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The probabilistic SIR model (PSIR) in the pandemic processproject management in prevention and support /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The probabilistic SIR model (PSIR) in the pandemic processby Marcus Hellwig.
其他題名:	project management in prevention and support /
作者:	Hellwig, Marcus.
出版者:	Cham :Springer Nature Switzerland :2023.
面頁冊數:	xii, 77 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	COVID-19 (Disease)Epidemiology.
電子資源:	https://doi.org/10.1007/978-3-031-31190-1
ISBN:	9783031311901$q(electronic bk.)

The probabilistic SIR model (PSIR) in the pandemic processproject management in prevention and support /
Hellwig, Marcus.

The probabilistic SIR model (PSIR) in the pandemic processproject management in prevention and support /[electronic resource] :by Marcus Hellwig. - Cham :Springer Nature Switzerland :2023. - xii, 77 p. :ill., digital ;24 cm. - essentials,2731-3115. - essentials..

Occasion, derived from a letter to the editor -- Objectives -- SIR model as a basis for a probabilistic model -- Introduction: Consideration of an infection interval for a federal state -- The "infection curve" I(t) is replaced by the skewed, steep Eqb density function -- Random ranges of NV and Eqb -- Presentation of the equibalance distribution, Eqb -- Infection management in connection with the course of the incidence -- Infection, avoidance and healing process, feedback -- Representation of a process management -- Pre-phase planning supported by network planning technology -- Summary.

With all the insights experienced in the COVID process, one essential remains: "The virus remains a constant companion". In contrast to regularly occurring infection processes, a COVID infection takes a different course. This is characterized by a dynamic that deviates from conventional, well-known processes in that the originators change their identity and develop corresponding variants. Therefore, preventive infection management - supported by statistical-probabilistic analyzes with PSIR - is important for preventive management of resources and infrastructure for the "waves ahead of the wave". Content The "infection curve" I(t) is replaced by the skewed, steep Eqb - density function Representation of a process management Pre-phase planning supported by network planning technology Target Groups Virology, Departments of Health and Human Services Statistics Departments The Author Marcus Hellwig is a quality manager as qualified by the German Society for Quality DGQ and author of specialist books.

ISBN: 9783031311901$q(electronic bk.)

Standard No.: 10.1007/978-3-031-31190-1doiSubjects--Topical Terms:

888510
COVID-19 (Disease)
--Epidemiology.

LC Class. No.: RA644.C67

Dewey Class. No.: 614.5924144

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