<p>Lines represent means and shaded areas 95% confidence intervals. Spatial heterogeneity in transmission intensity increases with the coefficient of variation (CV). (c) Box-plots shows the distribution of patch-specific transmission intensities <i>R</i><sub>0,<i>i</i></sub> in 100 simulations for each level of spatial heterogeneity. Note how variance increases with CV, while the average remains similar among configurations.</p
Heterogeneity in the number of potentially infectious contacts amongst members of a population incre...
Infectious disease incidence data are increasingly available at the level of the individual and incl...
<p>The mean predicted numbers of appropriate treatments if a protocol based on the Vientiane epidemi...
<p>Nodes represent patches characterized by their randomly generated <i>R</i><sub>0,<i>i</i></sub>, ...
<p>The figure shows four landscape configurations with spatial heterogeneity in transmission intensi...
The endemic persistence of infectious diseases can often not be understood without taking into accou...
AbstractInfectious disease incidence data are increasingly available at the level of the individual ...
<p>(<b><i>A</i></b>) Increasing the probability of long-distance transmission, , as a proxy for incr...
Outbreaks of infectious diseases can devastate a population. Researchers thus study the spread of an...
Standard epidemiological models for COVID-19 employ variants of compartment (SIR or susceptible-infe...
The quantitative analysis of pathogen transmission within its specific spatial context should improv...
Infectious disease transmission is an inherently spatial process in which a host’s home location and...
<p>The four maps show the disease severity (grey scale) on grids of 50×50 plants at the end of simul...
Infectious disease transmission is an inherently spatial process in which a host's home location and...
ABSTRACT. In this paper we consider a stochastic spatial SIR (Susceptible-Infectious-Recovered) mode...
Heterogeneity in the number of potentially infectious contacts amongst members of a population incre...
Infectious disease incidence data are increasingly available at the level of the individual and incl...
<p>The mean predicted numbers of appropriate treatments if a protocol based on the Vientiane epidemi...
<p>Nodes represent patches characterized by their randomly generated <i>R</i><sub>0,<i>i</i></sub>, ...
<p>The figure shows four landscape configurations with spatial heterogeneity in transmission intensi...
The endemic persistence of infectious diseases can often not be understood without taking into accou...
AbstractInfectious disease incidence data are increasingly available at the level of the individual ...
<p>(<b><i>A</i></b>) Increasing the probability of long-distance transmission, , as a proxy for incr...
Outbreaks of infectious diseases can devastate a population. Researchers thus study the spread of an...
Standard epidemiological models for COVID-19 employ variants of compartment (SIR or susceptible-infe...
The quantitative analysis of pathogen transmission within its specific spatial context should improv...
Infectious disease transmission is an inherently spatial process in which a host’s home location and...
<p>The four maps show the disease severity (grey scale) on grids of 50×50 plants at the end of simul...
Infectious disease transmission is an inherently spatial process in which a host's home location and...
ABSTRACT. In this paper we consider a stochastic spatial SIR (Susceptible-Infectious-Recovered) mode...
Heterogeneity in the number of potentially infectious contacts amongst members of a population incre...
Infectious disease incidence data are increasingly available at the level of the individual and incl...
<p>The mean predicted numbers of appropriate treatments if a protocol based on the Vientiane epidemi...