-6
024 7 _a10.1007/978-3-540-78911-6
_2doi
050 4 _aRA648.5-654
072 7 _aMBNS
_2bicssc
072 7 _aMED028000
_2bisacsh
082 0 4 _a614.4
_223
245 1 0 _aMathematical Epidemiology
_h[electronic resource] /
_cedited by Fred Brauer, Pauline van den Driessche, Jianhong Wu.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aXVIII, 414 p. 71 illus., 27 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Mathematics,
_x0075-8434 ;
_v1945
505 0 _aand General Framework -- A Light Introduction to Modelling Recurrent Epidemics -- Compartmental Models in Epidemiology -- An Introduction to Stochastic Epidemic Models -- Advanced Modeling and Heterogeneities -- An Introduction to Networks in Epidemic Modeling -- Deterministic Compartmental Models: Extensions of Basic Models -- Further Notes on the Basic Reproduction Number -- Spatial Structure: Patch Models -- Spatial Structure: Partial Differential Equations Models -- Continuous-Time Age-Structured Models in Population Dynamics and Epidemiology -- Distribution Theory, Stochastic Processes and Infectious Disease Modelling -- Case Studies -- The Role of Mathematical Models in Explaining Recurrent Outbreaks of Infectious Childhood Diseases -- Modeling Influenza: Pandemics and Seasonal Epidemics -- Mathematical Models of Influenza: The Role of Cross-Immunity, Quarantine and Age-Structure -- A Comparative Analysis of Models for West Nile Virus.
520 _aBased on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca ).
650 0 _aMedicine.
650 0 _aEpidemiology.
650 0 _aMathematical analysis.
650 0 _aAnalysis (Mathematics).
650 0 _aDynamics.
650 0 _aErgodic theory.
650 0 _aDifferential equations.
650 0 _aProbabilities.
650 0 _aBiomathematics.
650 1 4 _aMedicine & Public Health.
650 2 4 _aEpidemiology.
650 2 4 _aProbability Theory and Stochastic Processes.
650 2 4 _aAnalysis.
650 2 4 _aGenetics and Population Dynamics.
650 2 4 _aOrdinary Differential Equations.
650 2 4 _aDynamical Systems and Ergodic Theory.
700 1 _aBrauer, Fred.
_eeditor.
700 1 _aDriessche, Pauline van den.
_eeditor.
700 1 _aWu, Jianhong.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540789109
830 0 _aLecture Notes in Mathematics,
_x0075-8434 ;
_v1945
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-78911-6
912 _aZDB-2-SMA
912 _aZDB-2-LNM
999 _c182097
_d182097