skip navigation


Register for Latest Research

Stay Informed
Register with NCJRS to receive NCJRS's biweekly e-newsletter JUSTINFO and additional periodic emails from NCJRS and the NCJRS federal sponsors that highlight the latest research published or sponsored by the Office of Justice Programs.

NCJRS Abstract

The document referenced below is part of the NCJRS Virtual Library collection. To conduct further searches of the collection, visit the Virtual Library. See the Obtain Documents page for direction on how to access resources online, via mail, through interlibrary loans, or in a local library.


NCJ Number: 193062 
Title: Application of Mathematical Models in Infectious Disease Research (From Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Terrorism, P 31-46, 2001, Tony J. Beugelsdijk, Scott P. Layne, et al., eds. -- See NCJ-193061)
Author(s): Roy M. Anderson
Date Published: 2001
Page Count: 16
Sponsoring Agency: Joseph Henry Press
Washington, DC 20418
Sale Source: Joseph Henry Press
2101 Constitution Avenue, N.W.
Washington, DC 20418
United States of America
Type: Research Paper
Format: Book Chapter
Language: English
Country: United States of America
Annotation: In this chapter the use of mathematical methods in research on infectious disease problems was addressed in terms of their emergence, spread, and control.
Abstract: Concerns have spread across the globe on the emergence and introduction of infectious diseases. The application of mathematical models can be developed to estimate the size and speed of spread of an emerging epidemic, irrespective of the nature of the infectious agent or the size and spatial distribution of the affected population. Mathematical analysis can offer precision to complicated fields, such as biology. It has the potential to provide a powerful tool to demonstrate or assess the use or impact of a particular intervention before it is put into practice. These models aid in the development of policy options for containment and assist in the development of guidelines for effective population treatment programs. The chapter reviewed limitations of various mathematical models, the construction of cost-benefit models, and the application of simple deterministic models to study HIV pathogenesis, viral life and infected cell life expectancies, the rate of evolution of drug resistance, and the dynamics of the immune system when invaded by the virus. Tables and references
Main Term(s): Domestic Preparedness
Index Term(s): AIDS/HIV epidemiology; Biological influences; Critical Infrastructure Protection; Diseases; Mathematical modeling; Medical Readiness
To cite this abstract, use the following link:

*A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's website is provided. Tell us how you use the NCJRS Library and Abstracts Database - send us your feedback.