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008 211101s2022 sz | s |||| 0|eng d
020 _a9783030728342
024 7 _a10.1007/978-3-030-72834-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aRA644 .C67
_b2022 EB
245 0 0 _aModeling, Control and Drug Development for COVID-19 Outbreak Prevention :
_cedited by Ahmad Taher Azar, Aboul Ella Hassanien
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (X, 1122 páginas)
_b453 ilustraciones, 416 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aStudies in Systems Decision and Control
_x2198-4190
_v366
505 0 _aSome computational and theoretical results of Novel Coronavirus-19 Disease Via Mathematical Model Involving Caputo-Fabrizo Fractional Order -- Application of mathematical modelling approach in covid-19 transmission and interventions strategies -- Understanding COVID-19 in Brazil: socioeconomic impacts, statistical analysis and future challenges -- Does Pandemics effects human Future? Decisive role of Covid 19 in human evolution.
520 _aThis book is well-structured book which consists of 31 full chapters. The book chapters' deal with the recent research problems in the areas of modeling, control and drug development, and it presents various techniques of COVID-19 outbreak prevention modeling. The book also concentrates on computational simulations that may help speed up the development of drugs to counter the novel coronavirus responsible for COVID-19.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9683668
_aCOVID-19
_xModelos matemáticos
776 0 8 _iPrinted edition:
_z9783030728335
776 0 8 _iPrinted edition:
_z9783030728359
776 0 8 _iPrinted edition:
_z9783030728366
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72834-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2023
_dz
_eu
_zSI