Affordable Access

Publisher Website

The application of simulation models and systems analysis in epidemiology: a review

Authors
Journal
Preventive Veterinary Medicine
0167-5877
Publisher
Elsevier
Publication Date
Volume
15
Identifiers
DOI: 10.1016/0167-5877(93)90105-3
Disciplines
  • Biology
  • Computer Science
  • Mathematics
  • Medicine

Abstract

Abstract A method for classifying epidemiologic process models is presented along with a brief history of epidemiologic modeling. Epidemiologic models are distinguished as being associative or process models. Associative models attempt to establish etiology by observing the associations of various risk factors with the occurrence of disease. Process models attempt to quantitatively describe the course of disease in a dynamic population. This begins with a hypothesis regarding the underlying structural processes involved. A process model can be classified further according to: (1) how it models the effect of chance; (2) application perspective; (3) the mathematical treatment of time; (4) the computational treatment of individuals; (5) the method for determining a solution. The literature was reviewed for examples of applied epidemiologic process models. Examples are cited and classified according to the classification method proposed in this paper. Suggestions for appropiate applications of various models and further research are made.

There are no comments yet on this publication. Be the first to share your thoughts.