Modeling and Control of Infectious Diseases in the Host

• Author : Esteban A. Hernandez-Vargas
• Publisher : Academic Press
• Release : 14 February 2019

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

• Author : Matt J. Keeling,Pejman Rohani
• Publisher : Princeton University Press
• Release : 19 September 2011

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

• Author : Ottar N. Bjørnstad
• Publisher : Springer
• Release : 30 October 2018

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.

• Author : Zhien Ma
• Publisher : World Scientific
• Release : 24 June 2021

This book provides a systematic introduction to the fundamental methods and techniques and the frontiers of OCo along with many new ideas and results on OCo 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.

• Author : Roy M. Anderson,Robert M. May
• Publisher : Oxford University Press
• Release : 27 August 1992

Combines mathematical models with extensive use of epidemiological and other data to achieve a better understanding of the overall dynamics of populations of pathogens or parasites and their human hosts, thus providing an analytic framework for evaluating public health strategies.

• Author : Rodrick Wallace,Luis Fernando Chaves,Luke R. Bergmann,Constância Ayres,Lenny Hogerwerf,Richard Kock,Robert G. Wallace
• Publisher : Springer
• Release : 22 February 2018

The vector-borne Zika virus joins avian influenza, Ebola, and yellow fever as recent public health crises threatening pandemicity. By a combination of stochastic modeling and economic geography, this book proposes two key causes together explain the explosive spread of the worst of the vector-borne outbreaks. Ecosystems in which such pathogens are largely controlled by environmental stochasticity are being drastically streamlined by both agribusiness-led deforestation and deficits in public health and environmental sanitation. Consequently, a subset of infections that once burned

• Author : Zhilan Feng
• Publisher : World Scientific
• Release : 16 April 2014

Mathematical models can be very helpful to understand the transmission dynamics of infectious diseases. This book presents examples of epidemiological models and modeling tools that can assist policymakers to assess and evaluate disease control strategies. Contents:Mathematical Modeling in Epidemiology:Epidemic ModelsEndemic ModelsApplications to Public Health Policymaking:Applications of Models to Evaluations of Disease Control StrategiesDevelopment of Interactive Tools to Assist Public Health Policymaking Readership: Researchers in mathematical biology, mathematical modeling, infectious diseases and complex systems. Keywords:Epidemiological Model;Population

• Author : Priti Kumar Roy
• Publisher : Springer
• Release : 08 December 2015

The book discusses different therapeutic approaches based on different mathematical models to control the HIV/AIDS disease transmission. It uses clinical data, collected from different cited sources, to formulate the deterministic as well as stochastic mathematical models of HIV/AIDS. It provides complementary approaches, from deterministic and stochastic points of view, to optimal control strategy with perfect drug adherence and also tries to seek viewpoints of the same issue from different angles with various mathematical models to computer simulations. The

• Author : Khalid Hattaf,Hemen Dutta
• Publisher : Springer Nature
• Release : 31 August 2020

This book discusses significant research and study topics related to mathematical modelling and analysis of infectious diseases. It includes several models and modelling approaches with different aims, such as identifying and analysing causes of occurrence and re-occurrence, causes of spreading, treatments and control strategies. A valuable resource for researchers, students, educators, scientists, professionals and practitioners interested in gaining insights into various aspects of infectious diseases using mathematical modelling and mathematical analysis, the book will also appeal to general readers wanting

• Author : Marilyn E. Scott,Gary Smith
• Publisher : Unknown
• Release : 24 June 1994

There are at least two populations involved in any infectious disease process: the population of parasites that cause the disease and the population of hosts that are infected. Parasitic and Infectious Diseases: Epidemiology and Ecology focuses on the interface between these two populations. The various chapters demonstrate how combined field, experimental, and theoretical studies aid in our understanding of the dynamics of infectious disease processes and in formulating control strategies. Moving from the basics of mathematical modeling and epidemiological principles

• Author : Md Mahbubul Huq Riad
• Publisher : Unknown
• Release : 24 June 2021

Infectious disease modeling is crucial to optimize surveillance, preventative measures, and resource allocation. Simulation with infectious disease models is very convenient when the resource requirement for data collection and experimental studies are prohibitively high or even unethical. A vast number of approaches have been proposed to model infectious disease transmission from different perspectives. In this dissertation, we investigate network-based disease models for efficient resource allocation, effective mitigation measures, and accurate risk assessment. We also investigate a filtering-based parameter estimation and

• Author : Anonim
• Publisher : Unknown
• Release : 01 April 1995

• Author : Tariq Halasa,Salome Dürr
• Publisher : Frontiers Media SA
• Release : 18 January 2018

Mathematical models are useful tools to understand the epidemiology and agent-host interaction of diseases. They are developed and applied since over a century, but with increasing computer capacity, they become increasingly prominent as part of evidence based decision making. Mathematical models are frequently used to construct preparedness and contingency plans for highly contagious diseases such as foot-and-mouth disease. This allows proposing effective strategies to control the spread of the disease in case of an incursion, and avails useful tools to

• Author : Vadrevu Sree Hari Rao,Ravi Durvasula
• Publisher : Springer Science & Business Media
• Release : 07 November 2012

Despite 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

• Author : Alexander Krämer,Mirjam Kretzschmar,Klaus Krickeberg
• Publisher : Springer Science & Business Media
• Release : 23 January 2010

Hardly a day goes by without news headlines concerning infectious disease threats. Currently the spectre of a pandemic of influenza A|H1N1 is raising its head, and heated debates are taking place about the pro’s and con’s of vaccinating young girls against human papilloma virus. For an evidence-based and responsible communication of infectious disease topics to avoid misunderstandings and overreaction of the public, we need solid scientific knowledge and an understanding of all aspects of infectious diseases