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A Historical Introduction to Mathematical Modeling of Infectious Diseases

A Historical Introduction to Mathematical Modeling of Infectious Diseases
  • Author : Ivo M. Foppa
  • Publsiher : Academic Press
  • Release : 18 October 2016
  • ISBN : 0128024992
  • Pages : 214 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKA Historical Introduction to Mathematical Modeling of Infectious Diseases

Summary:
A Historical Introduction to Mathematical Modeling of Infectious Diseases: Seminal Papers in Epidemiology offers step-by-step help on how to navigate the important historical papers on the subject, beginning in the 18th century. The book carefully, and critically, guides the reader through seminal writings that helped revolutionize the field. With pointed questions, prompts, and analysis, this book helps the non-mathematician develop their own perspective, relying purely on a basic knowledge of algebra, calculus, and statistics. By learning from the important moments in the field, from its conception to the 21st century, it enables readers to mature into competent practitioners of epidemiologic modeling. Presents a refreshing and in-depth look at key historical works of mathematical epidemiology Provides all the basic knowledge of mathematics readers need in order to understand the fundamentals of mathematical modeling of infectious diseases Includes questions, prompts, and answers to help apply historical solutions to modern day problems


A Historical Introduction to Mathematical Modeling of Infectious Diseases

A Historical Introduction to Mathematical Modeling of Infectious Diseases
  • Author : Ivo M. Foppa
  • Publisher : Academic Press
  • Release : 18 October 2016
GET THIS BOOKA Historical Introduction to Mathematical Modeling of Infectious Diseases

A Historical Introduction to Mathematical Modeling of Infectious Diseases: Seminal Papers in Epidemiology offers step-by-step help on how to navigate the important historical papers on the subject, beginning in the 18th century. The book carefully, and critically, guides the reader through seminal writings that helped revolutionize the field. With pointed questions, prompts, and analysis, this book helps the non-mathematician develop their own perspective, relying purely on a basic knowledge of algebra, calculus, and statistics. By learning from the important moments

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An Introduction to Mathematical Modeling of Infectious Diseases

An Introduction to Mathematical Modeling of Infectious Diseases
  • Author : Michael Y. Li
  • Publisher : Springer
  • Release : 30 January 2018
GET THIS BOOKAn Introduction to Mathematical Modeling of Infectious Diseases

This text provides essential modeling skills and methodology for the study of infectious diseases through a one-semester modeling course or directed individual studies. The book includes mathematical descriptions of epidemiological concepts, and uses classic epidemic models to introduce different mathematical methods in model analysis. Matlab codes are also included for numerical implementations. It is primarily written for upper undergraduate and beginning graduate students in mathematical sciences who have an interest in mathematical modeling of infectious diseases. Although written in a

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Modeling Infectious Diseases in Humans and Animals

Modeling Infectious Diseases in Humans and Animals
  • Author : Matt J. Keeling,Pejman Rohani
  • Publisher : Princeton University Press
  • Release : 19 September 2011
GET THIS BOOKModeling Infectious Diseases in Humans and Animals

For epidemiologists, evolutionary biologists, and health-care professionals, real-time and predictive modeling of infectious disease is of growing importance. This book provides a timely and comprehensive introduction to the modeling of infectious diseases in humans and animals, focusing on recent developments as well as more traditional approaches. Matt Keeling and Pejman Rohani move from modeling with simple differential equations to more recent, complex models, where spatial structure, seasonal "forcing," or stochasticity influence the dynamics, and where computer simulation needs to be

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Modeling and Control of Infectious Diseases in the Host

Modeling and Control of Infectious Diseases in the Host
  • Author : Esteban A. Hernandez-Vargas
  • Publisher : Academic Press
  • Release : 15 February 2019
GET THIS BOOKModeling and Control of Infectious Diseases in the Host

Modeling and Control of Infectious Diseases in the Host: With MATLAB and R provides a holistic understanding of health and disease by presenting topics on quantitative decision-making that influence the development of drugs. The book presents modeling advances in different viral infections, dissecting detailed contributions of key players, along with their respective interactions. By combining tailored in vivo experiments and mathematical modeling approaches, the book clarifies the relative contributions of different underlying mechanisms within hosts of the most lethal viral

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An Introduction to Infectious Disease Modelling

An Introduction to Infectious Disease Modelling
  • Author : Emilia Vynnycky,Richard White
  • Publisher : Oxford University Press
  • Release : 13 May 2010
GET THIS BOOKAn Introduction to Infectious Disease Modelling

Mathematical models are increasingly being used to examine questions in infectious disease control. Applications include predicting the impact of vaccination strategies against common infections and determining optimal control strategies against HIV and pandemic influenza. This book introduces individuals interested in infectious diseases to this exciting and expanding area. The mathematical level of the book is kept as simple as possible, which makes the book accessible to those who have not studied mathematics to university level. Understanding is further enhanced by

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Mathematical Epidemiology of Infectious Diseases

