Abstract
Pneumococcal diseases, or infections from the etiological agent Streptococcus pneumonias, have long been a major cause of morbidity and mortality worldwide. Recent advances in the development of vaccines for these infections have raised questions concerning their widespread and/or long-term use. In this work, we use surveillance data collected by the Australian National Notifiable Diseases Surveillance system to estimate parameters in a mathematical model of pneumococcal infection dynamics in a population with partial vaccination. The parameters obtained are of particular interest as they are not typically available in reported literature or measurable. The calibrated model is then used to assess the impact of the recent federally funded program that provides pneumococcal vaccines to large risk groups. The results presented here suggest the state of these infections may be changing in response to the programs, and warrants close quantitative monitoring.
Original language | English (US) |
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Pages (from-to) | 175-204 |
Number of pages | 30 |
Journal | Mathematical Biosciences and Engineering |
Volume | 5 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2008 |
Keywords
- Inverse problems
- Pneumococcal infection dynamics
- Population model
- Statistical methods
ASJC Scopus subject areas
- Modeling and Simulation
- General Agricultural and Biological Sciences
- Computational Mathematics
- Applied Mathematics