@article{1445636,
      recid = {1445636},
      author = {Frank, Till Daniel.},
      title = {COVID-19 epidemiology and virus dynamics: nonlinear  physics and mathematical modeling /},
      publisher = {Springer,},
      address = {Cham, Switzerland :},
      pages = {1 online resource},
      year = {2022},
      abstract = {This book addresses the COVID-19 pandemic from a  quantitative perspective based on mathematical models and  methods largely used in nonlinear physics. It aims to study  COVID-19 epidemics in countries and SARS-CoV-2 infections  in individuals from the nonlinear physics perspective and  to model explicitly COVID-19 data observed in countries and  virus load data observed in COVID-19 patients. The first  part of this book provides a short technical introduction  into amplitude spaces given by eigenvalues, eigenvectors,  and amplitudes.In the second part of the book, mathematical  models of epidemiology are introduced such as the SIR and  SEIR models and applied to describe COVID-19 epidemics in  various countries around the world. In the third part of  the book, virus dynamics models are considered and applied  to infections in COVID-19 patients. This book is written  for researchers, modellers, and graduate students in  physics and medicine, epidemiology and virology, biology,  applied mathematics, and computer sciences. This book  identifies the relevant mechanisms behind past COVID-19  outbreaks and in doing so can help efforts to stop future  COVID-19 outbreaks and other epidemic outbreaks. Likewise,  this book points out the physics underlying SARS-CoV-2  infections in patients and in doing so supports a physics  perspective to address human immune reactions to SARS-CoV-2  infections and similar virus infections.},
      url = {http://library.usi.edu/record/1445636},
      doi = {https://doi.org/10.1007/978-3-030-97178-6},
}