Garira2019 - A coupled multiscale model to guide malaria control and elimination

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Model Identifier
MODEL2003190008
Short description 
This is a coupled multiscale mathematical model of malaria control and elimination containing four submodels: mosquito-to-human transmission of the malaria parasite, human-to-mosquito transmission of the malaria parasite, a within-mosquito malaria parasite population dynamics sub-model and a within-human malaria parasite population dynamics sub-model.

Model is encoded by Johannes and submitted to BioModels by Ahmad Zyoud.
Format
SBML (L2V4)
Related Publication
  • A coupled multiscale model to guide malaria control and elimination.
  • Garira W, Mathebula D
  • Journal of theoretical biology , 5/ 2019 , Volume 475 , pages: 34-59 , PubMed ID: 31128139
  • Modelling Health and Environmental Linkages Research Group (MHELRG), Department of Mathematics and Applied Mathematics, University of Venda, Private Bag X5050, Thohoyandou 0950, South Africa. Electronic address: wgarira@gmail.com.
  • In this paper, we share with the biomathematics community a new coupled multiscale model which has the potential to inform policy and guide malaria control and elimination. The formulation of this multiscale model is based on integrating four submodels which are: (i) a sub-model for the mosquito-to-human transmission of malaria parasite, (ii) a sub-model for the human-to-mosquito transmission of malaria parasite, (iii) a within-mosquito malaria parasite population dynamics sub-model and (iv) a within-human malaria parasite population dynamics sub-model. The integration of the four submodels is achieved by assuming that the transmission parameters of the sub-model for the mosquito-to-human transmission of malaria at the epidemiological scale are functions of the dependent variables of the within-mosquito sporozoite population dynamics while the transmission parameters of the sub-model for the human-to-mosquito transmission of malaria are functions of the dependent variables of the within-human gametocyte population dynamics. This establishes a unidirectionally coupled multiscale model where the within-human and within-mosquito submodels are unidirectionally coupled to the human-to-mosquito and mosquito-to-human submodels. A fast and slow time scale analysis is performed on this system. The result is a simple multiscale model which describes the mechanics of malaria transmission in terms of the major components of the complete malaria parasite life-cycle. This multiscale modelling approach may be found useful in guiding malaria control and elimination.
Contributors
Submitter of the first revision: Ahmad Zyoud
Submitter of this revision: Ahmad Zyoud
Modellers: Ahmad Zyoud

Metadata information

isDescribedBy (1 statement)
PubMed 31128139

hasProperty (3 statements)
Mathematical Modelling Ontology Ordinary differential equation model
NCIt Malaria
NCIt Transmission

Curation status
Non-curated
Modelling approach(es)
ordinary differential equation model
Tags

Connected external resources

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Model files
Garira2019.xml SBML L2V4 Garira2019 - A coupled multiscale model to guide malaria control and elimination_Original 72.98 KB Preview | Download

Additional files
Garira2019.cps COPASI version 4.27 (Build 217) Garira2019 - A coupled multiscale model to guide malaria control and elimination_Original 124.54 KB Preview | Download

  • Model originally submitted by : Ahmad Zyoud
  • Submitted: Mar 19, 2020 9:39:31 PM
  • Last Modified: Mar 19, 2020 9:39:31 PM
Revisions
  • Version: 1 public model Download this version
    • Submitted on: Mar 19, 2020 9:39:31 PM
    • Submitted by: Ahmad Zyoud
    • With comment: Import of Garira2019 - A coupled multiscale model to guide malaria control and elimination