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Mathematics of public health = proce...
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Seminar on the Mathematical Modelling of COVID-19 ((2020 :)
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Mathematics of public health = proceedings of the Seminar on the Mathematical Modelling of COVID-19 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Mathematics of public health/ edited by V. Kumar Murty, Jianhong Wu.
Reminder of title:
proceedings of the Seminar on the Mathematical Modelling of COVID-19 /
other author:
Murty, V. Kumar.
corporate name:
Seminar on the Mathematical Modelling of COVID-19
Published:
Cham :Springer International Publishing : : 2022.,
Description:
x, 353 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
COVID-19 (Disease) - Congresses. - Mathematical models -
Online resource:
https://doi.org/10.1007/978-3-030-85053-1
ISBN:
9783030850531
Mathematics of public health = proceedings of the Seminar on the Mathematical Modelling of COVID-19 /
Mathematics of public health
proceedings of the Seminar on the Mathematical Modelling of COVID-19 /[electronic resource] :edited by V. Kumar Murty, Jianhong Wu. - Cham :Springer International Publishing :2022. - x, 353 p. :ill., digital ;24 cm. - Fields institute communications,v. 852194-1564 ;. - Fields institute communications ;v. 85..
Curated by the Fields Institute for Research in Mathematical Sciences from their COVID-19 Math Modelling Seminars, this first in a series of volumes on the mathematics of public health allows readers to access the dominant ideas and techniques being used in this area, while indicating problems for further research. This work brings together experts in mathematical modelling from across Canada and the world, presenting the latest modelling methods as they relate to the COVID-19 pandemic. A primary aim of this book is to make the content accessible so that researchers share the core methods that may be applied elsewhere. The mathematical theories and technologies in this book can be used to support decision makers on critical issues such as projecting outbreak trajectories, evaluating public health interventions for infection prevention and control, developing optimal strategies to return to a new normal, and designing vaccine candidates and informing mass immunization program. Topical coverage includes: basic susceptible-exposed-infectious-recovered (SEIR) modelling framework modified and applied to COVID-19 disease transmission dynamics; nearcasting and forecasting for needs of critical medical resources including personal protective equipment (PPE); predicting COVID-19 mortality; evaluating effectiveness of convalescent plasma treatment and the logistic implementation challenges; estimating impact of delays in contact tracing; quantifying heterogeneity in contact mixing and its evaluation with social distancing; modelling point of care diagnostics of COVID-19; and understanding non-reporting and underestimation. Further, readers will have the opportunity to learn about current modelling methodologies and technologies for emerging infectious disease outbreaks, pandemic mitigation rapid response, and the mathematics behind them. The volume will help the general audience and experts to better understand the important role that mathematics has been playing during this on-going crisis in supporting critical decision-making by governments and public health agencies.
ISBN: 9783030850531
Standard No.: 10.1007/978-3-030-85053-1doiSubjects--Topical Terms:
3596382
COVID-19 (Disease)
--Mathematical models--Congresses.
LC Class. No.: RA644.C67 / S45 2022
Dewey Class. No.: 616.24140015118
Mathematics of public health = proceedings of the Seminar on the Mathematical Modelling of COVID-19 /
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Curated by the Fields Institute for Research in Mathematical Sciences from their COVID-19 Math Modelling Seminars, this first in a series of volumes on the mathematics of public health allows readers to access the dominant ideas and techniques being used in this area, while indicating problems for further research. This work brings together experts in mathematical modelling from across Canada and the world, presenting the latest modelling methods as they relate to the COVID-19 pandemic. A primary aim of this book is to make the content accessible so that researchers share the core methods that may be applied elsewhere. The mathematical theories and technologies in this book can be used to support decision makers on critical issues such as projecting outbreak trajectories, evaluating public health interventions for infection prevention and control, developing optimal strategies to return to a new normal, and designing vaccine candidates and informing mass immunization program. Topical coverage includes: basic susceptible-exposed-infectious-recovered (SEIR) modelling framework modified and applied to COVID-19 disease transmission dynamics; nearcasting and forecasting for needs of critical medical resources including personal protective equipment (PPE); predicting COVID-19 mortality; evaluating effectiveness of convalescent plasma treatment and the logistic implementation challenges; estimating impact of delays in contact tracing; quantifying heterogeneity in contact mixing and its evaluation with social distancing; modelling point of care diagnostics of COVID-19; and understanding non-reporting and underestimation. Further, readers will have the opportunity to learn about current modelling methodologies and technologies for emerging infectious disease outbreaks, pandemic mitigation rapid response, and the mathematics behind them. The volume will help the general audience and experts to better understand the important role that mathematics has been playing during this on-going crisis in supporting critical decision-making by governments and public health agencies.
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Mathematics and Statistics (SpringerNature-11649)
based on 0 review(s)
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電子資源
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EB RA644.C67 S45 2022
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