000759847 000__ 05027cam\a2200481Ii\4500
000759847 001__ 759847
000759847 005__ 20230306141935.0
000759847 006__ m\\\\\o\\d\\\\\\\\
000759847 007__ cr\cn\nnnunnun
000759847 008__ 160729s2016\\\\sz\a\\\\o\\\\\001\0\eng\d
000759847 020__ $$a9783319404134$$q(electronic book)
000759847 020__ $$a331940413X$$q(electronic book)
000759847 020__ $$z9783319404110
000759847 0247_ $$a10.1007/978-3-319-40413-4$$2doi
000759847 035__ $$aSP(OCoLC)ocn954214702
000759847 035__ $$aSP(OCoLC)954214702
000759847 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dYDXCP$$dIDEBK$$dEBLCP$$dGW5XE$$dOCLCO$$dAZU$$dCOO
000759847 049__ $$aISEA
000759847 050_4 $$aRA643
000759847 08204 $$a616.001/5118$$223
000759847 08204 $$a510
000759847 24500 $$aMathematical and statistical modeling for emerging and re-emerging infectious diseases$$h[electronic resource] /$$cGerardo Chowell, James M. Hyman, editors.
000759847 264_1 $$aSwitzerland :$$bSpringer,$$c2016.
000759847 300__ $$a1 online resource (ix, 356 pages) :$$billustrations.
000759847 336__ $$atext$$btxt$$2rdacontent
000759847 337__ $$acomputer$$bc$$2rdamedia
000759847 338__ $$aonline resource$$bcr$$2rdacarrier
000759847 500__ $$aIncludes index.
000759847 5050_ $$aPreface -- A Reality of Its Own -- Modeling the Impact of Behavior Change on the Spread of Ebola -- A model for coupled outbreaks contained by behavior change -- Real-time assessment of the international spreading risk associated with the 2014 West African Ebola Outbreak -- Modeling the case of early detection of Ebola virus disease -- Modeling ring vaccination strategies to control Ebola virus disease epidemics -- Estimation of the number of sickbeds during Ebola epidemics using optimal control theory -- Inverse problems and Ebola virus disease using an age of infection model -- Assessing the Efficiency of Movement -- Restriction as a Control Strategy of Ebola -- Patch models of EVD transmission dynamics -- From bee species aggregation to models of disease avoidance: The \emph{Ben-Hur} effect} -- Designing Public Health Policies to Mitigate the Adverse Consequences of Rural-Urban Migration via Meta-Population Modeling -- Age of Infection Epidemic Models -- Optimal Control of Vaccination in an Age-Structured Cholera Model -- A Multi-risk Model for Understanding the Spread of Chlamydia -- The 1997 Measles Outbreak in Metropolitan São Paulo, Brazil: Strategic Implications of Increasing Urbanization -- Methods to determine the end of an infectious disease epidemic: A short review -- Statistical considerations in infectious disease randomized controlled trials -- Epidemic models with and without mortality: when does it matter?- Capturing Household Transmission in Compartmental Models of Infectious Disease -- Bistable endemic states in a Susceptible-Infectious-Susceptible model with behavior-dependent Vaccination -- Index.
000759847 506__ $$aAccess limited to authorized users.
000759847 520__ $$aThe contributions by epidemic modeling experts describe how mathematical models and statistical forecasting are created to capture the most important aspects of an emerging epidemic.Readers will discover a broad range of approaches to address questions, such as Can we control Ebola via ring vaccination strategies? How quickly should we detect Ebola cases to ensure epidemic control? What is the likelihood that an Ebola epidemic in West Africa leads to secondary outbreaks in other parts of the world? When does it matter to incorporate the role of disease-induced mortality on epidemic models? What is the role of behavior changes on Ebola dynamics? How can we better understand the control of cholera or Ebola using optimal control theory? How should a population be structured in order to mimic the transmission dynamics of diseases such as chlamydia, Ebola, or cholera? How can we objectively determine the end of an epidemic? How can we use metapopulation models to understand the role of movement restrictions and migration patterns on the spread of infectious diseases? How can we capture the impact of household transmission using compartmental epidemic models? How could behavior-dependent vaccination affect the dynamical outcomes of epidemic models? The derivation and analysis of the mathematical models addressing these questions provides a wide-ranging overview of the new approaches being created to better forecast and mitigate emerging epidemics. This book will be of interest to researchers in the field of mathematical epidemiology, as well as public health workers.
000759847 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 9, 2016).
000759847 650_0 $$aCommunicable diseases$$xMathematical models.
000759847 650_0 $$aCommunicable diseases$$xStatistical methods.
000759847 650_0 $$aEpidemiology$$xMathematical models.
000759847 650_0 $$aEpidemiology$$xStatistical methods.
000759847 7001_ $$aChowell, Gerardo,$$eeditor.
000759847 7001_ $$aHyman, James M.,$$eeditor.
000759847 77608 $$iPrint version:$$z9783319404110
000759847 852__ $$bebk
000759847 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-40413-4$$zOnline Access$$91397441.1
000759847 909CO $$ooai:library.usi.edu:759847$$pGLOBAL_SET
000759847 980__ $$aEBOOK
000759847 980__ $$aBIB
000759847 982__ $$aEbook
000759847 983__ $$aOnline
000759847 994__ $$a92$$bISE