Mathematical Model for the Ebola Virus Disease

dc.contributor.authorAkgul, Ali
dc.contributor.authorKhoshnaw, Sarbaz H. A.
dc.contributor.authorMohammed, Wali H.
dc.date.accessioned2024-12-24T19:29:50Z
dc.date.available2024-12-24T19:29:50Z
dc.date.issued2018
dc.departmentSiirt Üniversitesi
dc.description.abstractMathematical modeling for epidemic models are important tools in systems biology. Studying the behavior of diseases models frequently needs some methods of model analysis. The suggested computational tools of model analysis here significantly play in calculating some numerical approximate solutions and also identifying critical model elements. The suggested mathematical model of Ebola virus diseases helps us for further studying and understanding the disease in many ways such as integrate experimental knowledge into a coherent picture, calculating model population of state variables provides suggestions for its future development and identifying critical model parameters in this study is another way to study the model practically and give some suggestions for future improvements of the disease. More interestingly, the results in this project will help international efforts to control the Ebola in countries in West Africa.
dc.identifier.doi10.1166/jap.2018.1407
dc.identifier.endpage198
dc.identifier.issn2168-1996
dc.identifier.issn2168-2003
dc.identifier.issue2
dc.identifier.startpage190
dc.identifier.urihttps://doi.org/10.1166/jap.2018.1407
dc.identifier.urihttps://hdl.handle.net/20.500.12604/7270
dc.identifier.volume7
dc.identifier.wosWOS:000445558300006
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherAmer Scientific Publishers
dc.relation.ispartofJournal of Advanced Physics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectMathematical Modeling
dc.subjectChemical Kinetics
dc.subjectInfectious Disease Models
dc.subjectSensitivity Analysis
dc.titleMathematical Model for the Ebola Virus Disease
dc.typeArticle

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