000 05268nam a22005177a 4500
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008 121116s2013 xxu| s |||| 0|eng d
020 _a9781461439615
_9978-1-4614-3961-5
024 7 _a10.1007/978-1-4614-3961-5
_2doi
050 4 _aQH301-705
072 7 _aPSA
_2bicssc
072 7 _aSCI086000
_2bisacsh
072 7 _aSCI064000
_2bisacsh
082 0 4 _a570
_223
245 1 0 _aDynamic Models of Infectious Diseases
_h[electronic resource] :
_bVolume 1: Vector-Borne Diseases /
_cedited by Vadrevu Sree Hari Rao, Ravi Durvasula.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXII, 292 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPredictive Dynamic Modeling for Virological Surveillance and Clinical Management of Dengue -- Unstable Dynamics of Vector Borne Diseases: Modeling Through Delay Differential Equations -- West Nile Virus- 10 Years in North America -- Global Impact of Leishmania Infections -- Chagas Disease: Epidemiology and Evolving Strategies for Control -- Filaria Monitoring Visualization System (FMVS) - A New Dimension for Integrated Control of Lymphatic Filariasis -- Integrated Disease Management of Japanese Encephalitis in India -- Global Impact of Malaria and Determinants of Severe Malarial Anemia -- Index.
520 _aDespite great advances in public health worldwide, insect vector-borne infectious diseases remain a leading cause of morbidity and mortality. Diseases that are transmitted by arthropods such as mosquitoes, sand flies, fleas, and ticks affect hundreds of millions of people and account for nearly three million deaths all over the world. In the past there was  very little hope of controlling the epidemics caused by these diseases, but modern advancements in science and technology are providing a variety of ways in which these diseases can be handled. Clearly, the process of transmission of an infectious disease is a nonlinear (not necessarily linear) dynamic process which can be understood only by appropriately quantifying the vital parameters that govern these dynamics. The following aspects are associated with the modeling of the dynamics of infectious diseases: ·         Disease transmission dynamics ·         Predictive dynamics ·         Control dynamics ·         Relapse dynamics ·         Transformation of experimental results from closed (laboratory) environment to open (real world) environment Dynamic Models of Infectious Diseases – Vector Borne Diseases, presents a self-contained account of the dynamic modeling of diseases of vital importance transmitted by insect arthropods.  Key Features: ·         A thorough discussion on the design of effective disease control strategies ·         Presents a variety of predictive dynamical models for disease transmission ·         Provides an accessible and informative over view of known literature including several clinical practices ·         Exemplifies the role of information technology as a problem solver aiding effective early diagnosis and disease management ·         Demonstrates the importance of intelligent systems approach to decision-making in an interesting mix of domains – bioinformatics, health sciences, and infectious diseases ·         A variety of IT-based tools for surveillance and control of both vectors and disease transmissionThis book is ideal for a general science and engineering audience requiring an in-depth exposure to current issues, ideas, methods, and models. The topics discussed serve as a useful reference to clinical experts, health scientists, public health administrators, medical practitioners, senior under graduate and graduate students in applied mathematics, biology, bio-informatics, epidemiology, medicine, and health sciences. This book is ideal for a general science and engineering audience requiring an in-depth exposure to current issues, ideas, methods, and models. The topics discussed serve as a useful reference to clinical experts, health scientists, public health administrators, medical practitioners, senior under graduate and graduate students in applied mathematics, biology, bio-informatics, epidemiology, medicine, and health sciences.
650 0 _aLife sciences.
650 0 _aBiotechnology.
650 0 _aInfectious diseases.
650 0 _aBioinformatics.
650 0 _aSystems biology.
650 1 4 _aLife Sciences.
650 2 4 _aSystems Biology.
650 2 4 _aInfectious Diseases.
650 2 4 _aBioinformatics.
650 2 4 _aBiotechnology.
700 1 _aRao, Vadrevu Sree Hari.
_eeditor.
700 1 _aDurvasula, Ravi.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461439608
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-3961-5
912 _aZDB-2-SBL
942 _2Dewey Decimal Classification
_ceBooks
999 _c43995
_d43995