than be included in a printed volume. Third, the volume does not have any indexes. Fourth, the typographic design is atrocious.
After reading through the volume, my main question was to whom it is intended. There are several possible audiences: experts in the field; graduate students looking for a state-of-the-art review of the field; a general biostatistical and/or epidemiological audience. However, this volume does not speak to either group. Rather, it contains a mix of material at a variety of levels. There are some quite good (and some terrible) review papers; but in all they do not seem to cover either enough probability models to acquaint the applied mathematicians with that aspect of things, or enough deterministic models to give the statisticians a feel for the flexibility of such models. All in all, I got most out of the invited discussions.
The volume is divided into five parts. The first, ¹ransmissible diseases with long development times and vaccination strategies, has invited papers by Gore on data analysis for diseases with long development times, Peto on HPV and cervical cancers, and Eichner et al. on an age-structured model for measles vaccination, with discussion by Farewell and Koopman. Part 2, Dynamics of immunity, has papers by Nowak on evolutionary dynamics of HIV infection, Taylor et al. on statistical models for analysis of longitudinal CD4 data, Fulford et al. on some mathematical and statistical issues in asessing the evidence for acquired immunity to schistosomiasis, and Gupta and Day on virulence and transmissibility in P. falciparum malaria. The discussion is by McLean, Dobson and Medley. Invited papers to part 3, Population heterogeneity, were given by Hethcote on modelling heterogeneous mixing in infectious disease dynamics, Morris