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001 88962717
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020 _a9780323905046
035 _aFRCYB88962717
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_c
_erda
100 1 _aAgarwal Phd, Praveen
245 0 1 _aMathematical Analysis of Infectious Diseases
_c['Agarwal Phd, Praveen', 'Nieto, Juan J.', 'Torres, Delfim F.M.']
264 1 _bAcademic Press
_c2022
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aAgarwal Phd, Praveen
700 0 _aNieto, Juan J.
700 0 _aTorres, Delfim F.M.
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88962717
_qtext/html
_a
520 _aMathematical 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. - Offers analytical and numerical techniques for virus models - Discusses mathematical modeling and its applications in treating infectious diseases or analyzing their spreading rates - Covers the application of differential equations for analyzing disease problems - Examines probability distribution and bio-mathematical applications
999 _c1322073
_d1322073