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Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/34437
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dc.contributor.authorAgarwal, Praveenpt_PT
dc.contributor.authorNieto, Juan J.pt_PT
dc.contributor.authorTorres, Delfim F. M.pt_PT
dc.date.accessioned2022-08-11T14:38:05Z-
dc.date.available2022-08-11T14:38:05Z-
dc.date.issued2022-
dc.identifier.isbn978-0-323-90504-6pt_PT
dc.identifier.urihttp://hdl.handle.net/10773/34437-
dc.description.abstractMathematical Analysis of Infectious Diseases updates on the mathematical and epidemiological analysis of infectious diseases. Epidemic mathematical modeling and analysis is important, not only to understand disease progression, but also to provide predictions about the evolution of disease. One of the main focuses of the book is the transmission dynamics of the infectious diseases like COVID-19 and the intervention strategies. It also discusses optimal control strategies like vaccination and plasma transfusion and their potential effectiveness on infections using compartmental and mathematical models in epidemiology like SI, SIR, SICA, and SEIR. The book also covers topics like: biodynamic hypothesis and its application for the mathematical modeling of biological growth and the analysis of infectious diseases, mathematical modeling and analysis of diagnosis rate effects and prediction of viruses, data-driven graphical analysis of epidemic trends, dynamic simulation and scenario analysis of the spread of diseases, and the systematic review of the mathematical modeling of infectious disease like coronaviruses.pt_PT
dc.description.sponsorshipMinistry of Science and High Education of the Russian Federation and the Peoples Friendship University of Russia; RUDN University Strategic Academic Leadership Program; Agencia Estatal de Investigacion (AEI) of Spain; Instituto de Salud Carlos III; Xunta de Galicia; Center for Research and Development in Mathematics and Applications (CIDMA) and the Portuguese Foundation for Science and Technology (FCT).pt_PT
dc.language.isoengpt_PT
dc.publisherAcademic Press, Elsevierpt_PT
dc.relationProject 02011/12/2020 NBHM (R.P)/RD II/7867pt_PT
dc.relationGrant PID2020-113275GB-I00, AEIpt_PT
dc.relationGrant COV20/00617pt_PT
dc.relationGrant ED431C 2019/02pt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04106%2F2020/PTpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04106%2F2020/PTpt_PT
dc.rightsrestrictedAccesspt_PT
dc.subjectAnalytical and numerical techniques for virus modelspt_PT
dc.subjectMathematical modeling and its applications in treating infectious diseases and analyzing their spreading ratespt_PT
dc.subjectApplication of differential equations for analyzing disease problemspt_PT
dc.subjectProbability distribution and bio-mathematical applicationspt_PT
dc.titleMathematical analysis of infectious diseasespt_PT
dc.typebookpt_PT
dc.description.versionpublishedpt_PT
degois.publication.locationLondon, United Kingdompt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/book/9780323905046/mathematical-analysis-of-infectious-diseasespt_PT
dc.identifier.doi10.1016/C2020-0-03443-2pt_PT
dc.identifier.esbn978-0-323-90458-2pt_PT
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