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

Ingabire Emma Marie, Kimura Masaomi

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications
出版社Association for Computing Machinery
ページ99-103
ページ数5
ISBN(電子版)9781450377034
DOI
出版ステータスPublished - 2020 6 22
イベント12th International Conference on Computer Modeling and Simulation, ICCMS 2020 and the 9th International Conference on Intelligent Computing and Applications. ICICA 2020 - Virtual, Online, Australia
継続期間: 2020 6 222020 6 24

出版物シリーズ

名前ACM 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
国/地域Australia
CityVirtual, Online
Period20/6/2220/6/24

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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