A complete categorization of multiscale models of infectious disease systems. (1st January 2017)

• Record Type: Journal Article
• Authors: Garira, Winston
• Is Part Of: Journal of biological dynamics. Volume 11(2017)supplement 1
• Page Start: 378
• Page End: 435
• Publication Date: 2017-01-01
• Subjects: Multiscale modelling -- immuno-epidemiological models -- linking within-host and between-host -- categorization of multiscale models -- complex systems -- infectious disease systems; Biology -- Mathematical models -- Periodicals; 570.15118
• DOI: 10.1080/17513758.2017.1367849
• Languages: English
• ISSNs: 1751-3758

Abstract

ABSTRACT: Modelling of infectious disease systems has entered a new era in which disease modellers are increasingly turning to multiscale modelling to extend traditional modelling frameworks into new application areas and to achieve higher levels of detail and accuracy in characterizing infectious disease systems. In this paper we present a categorization framework for categorizing multiscale models of infectious disease systems. The categorization framework consists of five integration frameworks and five criteria. We use the categorization framework to give a complete categorization of host-level immuno-epidemiological models (HL-IEMs). This categorization framework is also shown to be applicable in categorizing other types of multiscale models of infectious diseases beyond HL-IEMs through modifying the initial categorization framework presented in this study. Categorization of multiscale models of infectious disease systems in this way is useful in bringing some order to the discussion on the structure of these multiscale models.