Effects of Metapopulation Mobility and Climate Change in SI-SIR Model for Malaria Disease

Ingabire Emma Marie, Kimura Masaomi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The aim of this study is to improve the SI-SIR model as a predictive mathematical model for a spreading disease with the metapopulation mobility and climate change as main factors. In the previous study, we focused on the mosquito change depending on seasonal climate change, such as temperature and humidity. However, the transmission of the disease through a bite and the transporter mobility can be also important factors. Thus, we focused on the mobility of the population for both human and mosquitoes as a cause of the disease spreading. Rwanda, Uganda and Republic Democratic of Congo are neighbor countries and were selected in this study as a case study for the mobility of the population with the information provided by the migration of Rwanda. Population migration among these countries was statistically generated and applied to the SI-SIR model with the combination of the climate change analysis.

Original languageEnglish
Title of host publicationProceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications
PublisherAssociation for Computing Machinery
Pages99-103
Number of pages5
ISBN (Electronic)9781450377034
DOIs
Publication statusPublished - 2020 Jun 22
Event12th International Conference on Computer Modeling and Simulation, ICCMS 2020 and the 9th International Conference on Intelligent Computing and Applications. ICICA 2020 - Virtual, Online, Australia
Duration: 2020 Jun 222020 Jun 24

Publication series

NameACM International Conference Proceeding Series

Conference

Conference12th International Conference on Computer Modeling and Simulation, ICCMS 2020 and the 9th International Conference on Intelligent Computing and Applications. ICICA 2020
Country/TerritoryAustralia
CityVirtual, Online
Period20/6/2220/6/24

Keywords

  • SI-SIR model
  • climate change
  • malaria
  • metapopulation mobility
  • sub-Sahara

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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