Mathematical Epidemiology of Infectious Diseases
  • Author : O. Diekmann,J. A. P. Heesterbeek
  • Publisher : John Wiley & Sons
  • Release : 07 April 2000
GET THIS BOOKMathematical Epidemiology of Infectious Diseases

Mathematical Epidemiology of Infectious Diseases Model Building, Analysis and Interpretation O. Diekmann University of Utrecht, The Netherlands J. A. P. Heesterbeek Centre for Biometry Wageningen, The Netherlands The mathematical modelling of epidemics in populations is a vast and important area of study. It is about translating biological assumptions into mathematics, about mathematical analysis aided by interpretation and about obtaining insight into epidemic phenomena when translating mathematical results back into population biology. Model assumptions are formulated in terms of, usually stochastic,

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Mathematical Epidemiology

Mathematical Epidemiology
  • Author : Fred Brauer,Pauline van den Driessche,J. Wu
  • Publisher : Springer Science & Business Media
  • Release : 30 April 2008
GET THIS BOOKMathematical Epidemiology

Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute

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Trends in Infectious Diseases

Trends in Infectious Diseases
  • Author : Shailendra K. Saxena
  • Publisher : BoD – Books on Demand
  • Release : 23 April 2014
GET THIS BOOKTrends in Infectious Diseases

This book gives a comprehensive overview of recent trends in infectious diseases, as well as general concepts of infections, immunopathology, diagnosis, treatment, epidemiology and etiology to current clinical recommendations in management of infectious diseases, highlighting the ongoing issues, recent advances, with future directions in diagnostic approaches and therapeutic strategies. The book focuses on various aspects and properties of infectious diseases whose deep understanding is very important for safeguarding human race from more loss of resources and economies due to pathogens.

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The Geographic Spread of Infectious Diseases

The Geographic Spread of Infectious Diseases
  • Author : Lisa Sattenspiel
  • Publisher : Princeton University Press
  • Release : 26 July 2009
GET THIS BOOKThe Geographic Spread of Infectious Diseases

The 1918-19 influenza epidemic killed more than fifty million people worldwide. The SARS epidemic of 2002-3, by comparison, killed fewer than a thousand. The success in containing the spread of SARS was due largely to the rapid global response of public health authorities, which was aided by insights resulting from mathematical models. Models enabled authorities to better understand how the disease spread and to assess the relative effectiveness of different control strategies. In this book, Lisa Sattenspiel and Alun Lloyd

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Mathematical Models in Epidemiology

Mathematical Models in Epidemiology
  • Author : Fred Brauer,Carlos Castillo-Chavez,Zhilan Feng
  • Publisher : Springer Nature
  • Release : 10 October 2019
GET THIS BOOKMathematical 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

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Modeling and Dynamics of Infectious Diseases

Modeling and Dynamics of Infectious Diseases
  • Author : Zhien Ma,Yicang Zhou,Jianhong Wu
  • Publisher : World Scientific
  • Release : 25 September 2021
GET THIS BOOKModeling and Dynamics of Infectious Diseases

This book provides a systematic introduction to the fundamental methods and techniques and the frontiers of ? along with many new ideas and results on ? infectious disease modeling, parameter estimation and transmission dynamics. It provides complementary approaches, from deterministic to statistical to network modeling; and it seeks viewpoints of the same issues from different angles, from mathematical modeling to statistical analysis to computer simulations and finally to concrete applications.

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An Introduction to Mathematical Epidemiology

An Introduction to Mathematical Epidemiology
  • Author : Maia Martcheva
  • Publisher : Springer
  • Release : 20 October 2015
GET THIS BOOKAn Introduction to Mathematical Epidemiology

The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model building, fitting to data, local and global analysis techniques. Various types of deterministic dynamical models are considered: ordinary differential equation models, delay-differential equation models, difference equation models, age-structured PDE models and diffusion models. It includes various techniques for the computation of the basic reproduction number as well as approaches to the epidemiological interpretation of the reproduction number. MATLAB code is included

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Epidemics

Epidemics
  • Author : Ottar N. Bjørnstad
  • Publisher : Springer
  • Release : 30 October 2018
GET THIS BOOKEpidemics

This book is designed to be a practical study in infectious disease dynamics. The book offers an easy to follow implementation and analysis of mathematical epidemiology. The book focuses on recent case studies in order to explore various conceptual, mathematical, and statistical issues. The dynamics of infectious diseases shows a wide diversity of pattern. Some have locally persistent chains-of-transmission, others persist spatially in ‘consumer-resource metapopulations’. Some infections are prevalent among the young, some among the old and some are age-invariant.

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A Biologist's Guide to Mathematical Modeling in Ecology and Evolution

A Biologist's Guide to Mathematical Modeling in Ecology and Evolution
  • Author : Sarah P. Otto,Troy Day
  • Publisher : Princeton University Press
  • Release : 19 September 2011
GET THIS BOOKA Biologist's Guide to Mathematical Modeling in Ecology and Evolution

Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary

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