Published October 1, 2026 | Version 2.4.0

Synthetic Population for Virginia, US (ver. 2.4.0)

Description

The synthetic population for the state of Virginia is constructed to be statistically indistinguishable from the real population at the spatial resolution of a US block group as measured by the US Census on selected demographic variables, which in this case are age (AGEP), household income (HINCP), household size (NP), race (RAC1P) and hispanic (HISP). The population includes people and households with demographic characteristics along with residential locations and general activity locations at parcel-level resolution and accuracy. All individuals are assigned activity sequences and activity locations through statistical matching methods. Finally, a contact network is constructed. The precise way in which this is done depends on the intended scenario. Here the target application is epidemic spread of influenza-like diseases, and the construction of the network is done at each location through a modified Erdos-Renyi random graph.

About this Zenodo mirror: this record mirrors the synthetic population for Virginia originally deposited in the UVA Dataverse. It is republished here to provide a stable, programmatically accessible source for the PhyloGeographic Analysis Similars (PhyloGAS) benchmarking framework, which consumes these files as its digital twin layer. The data are unmodified.

Technical info

Intended use: within PhyloGAS these files supply the demographic and contact structure underlying simulated outbreaks. The persontrait, person, household and residence_locations files are joined into a single demographics table that is attached as metadata to synthetic viral genomes, so that sampling strategies can be evaluated against realistic demographic and geographic structure. The EpiHiper persontrait and contact network files are the inputs required to run the agent-based model itself.

Related: the EpiHiper transmission networks generated from these populations are published separately at 10.5281/zenodo.23067670. The PhyloGAS software is at github.com/NSSAC/PhyloGAS.

Files

activity_types.csv

Files (2.2 GB)

Name Size
md5:98261939a2748699e9771e4c65b63701
104 Bytes Preview Download
md5:cf835bbb5dcd9b87ad3ee3efe17a1336
533.7 kB Preview Download
md5:e27b26f73066b508330176a5d736b3a7
120.8 MB Download
md5:14bfb2877c899e8bce54989b71f0efc6
4.5 MB Download
md5:975f856e6f44f4e37345ebeaf470c253
951.3 MB Download
md5:dc7aa659ca1512c2afc0c81eed2df103
21.2 MB Download
md5:ce93be5e50b8c70b08d0f51cbd2b3249
181.2 MB Download
md5:7869de54a998cd0f890ddf62842807e3
3.1 MB Download
md5:9eea2e5dfc15711b7d5426d73048dd21
26.7 MB Download
md5:13bcf3726b4b2d5ec23b5de5593ba5d2
26.7 MB Download
md5:b8cb3b2e8b455f8657706dfcf007e31c
361.6 MB Download
md5:2c221b26e04471af959f50b4b747ddc8
455.2 MB Download
md5:cab93db949662cfa6789e39f58d583fb
34.5 MB Download

Additional details

Related works

Cites
Journal article: 10.1093/pnasnexus/pgae557 (DOI)
Conference paper: 10.1109/TPS-ISA58951.2023.00013 (DOI)
Is supplement to
Dataset: 10.5281/zenodo.23067670 (DOI)
Software: https://github.com/NSSAC/PhyloGAS (URL)

Funding

Centers for Disease Control and Prevention
United States (U.S.) Pathogen Genomics Centers of Excellence (PGCoE) CK22-2204