Computational Epidemiology

Computational Epidemiology

Data-Driven Modeling of COVID-19

Kuhl, Ellen

Springer Nature Switzerland AG

09/2021

312

Dura

Inglês

9783030828899

15 a 20 dias

658

Descrição não disponível.
table of contents.- introduction.- infectious diseases.- a brief history of infectious diseases.- II. mathematical epidemiology.- introduction to compartment modeling.- compartment modeling of epidemiology.- concepts of endemic disease modeling.- data-driven modeling in epidemiology. - compartment modeling of COVID19.- early outbreak dynamics of COVID-19.- asymptomatic transmission of COVID-19.- inferring outbreak dynamics of COVID-19.- modeling outbreak control.- managing infectious diseases.- change-point modeling of COVID-19.- dynamic compartment modeling of COVID-19.- network modeling of epidemiology.- network modeling of epidemic processes.- network modeling of COVID-19.- dynamic network modeling of COVID-19.- informing political decision making through modeling.- exit strategies from lockdown.- vaccination strategies.- the second wave.- lessons learned.
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