<p>(a)-(i), simulations of the cumulative numbers of infected livestock at year 4, 29, and 62 (by row) in patches 1, 2, and 3 (by column). Same values of parameters used in <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0003388#pntd-0003388-g003" target="_blank">Fig. 3</a>.</p
Understanding the population dynamics of an infectious disease requires linking within-host dynamics...
<p>(a), (b) and (c) represent the populations of infectious livestock (solid line), the instantaneou...
<p>(a)-(c) and (d)-(f), simulations of the populations of exposed livestock and vectors in patches 1...
<p>(a)-(c) show the populations of infectious livestock and (d)-(f) simulate the populations of infe...
<p>(a)-(c) and (d)-(f) show the populations of infectious livestock and vectors in patches 1–3, resp...
<p>Numerical values and definitions are in the Supporting Information. We define that if there is at...
<p>The values shown are the predicted endemic prevalence when all replacement breeding cattle moveme...
<p>A), An illustration of MAP transmission in a farm when incubation, , for the silent stage is vari...
<p>(a), (b) and (c) represent the populations of infectious livestock (solid line) and vectors (dash...
Livestock disease controls are often linked to movements between farms, for example, via quarantine ...
Susceptible host density is a key factor that influences the success of invading pathogens. However,...
Livestock disease controls are often linked to movements between farms, for example, via quarantine ...
<p>Brucellosis among herds of cattle is simulated in a non-intensive agricultural system, in the nom...
<p>(a)-(c) and (d)-(f), simulations of the populations of infectious livestock and vectors in patche...
Livestock disease controls are often linked to movements between farms, for example, via quarantine ...
Understanding the population dynamics of an infectious disease requires linking within-host dynamics...
<p>(a), (b) and (c) represent the populations of infectious livestock (solid line), the instantaneou...
<p>(a)-(c) and (d)-(f), simulations of the populations of exposed livestock and vectors in patches 1...
<p>(a)-(c) show the populations of infectious livestock and (d)-(f) simulate the populations of infe...
<p>(a)-(c) and (d)-(f) show the populations of infectious livestock and vectors in patches 1–3, resp...
<p>Numerical values and definitions are in the Supporting Information. We define that if there is at...
<p>The values shown are the predicted endemic prevalence when all replacement breeding cattle moveme...
<p>A), An illustration of MAP transmission in a farm when incubation, , for the silent stage is vari...
<p>(a), (b) and (c) represent the populations of infectious livestock (solid line) and vectors (dash...
Livestock disease controls are often linked to movements between farms, for example, via quarantine ...
Susceptible host density is a key factor that influences the success of invading pathogens. However,...
Livestock disease controls are often linked to movements between farms, for example, via quarantine ...
<p>Brucellosis among herds of cattle is simulated in a non-intensive agricultural system, in the nom...
<p>(a)-(c) and (d)-(f), simulations of the populations of infectious livestock and vectors in patche...
Livestock disease controls are often linked to movements between farms, for example, via quarantine ...
Understanding the population dynamics of an infectious disease requires linking within-host dynamics...
<p>(a), (b) and (c) represent the populations of infectious livestock (solid line), the instantaneou...
<p>(a)-(c) and (d)-(f), simulations of the populations of exposed livestock and vectors in patches 1...