Mathematical and statistical estimation approaches in epidemiology

Mathematical and Statistical Estimation Approaches in Epidemiology compiles t- oretical and practical contributions of experts in the analysis of infectious disease epidemics in a single volume. Recent collections have focused in the analyses and simulation of deterministic and stochastic models who...

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Xehetasun bibliografikoak
Egile nagusia: Chowell, Gerardo
Beste egile batzuk: Hyman, James M., physicien (Argitalpenaren zuzendaria), Bettencourt, Luís M. A. (Argitalpenaren zuzendaria), Castillo-Chavez, Carlos, 1952-...., biomathématicien (Argitalpenaren zuzendaria)
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: Dordrecht : Springer Netherlands : Springer e-books [20..].
Cham : Springer Nature
Gaiak:
Sarrera elektronikoa:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Oharra: Description d'apès consultation du 24 janvier
Autre(s) contribution(s) : Carlos Castillo-Chavez (editor)
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Mathematical and Statistical Estimation Approaches in Epidemiology, Gerardo Chowell, James M. Hyman, Luís M. A. Bettencourt, Carlos Castillo-Chavez, editors, 2009, Dordrecht, Springer, 1 vol. (XIII-363 p.), 978-90-481-2312-4
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245 1 0 |a Mathematical and statistical estimation approaches in epidemiology   |c edited by Gerardo Chowell, James M. Hyman, Luís M. A. Bettencourt... [et al.]. 
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260 |a Cham :  |b Springer Nature,  |c [20..]. 
500 |a Description d'apès consultation du 24 janvier 
500 |a Autre(s) contribution(s) : Carlos Castillo-Chavez (editor) 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
505 1 |a The Basic Reproduction Number of Infectious Diseases: Computation and Estimation Using Compartmental Epidemic Models Stochastic Epidemic Modeling Two Critical Issues in Quantitative Modeling of Communicable Diseases: Inference of Unobservables and Dependent Happening The Chain of Infection, Contacts, and Model Parametrization The Effective Reproduction Number as a Prelude to Statistical Estimation of Time-Dependent Epidemic Trends Sensitivity of Model-Based Epidemiological Parameter Estimation to Model Assumptions An Ensemble Trajectory Method for Real-Time Modeling and Prediction of Unfolding Epidemics: Analysis of the 2005 Marburg Fever Outbreak in Angola Statistical Challenges in BioSurveillance Death Records from Historical Archives: A Valuable Source of Epidemiological Information Sensitivity Analysis for Uncertainty Quantification in Mathematical Models An Inverse Problem Statistical Methodology Summary The Epidemiological Impact of Rotavirus Vaccination Programs in the United States and Mexico Spatial and Temporal Dynamics of Rubella in Peru, 1997 2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility The Role of Nonlinear Relapse on Contagion Amongst Drinking Communities 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a Mathematical and Statistical Estimation Approaches in Epidemiology compiles t- oretical and practical contributions of experts in the analysis of infectious disease epidemics in a single volume. Recent collections have focused in the analyses and simulation of deterministic and stochastic models whose aim is to identify and rank epidemiological and social mechanisms responsible for disease transmission. The contributions in this volume focus on the connections between models and disease data with emphasis on the application of mathematical and statistical approaches that quantify model and data uncertainty. The book is aimed at public health experts, applied mathematicians and sci- tists in the life and social sciences, particularly graduate or advanced undergraduate students, who are interested not only in building and connecting models to data but also in applying and developing methods that quantify uncertainty in the context of infectious diseases. Chowell and Brauer open this volume with an overview of the classical disease transmission models of Kermack-McKendrick including extensions that account for increased levels of epidemiological heterogeneity. Their theoretical tour is followed by the introduction of a simple methodology for the estimation of, the basic reproduction number,R . The use of this methodology 0 is illustrated, using regional data for 1918 1919 and 1968 in uenza pandemics 
650 |a Épidémiologie 
650 |a Estimation, Théorie de l' 
650 |a Statistique mathématique 
700 1 |a Hyman, James M.,  |c physicien.  |4 pbd 
700 1 |a Bettencourt, Luís M. A.  |4 pbd 
700 1 |a Castillo-Chavez, Carlos,  |d 1952-....,  |c biomathématicien.  |4 pbd 
760 0 |t Mathematics and Statistics 
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