Abstract
In this paper, we investigate the dynamical outcomes of a host–parasite model incorporating both horizontal and vertical transmissions in a spatial heterogeneous environment analytically and numerically. Our study provides valuable insights in two aspects: Mathematically, we propose three threshold parameters, the demographic reproduction number Rd, the horizontal transmission reproduction number R0h and the vertical transmission reproduction number R0v, to identify the conditions that lead to disease-free dynamics, or susceptible-free dynamics, or endemic dynamics. Epidemiologically, we find that both host population movements and spatial heterogeneity strongly affect the disease dynamics of our proposed epidemic model: (1) the larger random mobility can result in 100% infection prevalence; and (2) the heterogeneity tends to enhance the persistence of the infected hosts with uninfected ones. As a consequence, our work suggests that, in order to control the invasion of the parasite, different preventive measures can be implemented in different regions.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 444-465 |
| Number of pages | 22 |
| Journal | Nonlinear Analysis: Real World Applications |
| Volume | 40 |
| DOIs | |
| State | Published - Apr 2018 |
Keywords
- Endemic
- Heterogeneity
- Parasite-free
- Susceptible-free
- Vertical transmission
ASJC Scopus subject areas
- Analysis
- General Medicine
- General Engineering
- General Economics, Econometrics and Finance
- Computational Mathematics
- Applied Mathematics
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