نمایش مختصر رکورد

dc.contributor.authorAkter Akhi, Asmaen_US
dc.contributor.authorTasnim, Farahen_US
dc.contributor.authorAkter, Saimaen_US
dc.contributor.authorKamrujjaman, Md.en_US
dc.date.accessioned1402-04-14T10:27:23Zfa_IR
dc.date.accessioned2023-07-05T10:27:25Z
dc.date.available1402-04-14T10:27:23Zfa_IR
dc.date.available2023-07-05T10:27:25Z
dc.date.issued2023-05-01en_US
dc.date.issued1402-02-11fa_IR
dc.date.submitted2022-05-06en_US
dc.date.submitted1401-02-16fa_IR
dc.identifier.citationAkter Akhi, Asma, Tasnim, Farah, Akter, Saima, Kamrujjaman, Md.. (2023). A mathematical model of a diphtheria outbreak in Rohingya settlement in Bangladesh. Journal of Mahani Mathematical Research Center, 12(2), 547-563. doi: 10.22103/jmmr.2023.19459.1256en_US
dc.identifier.issn2251-7952
dc.identifier.urihttps://dx.doi.org/10.22103/jmmr.2023.19459.1256
dc.identifier.urihttps://jmmrc.uk.ac.ir/article_3628.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/1000526
dc.description.abstractIn this paper, we study the dynamics of the diphtheria outbreak among the immunocompromised group of people, the Rohingya ethnic group. Approximately 800,000 Rohingya refugees are living in the Balukhali refugee camp in Cox's Bazar. The camp is densely populated with the scarcity of proper food, healthcare, and sanitation. Subsequently, in November 2017 a diphtheria epidemic occurred in this camp. To keep up with the pace of the disease spread, medical demands, and disaster planning, we set out to predict diphtheria outbreaks among Bangladeshi Rohingya immigrants. We adopted a modified Susceptible-Latent-Infectious-Recovered (SLIR) transmission model to forecast the possible implications of the diphtheria outbreak in the Rohingya camps of Bangladesh. We discussed two distinct situations: the daily confirmed cases and cumulative data with unique consequences of diphtheria. Data for statistical and numerical simulations were obtained from \cite{Matsuyama}. We used the fourth-order Runge-Kutta method to obtain numerical simulations for varying parameters of the model which would demonstrate conclusive estimates. Daily and cumulative data predictions were explored for alternative values of the parameters i.e., disease transmission rate $(\beta)$ and recovery rate $(\gamma)$. Additionally, the average basic reproduction number for the parameters $\beta$ and $\gamma$ was calculated and displayed graphically. Our analysis demonstrated that the diphtheria outbreak would be under control if the maintenance could perform properly. The results of this research can be utilized by the Bangladeshi government and other humanitarian organizations to forecast disease outbreaks. Furthermore, it might help them to make detailed and practical planning to avoid the worst scenario.en_US
dc.format.extent774
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_US
dc.relation.ispartofJournal of Mahani Mathematical Research Centeren_US
dc.relation.isversionofhttps://dx.doi.org/10.22103/jmmr.2023.19459.1256
dc.subjectSLIR modelen_US
dc.subjectdiphtheriaen_US
dc.subjectstability analysisen_US
dc.subjectmodel validationen_US
dc.subjectnumerical analysisen_US
dc.titleA mathematical model of a diphtheria outbreak in Rohingya settlement in Bangladeshen_US
dc.typeTexten_US
dc.typeResearch Paperen_US
dc.contributor.departmentDepartment of Mathematics, University of Dhaka, Dhaka 1000, Bangladeshen_US
dc.contributor.departmentDepartment of Mathematics, University of Dhaka, Dhaka 1000, Bangladeshen_US
dc.contributor.departmentDepartment of Mathematics, University of Dhaka, Dhaka 1000, Bangladeshen_US
dc.contributor.departmentDepartment of Mathematics, University of Dhaka, Dhaka 1000, Bangladeshen_US
dc.citation.volume12
dc.citation.issue2
dc.citation.spage547
dc.citation.epage563
nlai.contributor.orcid0000-0002-4398-4287
nlai.contributor.orcid0000-0003-3461-5647
nlai.contributor.orcid0000-0001-9472-0524


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