Looking through Amazon.com I found that by the end of this summer a new book on mathematical epidemiology is going to be published: Mathematical Tools for Understanding Infectious Disease Dynamics by Odo Diekmann, Hans Heesterbeek & Tom Britton. Considering the fact that the book by two first authors is probably one of the best books in the market on the subject, and that Tom Britton is a leading expert in stochastic models in epidemiology, I am already exited to read this new book.
Welcome!
CV and more
- Abstract nonsence
- Applied mathematics
- biology
- Biology Direct
- Career
- chaos
- Complexity
- Complex Networks
- conferences
- Coursera
- CRISP-Cas system
- Delta-function
- Differential equations
- diversity
- dynamical systems
- Epidemics on networks
- Error threshold
- Evolution
- Evolutionary game theory
- evolution of altruism
- Facts
- genetic code
- h-index
- heterogeneous models
- Heterogeneous populations
- HGT
- High energy physics
- History
- Human evolution
- Humor
- ID
- interview
- jobs
- journals
- kin selection
- Lamarckian evolution
- Lecture Notes
- lytdybr
- Math 266: Intro to ODE
- Math 483: PDE
- Math 484: Math in Biology
- Math 760: ODE I
- Math 767: Mathematics of Networks
- Math and Bio
- Math Club
- Mathematica
- mathematical epidemiology
- MFET2010
- money
- Natural selection
- NDSU
- open access
- PDE
- Peer review
- Perelman
- permanence
- Population genetics
- Postdoc position
- Presentations
- Protein folding
- publishing
- publish or perish
- quasispecies
- random graphs
- Reading books
- Replicator equation
- Social choice
- spatial solutions
- Statistical physics
- Statistics does not lie
- teaching
- textbook
- tree of life
- University
- video courses