|
|
|
|
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
on1343909608 |
| 003 |
OCoLC |
| 005 |
20240909213021.0 |
| 006 |
m o d |
| 007 |
cr cnu---unuuu |
| 008 |
220907s2022 si a ob 000 0 eng d |
| 040 |
|
|
|a GW5XE
|b eng
|e rda
|e pn
|c GW5XE
|d YDX
|d EBLCP
|d OCLCQ
|d INT
|d OCLCO
|d S9M
|d OCLCA
|
| 019 |
|
|
|a 1343867164
|a 1374610363
|
| 020 |
|
|
|a 9789811941757
|q (electronic bk.)
|
| 020 |
|
|
|a 9811941750
|q (electronic bk.)
|
| 020 |
|
|
|z 9811941742
|
| 020 |
|
|
|z 9789811941740
|
| 020 |
|
|
|a 9788981194178
|q (7)
|
| 020 |
|
|
|a 8981194173
|
| 024 |
7 |
|
|a 10.1007/978-981-19-4175-7
|2 doi
|
| 035 |
|
|
|a (OCoLC)1343909608
|z (OCoLC)1343867164
|z (OCoLC)1374610363
|
| 050 |
|
4 |
|a RA644.C67
|
| 072 |
|
7 |
|a UYQ
|2 bicssc
|
| 072 |
|
7 |
|a TEC009000
|2 bisacsh
|
| 072 |
|
7 |
|a UYQ
|2 thema
|
| 049 |
|
|
|a HCDD
|
| 100 |
1 |
|
|a Saxena, Rahul,
|e author.
|
| 245 |
1 |
0 |
|a Exploring Susceptible-Infectious-Recovered (SIR) model for COVID-19 investigation /
|c Rahul Saxena, Mahipal Jadeja, Vikrant Bhateja.
|
| 264 |
|
1 |
|a Singapore :
|b Springer,
|c [2022]
|
| 264 |
|
4 |
|c ©2022
|
| 300 |
|
|
|a 1 online resource (xiii, 53 pages)) :
|b illustrations (chiefly color).
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|2 rdaft
|0 http://rdaregistry.info/termList/fileType/1002
|
| 490 |
1 |
|
|a SpringerBriefs in applied sciences and technology. Computational intelligence
|
| 504 |
|
|
|a Includes bibliographical references.
|
| 520 |
|
|
|a The book focuses on mathematical modelling of COVID-19 pandemic using the Susceptible, Infectious, and Recovered (SIR) model. The predictive modelling of the disease, with the exact facts and figures, provides a ground to reason about growing trends and its future trajectory. The book emphasizes on how the pandemic actually spreads out, lockdown impact analysis, and future course of actions based on mathematical calculations. Moreover, since COVID-19 spread outburst has been twice, the intensity studies and comparative analysis of the two waves of COVID-19 are another interesting feature of the book content. The book is a knowledge base for various researchers and academicians to dive into the detailing of the COVID spread (mathematical) model and understand how it could be explored to draw outcomes. To represent the factual information and analytical results effectively, graphical and diagrammatic representations have been appended at appropriate places. To keep the explanation simple and yet concrete, mathematical concepts have also been introduced; to carry out analysis to generate results for understanding the viral dynamics.
|
| 505 |
0 |
|
|a Chapter 1. Introduction -- Chapter 2. Epidemic studies and mathematical set up of SIR model -- Chapter 3. Understanding and analysing the spread pattern of Covid-19 -- Chapter 4. SIR model based experimental investigations over Covid-19 -- Chapter 5. Result analysis of SIR based Covid-19 Model -- Chapter 6. Exploring Covid-19 second wave dynamics using SIR epidemic model -- Chapter 7. Conclusions and future scope.
|
| 588 |
0 |
|
|a Print version record.
|
| 650 |
|
0 |
|a COVID-19 (Disease)
|x Epidemiology
|x Mathematical models.
|
| 650 |
|
7 |
|a Covid-19
|x Modelos matemáticos
|2 embne
|
| 650 |
|
7 |
|a Covid-19
|x Epidemiología
|2 embne
|
| 650 |
|
7 |
|a Computational intelligence
|2 fast
|
| 650 |
|
7 |
|a Computer simulation
|2 fast
|
| 650 |
|
7 |
|a Medical informatics
|2 fast
|
| 650 |
|
7 |
|a Data mining
|2 fast
|
| 700 |
1 |
|
|a Jadeja, Mahipal,
|e author.
|
| 700 |
1 |
|
|a Bhateja, Vikrant,
|e author.
|
| 776 |
0 |
8 |
|i Print version:
|a SAXENA, RAHUL.
|t EXPLORING SUSCEPTIBLE-INFECTIOUS-RECOVERED SIR MODEL FOR COVID-19 INVESTIGATION.
|d [Place of publication not identified] : SPRINGER, 2022
|z 9811941742
|w (OCoLC)1322367920
|
| 830 |
|
0 |
|a SpringerBriefs in applied sciences and technology.
|p Computational intelligence.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-19-4175-7
|y Click for online access
|
| 903 |
|
|
|a SPRING-MATH2022
|
| 994 |
|
|
|a 92
|b HCD
|