
As an Amazon Associate and affiliate partner, Menrva Books earns from qualifying purchases. Learn more
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.
This book investigates the mathematical dynamics of infectious disease transmission and the application of these models to public health control strategies. The authors, Roy M. Anderson and Robert M. May, utilize their extensive expertise in theoretical biology and epidemiology to bridge the gap between ecological theory and clinical practice. By integrating mathematical frameworks with empirical data, the text provides a rigorous method for evaluating the efficacy of interventions against a wide range of viral, bacterial, and parasitic pathogens.
What You Will Find
Experts widely recognize this work as a foundational text in the field of mathematical epidemiology. Readers frequently note the high level of technical density, making it a primary resource for researchers and public health professionals seeking to understand the quantitative mechanics of disease control.
Page Count:
768
Publication Date:
1992-09-24
Publisher:
Oxford University Press
ISBN-10:
019854040X
ISBN-13:
9780198540403
No comments yet. Be the first to share your thoughts!