portada Modeling to Inform Infectious Disease Control (en Inglés)

Modeling to Inform Infectious Disease Control (en Inglés)

Formato

Libro Físico

Autor

Niels G. Becker

Editorial

CRC Press

Idioma

Inglés

N° páginas

220

Encuadernación

Tapa Dura

Dimensiones

23.6x15.5x1.8 cm

Peso

0.45 kg.

ISBN13

9781498731065

Categorías

Epidemiología y estadística médica
Enfermedades infectocontagiosas
Probabilidad y estadística

Modeling to Inform Infectious Disease Control (en Inglés)

Niels G. Becker (Autor) · CRC Press · Tapa Dura

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Reseña del libro "Modeling to Inform Infectious Disease Control (en Inglés)"

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 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 modeling as well as modeling 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 modeling. 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 modeling. In addition, bibliographic notes point readers to literature in which extensions and more general results can be found.