SDE model of SARS disease in Hong Kong and Singapore with parameter stochasticity

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

A Stochastic Differential Equation (SDE) of SARS disease will be discussed in this article involving the randomness of transmission and recovery rate parameters. Intervention of medical mask and medical treatment will be included in the model in order to get a better understanding about a possibility of scenario to control the spread of SARS. Based on the infectious data from Singapore and Hong Kong, the parameters of the model will be approximated by the Least Square method. Numerical simulations of infected individual will be derived by the Euler-Maruyama method. Numerical simulations investigates some possible intervention scenarios: using medical mask, medical treatment, and both interventions.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017
EditorsRatna Yuniati, Terry Mart, Ivandini T. Anggraningrum, Djoko Triyono, Kiki A. Sugeng
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735417410
DOIs
Publication statusPublished - 22 Oct 2018
Event3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017 - Bali, Indonesia
Duration: 26 Jul 201727 Jul 2017

Publication series

NameAIP Conference Proceedings
Volume2023
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017
Country/TerritoryIndonesia
CityBali
Period26/07/1727/07/17

Keywords

  • Euler-Maruyama method
  • SARS
  • Stochastic differential equation
  • medical mask
  • medical treatment

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