Literature DB >> 28849734

A complete categorization of multiscale models of infectious disease systems.

Winston Garira1.   

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.

Entities:  

Keywords:  Multiscale modelling; categorization of multiscale models; complex systems; immuno-epidemiological models; infectious disease systems; linking within-host and between-host

Mesh:

Year:  2017        PMID: 28849734     DOI: 10.1080/17513758.2017.1367849

Source DB:  PubMed          Journal:  J Biol Dyn        ISSN: 1751-3758            Impact factor:   2.179


  11 in total

1.  A general method for multiscale modelling of vector-borne disease systems.

Authors:  Winston Garira; Faraimunashe Chirove
Journal:  Interface Focus       Date:  2019-12-13       Impact factor: 3.906

2.  The research and development process for multiscale models of infectious disease systems.

Authors:  Winston Garira
Journal:  PLoS Comput Biol       Date:  2020-04-02       Impact factor: 4.475

3.  A primer on multiscale modelling of infectious disease systems.

Authors:  Winston Garira
Journal:  Infect Dis Model       Date:  2018-09-20

4.  The Replication-Transmission Relativity Theory for Multiscale Modelling of Infectious Disease Systems.

Authors:  Winston Garira
Journal:  Sci Rep       Date:  2019-11-08       Impact factor: 4.379

5.  Modeling and analysis of different scenarios for the spread of COVID-19 by using the modified multi-agent systems - Evidence from the selected countries.

Authors:  Yaroslav Vyklyuk; Mykhailo Manylich; Miroslav Škoda; Milan M Radovanović; Marko D Petrović
Journal:  Results Phys       Date:  2020-12-09       Impact factor: 4.476

6.  Mathematical Modeling Predicts That Strict Social Distancing Measures Would Be Needed to Shorten the Duration of Waves of COVID-19 Infections in Vietnam.

Authors:  Anass Bouchnita; Abdennasser Chekroun; Aissam Jebrane
Journal:  Front Public Health       Date:  2021-01-12

7.  An Embedded Multiscale Modelling to Guide Control and Elimination of Paratuberculosis in Ruminants.

Authors:  Rendani Netshikweta; Winston Garira
Journal:  Comput Math Methods Med       Date:  2021-11-26       Impact factor: 2.238

8.  Multiscale modeling in disease.

Authors:  Ashlee N Ford Versypt
Journal:  Curr Opin Syst Biol       Date:  2021-05-08

9.  Coupling the Macroscale to the Microscale in a Spatiotemporal Context to Examine Effects of Spatial Diffusion on Disease Transmission.

Authors:  Yanni Xiao; Changcheng Xiang; Robert A Cheke; Sanyi Tang
Journal:  Bull Math Biol       Date:  2020-05-10       Impact factor: 1.758

10.  Patch dynamics modeling framework from pathogens' perspective: Unified and standardized approach for complicated epidemic systems.

Authors:  Shi Chen; Yakubu Owolabi; Ang Li; Eugenia Lo; Patrick Robinson; Daniel Janies; Chihoon Lee; Michael Dulin
Journal:  PLoS One       Date:  2020-10-15       Impact factor: 3.240

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