Using simulations, we sampled parameters considering both the uncertainty in the estimation and the inter-individual variability (see methods). Only the mean viral load was shown for clarity. (PDF)</p
Mathematical modelling approaches have granted a significant contribution to life sciences and beyon...
Steady–state levels of HIV–1 viraemia in the plasma vary more than a 1000–fold between HIV–positive ...
The spread of infectious diseases is a complex system in which pathogens, humans, the environment, a...
Using simulations, we sampled parameters considering both the uncertainty in the estimation and the ...
International audienceThe paucity of experimental data makes both inference and prediction particula...
Temporal profiles of viral load have individual variability and are used to determine whether indivi...
<p>For this figure we simulated influenza virus infection in 1000 patients that all had the same nat...
Using an individual-based model, we simulate the behavior of two types of viruses, considering vario...
<div><p>For <i>in vivo</i> studies of influenza dynamics where within-host measurements are fit with...
Predicted RVFV infection dynamics in mammalian cells for three different scenarios: selective genome...
Virus infection often results in diverse outcomes. This variability of virus pathogenesis is not wel...
<p>Each distinct curve represents simulations from a unique randomly obtained, physiological paramet...
<p>(A) Total quantity of HSV-2 within the simulation region at all time points throughout year long ...
Kinetics for 6 of the seven model compartments for the best fit model are plotted. Since infected ce...
For each macaque, the impacts of T cell depletion and target cell addition on viral load were calcul...
Mathematical modelling approaches have granted a significant contribution to life sciences and beyon...
Steady–state levels of HIV–1 viraemia in the plasma vary more than a 1000–fold between HIV–positive ...
The spread of infectious diseases is a complex system in which pathogens, humans, the environment, a...
Using simulations, we sampled parameters considering both the uncertainty in the estimation and the ...
International audienceThe paucity of experimental data makes both inference and prediction particula...
Temporal profiles of viral load have individual variability and are used to determine whether indivi...
<p>For this figure we simulated influenza virus infection in 1000 patients that all had the same nat...
Using an individual-based model, we simulate the behavior of two types of viruses, considering vario...
<div><p>For <i>in vivo</i> studies of influenza dynamics where within-host measurements are fit with...
Predicted RVFV infection dynamics in mammalian cells for three different scenarios: selective genome...
Virus infection often results in diverse outcomes. This variability of virus pathogenesis is not wel...
<p>Each distinct curve represents simulations from a unique randomly obtained, physiological paramet...
<p>(A) Total quantity of HSV-2 within the simulation region at all time points throughout year long ...
Kinetics for 6 of the seven model compartments for the best fit model are plotted. Since infected ce...
For each macaque, the impacts of T cell depletion and target cell addition on viral load were calcul...
Mathematical modelling approaches have granted a significant contribution to life sciences and beyon...
Steady–state levels of HIV–1 viraemia in the plasma vary more than a 1000–fold between HIV–positive ...
The spread of infectious diseases is a complex system in which pathogens, humans, the environment, a...