Download or read book Mathematical Models for Neglected Tropical Diseases Essential Tools for Control and Elimination Part B written by and published by Academic Press. This book was released on 2016-10-16 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematic Modelling: Improving the Implementation, Monitoring and Evaluation of Interventions, Part B, the latest volume in the Advances in Parasitology series contains comprehensive and up-to-date reviews in the field of mathematic modeling and its implementation within parasitology. The series includes medical studies of parasites of major influence, such as Plasmodium falciparum and trypanosomes, along with reviews of more traditional areas, such as zoology, taxonomy, and life history, all of which shape current thinking and applications. Informs and updates on all the latest developments in mathematic modeling Contains contributions from leading authorities and industry experts Latest installment in the Advances in Parasitology series
Download or read book Mathematical Models for Neglected Tropical Diseases Essential Tools for Control and Elimination Part A written by and published by Academic Press. This book was released on 2015-03-10 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1963, Advances in Parasitology contains comprehensive and up-to-date reviews in all areas of interest in contemporary parasitology. Advances in Parasitology includes medical studies of parasites of major influence, such as Plasmodium falciparum and trypanosomes. The series also contains reviews of more traditional areas, such as zoology, taxonomy, and life history, which shape current thinking and applications. The 2013 impact factor is 4.36. Informs and updates on all the latest developments in the field Contributions from leading authorities and industry experts
Download or read book Mathematical Models for Neglected Tropical Diseases written by Roy M. Anderson and published by . This book was released on 2015 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mathematical Models for Therapeutic Approaches to Control HIV Disease Transmission written by Priti Kumar Roy and published by Springer. This book was released on 2015-12-08 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 book presents essential methods and techniques for students who are interested in designing epidemiological models on HIV/AIDS. It also guides research scientists, working in the periphery of mathematical modeling, and helps them to explore a hypothetical method by examining its consequences in the form of a mathematical modelling and making some scientific predictions. The model equations, mathematical analysis and several numerical simulations that are presented in the book would serve to reveal the consequences of the logical structure of the disease transmission, quantitatively as well as qualitatively. One of the chapters introduces the optimal control approach towards the mathematical models, describing the optimal drug dosage process that is discussed with the basic deterministic models dealing with stability analysis. Another one chapter deals with the mathematical analysis for the perfect drug adherence for different drug dynamics during the treatment management. The last chapter of the book consists the stochastic approach to the disease dynamics on HIV/AIDS. This method helps to move the disease HIV/AIDS to extinction as the time to increase. This book will appeal to undergraduate and postgraduate students, as well as researchers, who are studying and working in the field of bio-mathematical modelling on infectious diseases, applied mathematics, health informatics, applied statistics and qualitative public health, etc. Social workers, who are working in the field of HIV, will also find the book useful for complements.
Download or read book Mathematical Models in Epidemiology written by Fred Brauer and published by Springer Nature. This book was released on 2019-10-10 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Mathematical Models of Infectious Diseases and Social Issues written by Shah, Nita H. and published by IGI Global. This book was released on 2020-06-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: When deadly illness spreads through a population at a rapid pace, time may be of the essence in order to save lives. Using mathematics as a language to interpret assumptions concerning the biological and population mechanics, one can make predictions by analyzing actual epidemiological data using mathematical tests and results. Mathematical models can help us understand the right disease status and predict the effects of the disease on populations, which can help limit the spread and devastation of the illness. Mathematical Models of Infectious Diseases and Social Issues is a collection of innovative research that examines the dynamics of diseases and their effect on populations. Featuring coverage of a broad range of topics including deterministic models, environmental pollution, and social issues, this book is ideally designed for diagnosticians, clinicians, healthcare providers, pharmacists, government health officials, policymakers, academicians, researchers, and students.
Download or read book Mathematical Models for Communicable Diseases written by Fred Brauer and published by SIAM. This book was released on 2013-02-07 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained and comprehensive guide to the mathematical modeling of disease transmission, appropriate for graduate students.
