Dietz, K.; Schenzle, D. Mathematical models for infectious disease statistics. (English) Zbl 0586.92017 A celebration of statistics, The ISI Centen. Vol., 167-204 (1985). [For the entire collection see Zbl 0567.00012.] The present survey concentrates on virus infections in humans. It is shown that available data do not allow a discrimination between various plausible models for the spread of common cold in households. Similar problems of model identification arise in the analysis of age-specific sero-prevalence-data of antibodies with so-called catalytic models. From such data alone one cannot derive contact rates between different age groups, although knowledge of these rates is needed in order to evaluate the effects of mass immunization and to describe the fluctuating infection incidence patterns. A new deterministic model is presented which takes into account increased infection transmission inside schools. This provides an explanation for one- and two-year periods of recurrent measles epidemics. The paper provides an outlook to future developments in this field. Cited in 1 ReviewCited in 40 Documents MSC: 92D25 Population dynamics (general) Keywords:bibliography; survey; virus infections in humans; spread of common cold; model identification; age-specific sero-prevalence-data; catalytic models; mass immunization; fluctuating infection incidence patterns; new deterministic model; infection transmission; recurrent measles epidemics Citations:Zbl 0567.00012 PDFBibTeX XML