James Hughes; Sheridan Houghten; Michael Dubé; Daniel Ashlock; Joseph Alexander Brown; Wendy Ashlock; Matthew Stoodley Springer International Publishing AG (2024) Kovakantinen kirja
Westina Matthews; Jennifer Baskerville-Burrows; Carlye J. Hughes; Kimberly Lucas; Phoebe A. Roaf; Shannon MacVean-Brown Church Publishing (2021) Pehmeäkantinen kirja
Anthony Burton; Roger Norrington; Hugh Macdonald; Christopher Brown; Roy Howat; David Goode; Robin Stowell; Trev Herbert Associated Board of the Royal Schools of Music Nuotit
E S (Eustace Straughn) B Glascock; Hugh Brown - Wilcox; Patent Office Society (U S ) Journal Su Franklin Classics Trade Press (2018) Pehmeäkantinen kirja
E S (Eustace Straughn) B Glascock; Hugh Brown - Wilcox; Patent Office Society (U S ) Journal Su Franklin Classics Trade Press (2018) Kovakantinen kirja
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.