Mathematical tools for understanding infectious disease dynamics

Author(s)

• Diekmann, O.
• Heesterbeek, Hans
• Britton, Tom

Bibliographic Information

Mathematical tools for understanding infectious disease dynamics

Odo Diekmann, Hans Heesterbeek, and Tom Britton

（Princeton series in theoretical and computational biology）

Princeton University Press, c2013

Note

Includes bibliographical references (p. [491]-496) and index

• NCID: BB11720363
• ISBN:
  • 9780691155395
• LCCN: 2012012058
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Princeton
• Pages/Volumes: xiv, 502 p.
• Size: 26 cm
• Classification:
  • LCC : RA652.2.M3
  • DC23 : 614.4
• Subject Headings:
  • LCSH : Epidemiology -- Mathematical models -- Congresses
  • LCSH : Epidemiology -- Mathematical models
  • LCSH : Communicable diseases -- Mathematical models
  • FREE : SCIENCE / Life Sciences / Biology / General. bisacsh
  • FREE : MATHEMATICS / Applied. bisacsh
  • FREE : MEDICAL / Infectious Diseases. bisacsh
• Parent Bibliography ID:
  • BA62881624