Download or read book Mathematical Modelling and Analysis of Infectious Diseases written by Khalid Hattaf and published by Springer Nature. This book was released on 2020-07-30 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 to understand the dynamics of various diseases and related issues. Key Features Mathematical models that describe population prevalence or incidence of infectious diseases Mathematical tools and techniques to analyse data on the incidence of infectious diseases Early detection and risk estimate models of infectious diseases Mathematical models that describe the transmission of infectious diseases and analyse data Dynamical analysis and control strategies for infectious diseases Studies comparing the utility of particular models in describing infected diseases-related issues such as social, health and economic
Download or read book Mathematical Modeling Approach To Infectious Diseases A Cross Diffusion Pde Models For Epidemiology written by Schiesser William E and published by World Scientific. This book was released on 2018-06-27 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mathematical Understanding of Infectious Disease Dynamics written by Stefan Ma and published by World Scientific. This book was released on 2009 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Institute for Mathematical Sciences at the National University of Singapore hosted a research program on Mathematical Modeling of Infectious Diseases: Dynamics and Control from 15 August to 9 October 2005. As part of the program, tutorials for graduate students and junior researchers were given by leading experts in the field.
Download or read book Mathematical Modelling of Neglected Tropical Disease Control with Particular Reference to Schistosomiasis in Sub Saharan Africa written by Michael Duncan French and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The overarching aim of the thesis is the use of mathematical models to provide policy-relevant guidance to neglected tropical disease (NTD) control programmes, particularly those against schistosomiasis, identified following discussions with Schistosomiasis Control Initiative (SCI) staff, and utilising the SCl's extensive datasets from sub-Saharan Africa. Firstly, changes are estimated in the force of infection (Fa/) of schistosomes following annual control in Uganda, relative to baseline, expressed as the number of mature parasites acquired per host per year. It is known that praziquantel treatment results in significant reductions in infection intensity in treated individuals; however, the thesis shows that Fal reductions also result in benefits for untreated individuals. Models are developed, parameterized and fitted to Schistosoma mansoni (intestinal schistosomiasis) data from areas with differing initial endemicity, and results indicate significant and substantial reductions following treatment. Models are developed further to estimate reductions in the Fal of S. haematobium (urogenital schistosomiasis) and used in other SCI locations (Uganda, Tanzania, Burkina Faso, Niger, Mali, Zambia). Secondly, the thesis investigates changes in schistosome population genetic structure following chemotherapy to gain insights into the transmission and clinical processes of the disease. Large-scale chemotherapy-based control likely exerts strong selective pressure on parasite populations. Recently developed microsatellite markers have demonstrated significant reductions in S. mansoni genetic diversity following one round of treatment. This may have implications for the parasite's evolutionary potential and the future success of such campaigns. Stochastic re-sampling approaches are used to estimate the magnitude of changes, the robustness of the microsatellite markers used, and to identify optimum sampling frameworks in terms of numbers of hosts, and numbers of parasites per host required, in order to detect changes in parasite population structure. Finally, results are discussed in terms of the role that models can play in the implementation, monitoring and evaluation of programmes for NTD control, and current research gaps are high lighted.
Download or read book Bayesian Geostatistical and Mathematical Models to Assess the Geographical Distribution of Neglected Tropical Diseases written by Yingsi Lai and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Introduction to Mathematical Modeling of Infectious Diseases written by Michael Y. Li and published by Springer. This book was released on 2018-01-30 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 rigorous mathematical manner, the style is not unfriendly to non-mathematicians.
Download or read book Modeling Infectious Diseases in Humans and Animals written by Matt J. Keeling and published by Princeton University Press. This book was released on 2011-09-19 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 used to generate theory. In each of the eight chapters, they deal with a specific modeling approach or set of techniques designed to capture a particular biological factor. They illustrate the methodology used with examples from recent research literature on human and infectious disease modeling, showing how such techniques can be used in practice. Diseases considered include BSE, foot-and-mouth, HIV, measles, rubella, smallpox, and West Nile virus, among others. Particular attention is given throughout the book to the development of practical models, useful both as predictive tools and as a means to understand fundamental epidemiological processes. To emphasize this approach, the last chapter is dedicated to modeling and understanding the control of diseases through vaccination, quarantine, or culling. Comprehensive, practical introduction to infectious disease modeling Builds from simple to complex predictive models Models and methodology fully supported by examples drawn from research literature Practical models aid students' understanding of fundamental epidemiological processes For many of the models presented, the authors provide accompanying programs written in Java, C, Fortran, and MATLAB In-depth treatment of role of modeling in understanding disease control
Download or read book Mathematical Tools for Understanding Infectious Disease Dynamics written by Odo Diekmann and published by Princeton University Press. This book was released on 2013 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology.
Download or read book An Introduction to Infectious Disease Modelling written by Emilia Vynnycky and published by Oxford University Press, USA. This book was released on 2010-05-13 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Impact of the COVID 19 pandemic on seven neglected tropical diseases written by and published by World Health Organization. This book was released on 2021-06-04 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
