Modeling Disease Spread And Control
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| Author | : Christon J. Hurst |
| Publisher | : Springer |
| Total Pages | : 290 |
| Release | : 2017-08-31 |
| Genre | : Science |
| ISBN | : 3319606166 |
This volume focuses on blocking disease transmission and the ecological perspective of pathogens and pathogenic processes. The chapters on blocking transmission cover the environmental safety of space flight, biocides and biocide resistance, as well as infection control in healthcare facilities. The book also offers insights into the ecological aspects of infectious disease, introducing the reader to the role of indigenous gut microbiota in maintaining human health and current discussions on environmentally encountered bacterial and fungal pathogens including species that variously cause the necrotizing skin disease Buruli ulcer and coccidioidomycosis. Further, it explores the influenza A virus as an example for understanding zoonosis. It is a valuable resource for microbiologists and biomedical scientists alike.
| Author | : Piero Manfredi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 329 |
| Release | : 2013-01-04 |
| Genre | : Mathematics |
| ISBN | : 1461454743 |
This volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account. With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and to advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology.
| Author | : Xinzhi Liu |
| Publisher | : Springer |
| Total Pages | : 279 |
| Release | : 2017-02-25 |
| Genre | : Mathematics |
| ISBN | : 3319532081 |
This volume presents infectious diseases modeled mathematically, taking seasonality and changes in population behavior into account, using a switched and hybrid systems framework. The scope of coverage includes background on mathematical epidemiology, including classical formulations and results; a motivation for seasonal effects and changes in population behavior, an investigation into term-time forced epidemic models with switching parameters, and a detailed account of several different control strategies. The main goal is to study these models theoretically and to establish conditions under which eradication or persistence of the disease is guaranteed. In doing so, the long-term behavior of the models is determined through mathematical techniques from switched systems theory. Numerical simulations are also given to augment and illustrate the theoretical results and to help study the efficacy of the control schemes.
| Author | : Niels G. Becker |
| Publisher | : CRC Press |
| Total Pages | : 217 |
| Release | : 2015-04-28 |
| Genre | : Mathematics |
| ISBN | : 1498731074 |
Effectively Assess Intervention Options for Controlling Infectious DiseasesOur experiences with the human immunodeficiency virus (HIV), severe acute respiratory syndrome (SARS), and Ebola virus disease (EVD) remind us of the continuing need to be vigilant against the emergence of new infectious diseases. Mathematical modeling is increasingly used i
| Author | : Emilia Vynnycky |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 401 |
| Release | : 2010-05-13 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 0198565763 |
Mathematical models are increasingly used to guide public health policy decisions and explore questions in infectious disease control. Written for readers without advanced mathematical skills, this book provides an introduction to this area.
| Author | : Ibrahim Abubakar |
| Publisher | : Oxford University Press |
| Total Pages | : 295 |
| Release | : 2016-04-07 |
| Genre | : Medical |
| ISBN | : 0191030554 |
Infectious Disease Epidemiology is a concise reference guide which provides trainees and practicing epidemiologists with the information that they need to understand the basic concepts necessary for working in this specialist area. Divided into two sections, part one comprehensively covers the basic principles and methods relevant to the study of infectious disease epidemiology. It is organised in order of increasing complexity, ranging from a general introduction to subjects such as mathematical modelling and sero-epidemiology. Part two examines key major infectious diseases that are of global significance. Grouped by their route of transmission for ease of reference, they include diseases that present a particular burden or a high potential for causing mortality. This practical guide will be essential reading for postgraduate students in infectious disease epidemiology, health protection trainees, and practicing epidemiologists.
| Author | : Fred Brauer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 415 |
| Release | : 2008-04-30 |
| Genre | : Medical |
| ISBN | : 3540789103 |
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 Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca).
| Author | : Ottar N. Bjørnstad |
| Publisher | : Springer |
| Total Pages | : 318 |
| Release | : 2018-10-30 |
| Genre | : Medical |
| ISBN | : 3319974874 |
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. Temporally, some diseases have little variation in prevalence, some have predictable seasonal shifts and others exhibit violent epidemics that may be regular or irregular in their timing. Models and ‘models-with-data’ have proved invaluable for understanding and predicting this diversity, and thence help improve intervention and control. Using mathematical models to understand infectious disease dynamics has a very rich history in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of Epidemics: Models and Data using R have been organized in a reasonably logical way: Chapters 1-10 is a mix and match of models, data and statistics pertaining to local disease dynamics; Chapters 11-13 pertains to spatial and spatiotemporal dynamics; Chapter 14 highlights similarities between the dynamics of infectious disease and parasitoid-host dynamics; Finally, Chapters 15 and 16 overview additional statistical methodology useful in studies of infectious disease dynamics. This book can be used as a guide for working with data, models and ‘models-and-data’ to understand epidemics and infectious disease dynamics in space and time.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 149 |
| Release | : 2018-06-08 |
| Genre | : Medical |
| ISBN | : 0309474426 |
The urban built environment is a prime setting for microbial transmission, because just as cities serve as hubs for migration and international travel, components of the urban built environment serve as hubs that drive the transmission of infectious disease pathogens. The risk of infectious diseases for many people living in slums is further compounded by their poverty and their surrounding physical and social environment, which is often overcrowded, is prone to physical hazards, and lacks adequate or secure housing and basic infrastructure, including water, sanitation, or hygiene services. To examine the role of the urban built environment in the emergence and reemergence of infectious diseases that affect human health, the National Academies of Sciences, Engineering, and Medicine planned a public workshop. This publication summarizes the presentations and discussions from the workshop.
| Author | : Roy M. Anderson |
| Publisher | : Oxford University Press |
| Total Pages | : 772 |
| Release | : 1991 |
| Genre | : Medical |
| ISBN | : 9780198540403 |
This book deals with infectious diseases -- viral, bacterial, protozoan and helminth -- in terms of the dynamics of their interaction with host populations. The book combines mathematical models with extensive use of epidemiological and other data. This analytic framework is highly useful for the evaluation of public health strategies aimed at controlling or eradicating particular infections. Such a framework is increasingly important in light of the widespread concern for primary health care programs aimed at such diseases as measles, malaria, river blindness, sleeping sickness, and schistosomiasis, and the advent of AIDS/HIV and other emerging viruses. Throughout the book, the mathematics is used as a tool for thinking clearly about fundamental and applied problems having to do with infectious diseases. The book is divided into two parts, one dealing with microparasites (viruses, bacteria and protozoans) and the other with macroparasites (helminths and parasitic arthropods). Each part begins with simple models, developed in a biologically intuitive way, and then goes on to develop more complicated and realistic models as tools for public health planning. The book synthesizes previous work in this rapidly growing field (much of which is scattered between the ecological and the medical literature) with a good deal of new material.
