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001 978-3-030-49896-2
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008 200730s2020 sz | s |||| 0|eng d
020 _a9783030498962
_9978-3-030-49896-2
024 7 _a10.1007/978-3-030-49896-2
_2doi
050 4 _aTA329-348
050 4 _aTA345-345.5
072 7 _aTBJ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aTBJ
_2thema
082 0 4 _a620
_223
245 1 0 _aMathematical Modelling and Analysis of Infectious Diseases
_h[electronic resource] /
_cedited by Khalid Hattaf, Hemen Dutta.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXI, 342 p. 113 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v302
505 0 _aPathogen Evolution when Transmission and Virulence are Stochastic -- On the relationship between the basic reproduction number and the shape of the spatial domain -- Cause and Control strategy for infectious diseases with nonlinear incidence and treatment rate -- Global stability of a delay virus dynamics model with mitotic transmission and cure rate -- Dynamics of a fractional-order hepatitis B epidemic model and its solutions by nonstandard numerical schemes On SICA models for HIV transmission -- Analytical and numerical solutions of a TB-HIV/AIDS co-infection model via fractional derivatives without singular kernel.
520 _aThis book discusses significant research and study topics related to mathematical modelling and analysis of infectious diseases. It includes several models and modelling approaches with different aims, such as identifying and analysing causes of occurrence and re-occurrence, causes of spreading, treatments and control strategies. A valuable resource for researchers, students, educators, scientists, professionals and practitioners interested in gaining insights into various aspects of infectious diseases using mathematical modelling and mathematical analysis, the book will also appeal to general readers wanting to understand the dynamics of various diseases and related issues. Key Features Mathematical models that describe population prevalence or incidence of infectious diseases Mathematical tools and techniques to analyse data on the incidence of infectious diseases Early detection and risk estimate models of infectious diseases Mathematical models that describe the transmission of infectious diseases and analyse data Dynamical analysis and control strategies for infectious diseases Studies comparing the utility of particular models in describing infected diseases-related issues such as social, health and economic.
650 0 _aEngineering mathematics.
_93254
650 0 _aEngineering—Data processing.
_931556
650 0 _aVeterinary microbiology.
_945908
650 1 4 _aMathematical and Computational Engineering Applications.
_931559
650 2 4 _aVeterinary Microbiology.
_945909
700 1 _aHattaf, Khalid.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_945910
700 1 _aDutta, Hemen.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_945911
710 2 _aSpringerLink (Online service)
_945912
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030498955
776 0 8 _iPrinted edition:
_z9783030498979
776 0 8 _iPrinted edition:
_z9783030498986
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v302
_945913
856 4 0 _uhttps://doi.org/10.1007/978-3-030-49896-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77764
_d77764