Modeling to Inform Infectious Disease Control 1st Edition

Mathematical modeling plays a crucial role in the management of infectious diseases by helping assess interventions quickly, cost-effectively, and safely. “Modeling to Inform Infectious Disease Control” provides readers with insights on utilizing these models to develop strategies for controlling infectious disease transmission. The book offers a comprehensive approach to modeling and modeling outcomes that aid in effective infectious disease management and outbreak response.

Understanding the need for vigilance against emerging infectious diseases like HIV, SARS, and Ebola, the book delves into the requirements for preventing epidemics and quantifying the impact of public health interventions on epidemic scale and dynamics. It also demonstrates how data can be leveraged to make informed decisions in model selection.

Written to cater to readers with diverse backgrounds, the book explains statistical modeling for gaining insights into infectious disease management. With exercises at the end of each chapter and glossaries of infectious disease terminology and notation, the text is suitable for graduate-level public health courses. Additional technical material is provided for readers with a strong mathematical background interested in modeling.

About the Author

Niels G. Becker is an emeritus professor of biostatistics at the Australian National University, where he served as the director of the National Centre for Epidemiology and Population Health. With over 150 peer-reviewed articles, Dr. Becker’s research interests include infectious disease management, adverse health event triggers, and foodborne illness analysis.

FAQs

1. How can mathematical modeling help in controlling infectious diseases?

Mathematical modeling provides a tool to assess interventions, understand disease transmission dynamics, and evaluate the impact of control measures, enabling informed decision-making in disease control strategies.

2. Is “Modeling to Inform Infectious Disease Control” suitable for readers with different backgrounds?

Yes, the book is accessible to readers with varied backgrounds and is designed to explain statistical modeling for infectious disease management, making it suitable for a graduate-level public health course.

Conclusion

“Modeling to Inform Infectious Disease Control” offers valuable insights into the application of mathematical modeling for managing infectious diseases effectively. With practical examples, exercises, and supplementary materials, the book serves as a comprehensive guide for understanding and implementing disease control strategies based on modeling outcomes.