Fig 1.
The framework of population synthesis.
The basemap shapefile can be accessed at https://www.kaggle.com/datasets/keminzhu/basemap-shenzhen-subzones.
Table 1.
Sample of household survey data.
Table 2.
An example of a household motif weight matrix.
Fig 2.
Distribution of household structure in survey data.
(a) Probability/Cumulative Density Function. (b) Frequency-rank and Liner Regression.
Fig 3.
Changes in the objective function value with the iteration number.
Fig 4.
Spatial distribution for full population by age group across subregions.
The basemap shapefile can be accessed at https://www.kaggle.com/datasets/keminzhu/basemap-shenzhen-subzones.
Fig 5.
Age distributions obtained from the demographic data and synthetic population at the subzone level, where each point represents the number of people in a certain age group within a subzone.
Fig 6.
Comparison of marginal distributions obtained from the demographic data and synthetic population for household size, age, and gender.
Fig 7.
Comparison of the joint distribution of age-gender obtained from the survey dataset and synthetic population.
Fig 8.
Comparison of the motif distribution in the synthetic populations generated by different methods, with motifs ordered according to the survey data.
Fig 9.
Comparison of interdependency distributions in simulated populations using different methods with those in the survey data, where the value of each cell represents the average frequency of the corresponding cross-age relationship in households.
Fig 10.
Framework of the agent-based epidemic model.
(a) The compartmental model used to describe the natural history of the infectious disease between the states. (b) Schematic illustration of the weighted multilayer contact network. Details of the epidemic model and the transitions between compartments are provided in the S1 Text.
Fig 11.
Epidemic curve simulated with a different synthetic population.