Mathematical And Statistical Estimation Approaches In Epidemiology
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Mathematical and Statistical Estimation Approaches in Epidemiology
Author: Gerardo Chowell
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-06-06
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.
Mathematical Models in Epidemiology
The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of disease transmission models. It includes (i) an introduction to the main concepts of compartmental models including models with heterogeneous mixing of individuals and models for vector-transmitted diseases, (ii) a detailed analysis of models for important specific diseases, including tuberculosis, HIV/AIDS, influenza, Ebola virus disease, malaria, dengue fever and the Zika virus, (iii) an introduction to more advanced mathematical topics, including age structure, spatial structure, and mobility, and (iv) some challenges and opportunities for the future. There are exercises of varying degrees of difficulty, and projects leading to new research directions. For the benefit of public health professionals whose contact with mathematics may not be recent, there is an appendix covering the necessary mathematical background. There are indications which sections require a strong mathematical background so that the book can be useful for both mathematical modelers and public health professionals.
Infectious Disease Epidemiology
Author: Eyal Oren
language: en
Publisher: Springer Publishing Company
Release Date: 2022-11-18
Infectious Disease Epidemiology: An Introduction is a foundational textbook for public health and related health science degrees. It provides a comprehensive public health strategy for understanding and managing the spread of infectious diseases. This unique book offers an integrated approach that covers the important methods underlying the discipline of infectious disease epidemiology, while also illustrating key social and environmental factors critical for understanding disease spread and its effect on population health. The book is divided into four parts that cover the entire scope of infectious disease origin, spread, and management. It breaks down factors leading to disease emergence and modes of transmission, the social, behavioral, cultural, and environmental dimensions that contribute to communicable spread and severity, as well as the tools used for disease detection, surveillance, control, and eradication. It discusses the latest knowledge and technologies in the field—including specific coverage on the role of big data and digital disease detection, the impact and challenges of vaccines, and much more. Core epidemiologic principles are explored through rich real-world examples, utilizing a combination of case studies, popular media examples, and didactic exercises. Each chapter has an engaging narrative and includes key terms and definitions, insightful vignettes, visually compelling illustrations, thought questions, and discussion questions to foster critical thinking and spark further investigation. Infectious Disease Epidemiology: An Introduction is an essential resource for students of public health and other health professionals in developing a nuanced and comprehensive understanding of this growing and dynamic field. Key Features: Provides students with an integrated approach illustrating important epidemiologic methods and tools in the context of current and historic real-world examples Uses multidisciplinary approaches to contextualize broader socio-behavioral factors and disparities in infectious disease Illustrates how novel methodological and technological advances support progress in infectious disease epidemiology Poses engaging discussion questions in each chapter that help guide in-class discussions and group work