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Modeling to Inform Infectious Disease Control

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Modeling to Inform Infectious Disease Control explores the use of mathematical modelling to assess and guide interventions against infectious diseases such as HIV, SARS, and Ebola. The book explains how models can quickly and safely evaluate strategies to prevent and control epidemics, illustrating the process from data collection to model choice. It covers essential concepts in infectious disease transmission, public health interventions, and outbreak management with accessible explanations and practical exercises, making it suitable for graduate-level public health studies.
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Format: Hardback
$21200
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Ideal for graduate students and professionals in public health, epidemiology, and mathematical modelling who seek to understand and apply statistical methods in infectious disease control. The book also serves as a reference for researchers interested in outbreak response and intervention strategy development.

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Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Effectively Assess Intervention Options for Controlling Infectious Diseases

Our 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 modelling is increasingly used in the management of infectious disease control as a way to assess interventions relatively quickly, cheaply, and safely. Modeling to Inform Infectious Disease Control shows readers how to take advantage of these models when developing strategies to mitigate infectious disease transmission.

The book presents a way of modelling as well as modelling results that help to guide the effective management of infectious disease transmission and outbreak response. It discusses the requirements for preventing epidemics and ways to quantify the impact of preventative public health interventions on the size and dynamics of an epidemic. The book also illustrates how data are used to inform model choice.

Accessible to readers with diverse backgrounds, this book explains how to gain insight into the management of infectious diseases through statistical modelling. With end-of-chapter exercises and glossaries of infectious disease terminology and notation, the text is suitable for a graduate-level public health course. Supplementary technical material is provided at the end of each chapter for readers with a stronger background in mathematics and an interest in the art of modelling. In addition, bibliographic notes point readers to literature in which extensions and more general results can be found.

Book Details

INFORMATION

ISBN: 9781498731065

Publisher: Taylor & Francis Inc

Format: Hardback

Date Published: 28 April 2015

Country: United States

Imprint: Chapman & Hall/CRC

Audience: Professional and scholarly

DIMENSIONS

Width: 156.0mm

Height: 234.0mm

Weight: 476g

Pages: 220

About the Author

Niels G. Becker is an emeritus professor of biostatistics at the Australian National University, where he was the director of the National Centre for Epidemiology and Population Health from 2007 until 2011. Dr. Becker has published more than 150 peer-reviewed articles. His research interests include the control of infectious diseases, triggers of adverse health events, and the analysis of foodborne disease data.

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