Reply to “Comment on ‘Linking population-level models with growing networks: A class of epidemic models’ ”
- 25 July 2006
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review E
- Vol. 74 (1) , 018102
- https://doi.org/10.1103/physreve.74.018102
Abstract
We disagree with Bootsma and Diekmann that our formula for the basic reproduction ratio has an underlying conceptual mistake. In Phys. Rev. E 72, 046110 (2005), we propose a large class of growing networks (which we call Kinetic Monte Carlo (KMC) growing networks) as individual-level models for the transmission of infectious diseases. KMC growing networks are conceptually different from the well-established Crump-Mode-Jagers continuous-time branching processes. Thus, the branching process definition of is not valid for KMC growing networks, and a different implementation of the biological definition of is necessary.
Keywords
This publication has 3 references indexed in Scilit:
- Comment on “Linking population-level models with growing networks: A class of epidemic models”Physical Review E, 2006
- Linking population-level models with growing networks: A class of epidemic modelsPhysical Review E, 2005
- Epidemiologic Determinants for Modeling Pneumonic Plague OutbreaksEmerging Infectious Diseases, 2004