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Mathematics of public healthproceedings of the Seminar on the Mathematical Modelling of COVID-19 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematics of public healthedited by V. Kumar Murty, Jianhong Wu.
其他題名:	proceedings of the Seminar on the Mathematical Modelling of COVID-19 /
其他作者:	Murty, V. Kumar.
團體作者:
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	x, 353 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	COVID-19 (Disease)Mathematical models
電子資源:	https://doi.org/10.1007/978-3-030-85053-1
ISBN:	9783030850531$q(electronic bk.)

Mathematics of public healthproceedings of the Seminar on the Mathematical Modelling of COVID-19 /
Mathematics of public healthproceedings 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.63..

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$q(electronic bk.)

Standard No.: 10.1007/978-3-030-85053-1doiSubjects--Topical Terms:

907338
COVID-19 (Disease)
--Mathematical models

LC Class. No.: RA644.C67 / S45 2022

Dewey Class. No.: 616.24140015118

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