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001433811 001__ 1433811
001433811 003__ OCoLC
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001433811 020__ $$a9789813364165$$q(electronic bk.)
001433811 020__ $$a9813364165$$q(electronic bk.)
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001433811 0247_ $$a10.1007/978-981-33-6416-5$$2doi
001433811 035__ $$aSP(OCoLC)1237379365
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001433811 049__ $$aISEA
001433811 050_4 $$aRA644.C67
001433811 08204 $$a614.5/92414$$223
001433811 1001_ $$aNesteruk, Igor,$$eauthor.
001433811 24510 $$aCOVID-19 pandemic dynamics :$$bmathematical simulations /$$cIgor Nesteruk.
001433811 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001433811 300__ $$a1 online resource
001433811 336__ $$atext$$btxt$$2rdacontent
001433811 337__ $$acomputer$$bc$$2rdamedia
001433811 338__ $$aonline resource$$bcr$$2rdacarrier
001433811 347__ $$atext file
001433811 347__ $$bPDF
001433811 5050_ $$aIntroduction -- Data used for calculations, comparisons and verifications -- Classical SIR model and the exact solution of differential equations -- Results of SIR simulation for the pandemic dynamics in different countries and regions -- Procedures of the parameter identification for the waves of epidemics -- Conclusions.
001433811 506__ $$aAccess limited to authorized users.
001433811 520__ $$aThis book highlights the estimate of epidemic characteristics for different countries/regions in the world with the use of known SIR (susceptible-infected-removed) model for the dynamics of the epidemic, the known exact solution of the linear differential equations and statistical approach developed before. The COVID-19 pandemic is of great interest to researchers due to its high mortality and a negative impact to the world economy. Correct simulation of the pandemic dynamics needs complicated mathematical models and many efforts for unknown parameters identification. The simple method of detection of the new pandemic wave is proposed and SIR model generalized. The hidden periods, epidemic durations, final numbers of cases, the effective reproduction numbers and probabilities of meeting an infected person are presented for countries like USA, Germany, UK, the Republic of Korea, Italy, Spain, France, the Republic of Moldova, Ukraine, and for the world. The presented information is useful to regulate the quarantine activities and to predict the medical and economic consequences of different/future pandemics.
001433811 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 16, 2021).
001433811 647_7 $$aCOVID-19 Pandemic$$d(2020- )$$2fast$$0(OCoLC)fst02024716
001433811 650_0 $$aCOVID-19 Pandemic, 2020-$$xMathematical models.
001433811 650_0 $$aCOVID-19 Pandemic, 2020-$$xForecasting.
001433811 650_6 $$aPandémie de COVID-19, 2020-$$xModèles mathématiques.
001433811 650_6 $$aPandémie de COVID-19, 2020-$$xPrévision.
001433811 655_0 $$aElectronic books.
001433811 77608 $$iPrint version:$$z9813364157$$z9789813364158$$w(OCoLC)1225621501
001433811 852__ $$bebk
001433811 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-6416-5$$zOnline Access$$91397441.1
001433811 909CO $$ooai:library.usi.edu:1433811$$pGLOBAL_SET
001433811 980__ $$aBIB
001433811 980__ $$aEBOOK
001433811 982__ $$aEbook
001433811 983__ $$aOnline
001433811 994__ $$a92$$bISE