Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/2180
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dc.contributor.authorHaque, Zasmin-
dc.date.accessioned2024-06-06T08:55:25Z-
dc.date.available2024-06-06T08:55:25Z-
dc.date.issued2024-03-27-
dc.identifier.citation0.33en_US
dc.identifier.issn1823-
dc.identifier.urihttp://dspace.aiub.edu:8080/jspui/handle/123456789/2180-
dc.description.abstractThis study aims to investigate the role of individuals with natural immunity in contributing to the overall spread of Marburg virus infection, a highly lethal human pathogen. Marburg virus was initially identified in 1967 during a significant outbreak in Marburg, Germany, and Belgrade, Serbia. Notably, there are currently no approved vaccines or treatments for Marburg virus in fection due to its alarmingly high fatality rate. The study developed a mathematical model to better understand the transmission dynamics of Marburg virus disease (MVD), specifically fo cusing on the spread of infected individuals. Initial analysis employed established methods, evaluating factors such as the positive assessments, the basic reproduction number, and equilib rium point stability. This analytical approach provided valuable insights into MVD dynamics. Following this, numerical simulations were conducted to visually depict the outcomes derived from the analytical analysis. These simulations provided a more comprehensive understanding of the complex dynamics of MVD. Finally, this study presents a comprehensive analysis of Mar burg virus transmission dynamics, shedding light on the impact of natural immunity on disease spread and emphasizing the significance of isolation strategies in mitigating the outbreak of this highly lethal pathogen.en_US
dc.description.sponsorshipThe author, M. Kamrujjaman research, was partially supported by the Uni versity Grants Commission (UGC), and the University of Dhaka, Bangladesh.en_US
dc.language.isoenen_US
dc.publisherUniversiti Putra Malaysiaen_US
dc.subjectmathematical modelen_US
dc.subjectnatural immunity systemen_US
dc.subjectMVDen_US
dc.subjectnumerical simulationsen_US
dc.titleMarburg Virus and Risk Factor Among Infected Population: A Modeling Studyen_US
dc.typeOtheren_US
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