<p>We compare data (in black) with simulation (in red) for a) the trajectory for full year of data and first five years of the simulation, b) mean prevalence as a function of household size, c) mean prevalence as a function of age group, d) the index of dispersion <i>θ</i> for each household, with smaller values indicating a greater deviation from the binomial distribution (arrows connecting data to simulation added for clarity). The model includes age-dependent susceptibility, specific infection classes for age both within and between households and intrahousehold reinfection. Households match those at the beginning of the BIG-LoVE study. Coefficients of the logistic regression model are Intercept = -0.632, Week = -0.00943, Age group = -0....
<p>Thick blue line, model prediction; light blue bars, data. Error bars give 95% binomial confidence...
<p>(a) The lines show the proportion of the population at each age (for model (i) (top) and model (i...
Early mathematical representations of infectious disease dynamics assumed a single, large, homogeneo...
International audienceNumerous epidemic models have been developed to capture aspects of human conta...
<p>Simulation 1 comprises persons. The resulting age-specific prevalence (black crosses) is compare...
Model selection is based on the information criteria LOO_IC and WBIC. Shown are results for models t...
<p>If we mimic a cross-sectional study at year we obtain the age-specific prevalence as indicated b...
Plots (a), (c) and (e) show the effect of varying transmission probability β, recovery rate γ, and p...
<p>Model comparison with observed field data (red dots) for <i>S</i>. <i>haematobium</i> infection p...
Most household models of disease transmission assume static household distributions. Although this i...
<p>Panel A: simulated epidemic curves (gray lines) using the observed household networks with three ...
Simulations from January 1, 2020 until December 31, 2021 performed with the model that has been cali...
A: The time series data of all ages. The lines show the model fits with their 95% prediction interva...
Early mathematical representations of infectious disease dynamics assumed a single, large, homogeneo...
The spread of infectious diseases is intimately linked with the strength and type of contact between...
<p>Thick blue line, model prediction; light blue bars, data. Error bars give 95% binomial confidence...
<p>(a) The lines show the proportion of the population at each age (for model (i) (top) and model (i...
Early mathematical representations of infectious disease dynamics assumed a single, large, homogeneo...
International audienceNumerous epidemic models have been developed to capture aspects of human conta...
<p>Simulation 1 comprises persons. The resulting age-specific prevalence (black crosses) is compare...
Model selection is based on the information criteria LOO_IC and WBIC. Shown are results for models t...
<p>If we mimic a cross-sectional study at year we obtain the age-specific prevalence as indicated b...
Plots (a), (c) and (e) show the effect of varying transmission probability β, recovery rate γ, and p...
<p>Model comparison with observed field data (red dots) for <i>S</i>. <i>haematobium</i> infection p...
Most household models of disease transmission assume static household distributions. Although this i...
<p>Panel A: simulated epidemic curves (gray lines) using the observed household networks with three ...
Simulations from January 1, 2020 until December 31, 2021 performed with the model that has been cali...
A: The time series data of all ages. The lines show the model fits with their 95% prediction interva...
Early mathematical representations of infectious disease dynamics assumed a single, large, homogeneo...
The spread of infectious diseases is intimately linked with the strength and type of contact between...
<p>Thick blue line, model prediction; light blue bars, data. Error bars give 95% binomial confidence...
<p>(a) The lines show the proportion of the population at each age (for model (i) (top) and model (i...
Early mathematical representations of infectious disease dynamics assumed a single, large, homogeneo...