COVID-19 epidemiology and virus dynamics : nonlinear physics and mathematical modeling

Author(s)

• Frank, Till Daniel

Bibliographic Information

COVID-19 epidemiology and virus dynamics : nonlinear physics and mathematical modeling

Till D. Frank

（Understanding complex systems / founding editor, J.A. Scott Kelso）（Springer complexity）

Springer, c2022

• : hbk

Note

Includes bibliographical references and index

Details

• NCID: BC17456764
• ISBN:
  • 9783030971779
• Country Code: sz
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Cham
• Pages/Volumes: xiv, 355 p.
• Size: 25 cm
• Classification:
  • DC23 : 614.4015118
• Subject Headings:
  • LCSH : Epidemiology -- Mathematical models
  • LCSH : COVID-19 Pandemic, 2020- -- Mathematical models
  • LCSH : Nonlinear theories
• Parent Bibliography ID:
  • BA68419035
  • BA69338085