Abstract
A new, more general, stochastic model of epidemics is described. This model, one in a continuing series by Elveback and co-workers, includes provision for more complex, pseudo-sociologically stratified populations. Other major new features include the use of several types of conditional probabilities and of time-varying patterns of infectiousness to enable a more detailed simulation of individual and time-related differences in reactions to the infectious agent. A specific computer implementation of one and two-agent versions of this model is illustrated. Plans for additional computer-based simulation studies are discussed, for this and related models.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 45-58 |
| Number of pages | 14 |
| Journal | Computers in Biology and Medicine |
| Volume | 2 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 1972 |
Bibliographical note
Funding Information:*This report supported in part by: (I) Grant GM-16164 from the National Institute of General Medical Sciences, N.I.H. (2) Grant RR-267 from the Division of Research Resources, N.I.H. (3) Grant HS-53 from the National Center for Health Services Research and Development, H.S.M.H.A. This model formed the basis for a thesis submitted by Wayne Ewy to the Graduate School of the University of Minnesota in partial fulfillment of the degree of Doctor of Philosophy. tPresent address: Stanford University, Stanford, California. 45