Abstract
The effect of population density on the epidemic outbreak of measles or measles-like infectious diseases was evaluated. Using average-number contacts with susceptible individuals per infectious individual as a measure of population density, an analytical model for the distribution of the nonstationary stochastic process of susceptible contact is presented. A 5-dimensional lattice simulation model of disease spread was used to evaluate the effects of four different population densities. A zero-inflated Poisson probability model was used to quantify the nonstationarity of the contact rate in the stochastic epidemic process. Analysis of the simulation results identified a decrease in a susceptible contact rate from four to three, resulted in a dramatic effect on the distribution of contacts over time, the magnitude of the outbreak, and, ultimately, the spread of disease.
Original language | English (US) |
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Pages (from-to) | 29-36 |
Number of pages | 8 |
Journal | Complexity |
Volume | 6 |
Issue number | 6 |
DOIs | |
State | Published - Jan 1 2001 |
Keywords
- Epidemic
- Measles
- Outbreak
- Simulation
- Stochastic model
ASJC Scopus subject areas
- Computer Science(all)
- General