A mathematical model for cost-effectiveness analysis and early detection of leptospirosis in human

dc.authorid0000-0002-9188-167Xen_US
dc.contributor.authorAslan, İbrahim Halil
dc.contributor.authorLenhart, Suzanne
dc.date.accessioned2021-04-16T10:20:36Z
dc.date.available2021-04-16T10:20:36Z
dc.date.issued2020-12-21en_US
dc.departmentBatman Üniversitesi Fen - Edebiyat Fakültesi Matematik Bölümüen_US
dc.description.abstractIn this study, we developed a computational algorithm under stochasticity by using Markov-cycle tree and Monte Carlo simulations for patients coming into a hospital and being suspected of leptospirosis. Our mathematical model finds an optimal treatment strategy for the patients depending on whether they have severe or mild symptoms and whether they are late case patients who are coming to the hospital after seven days of onset of their symptoms or early case patients who are coming to the hospital within seven days of onset of their symptoms. The model is a useful tool to determine the treatment strategies during flood session for a large group of patients.en_US
dc.identifier.citationAslan, İ. H., Lenhart, S. (2021). A mathematical model for cost-effectiveness analysis and early detection of leptospirosis in human. Journal of Abstract and Computational Mathematics, 6 (1), pp. 21-31.en_US
dc.identifier.endpage31en_US
dc.identifier.issn2149-7168
dc.identifier.issue1en_US
dc.identifier.startpage21en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12402/2919
dc.identifier.volume6en_US
dc.language.isoenen_US
dc.relation.journalJournal of Abstract and Computational Mathematicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectMarkov-Cycle Treeen_US
dc.subjectMonte Carlo Simulationsen_US
dc.subjectLeptospirosisen_US
dc.titleA mathematical model for cost-effectiveness analysis and early detection of leptospirosis in humanen_US
dc.typeArticleen_US

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