699:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 7-12 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

97 sidor
2024

This book presents algorithms and tools that are designed to model and extract information from personal contact networks, which represent which individuals in a population are physically in contact with one another. The authors developed these tools based on research they conducted during the COVID-19 pandemic, with the goal of improving responses to epidemics in the future. The book provides methods for modelling the transmission of infection across a population. The authors explain how an epidemic model can be used to strategically distribute vaccines and minimize the spread of a virus. The book shows how evolutionary computation, graph compression, and network induction can be utilized to manage issues that arise from an epidemic.

Författare: James Hughes, Sheridan Houghten, Michael Dub, Daniel Ashlock, Joseph Alexander Brown
Format: Inbunden
ISBN: 9783031643729
Språk: Engelska
Antal sidor: 97
Utgivningsdatum: 2024-09-25
Förlag: Springer International Publishing AG