ArticleScientific data2023
A synthetic population for agent-based modelling in Canada.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Synthetic data Using Population Profiles for cardiOvascular Risk facTors (SUPPORT) in mainland China.Scientific data · 2026Article
- Article
- Agent-based modelling of older adult needs for autonomous mobility-on-demand: a case study in Winnipeg, Canada.Transportation · 2026Article
- Multivariate Normal Distribution Method for a Virtual Cerebral Arterial Population.International journal for numerical methods in biomedical engineering · 2025Article
- EpiGeoPop: a tool for developing spatially accurate country-level epidemiological models.Scientific reports · 2025Article
- A visitor-enriched census in the U.S. cities using large-scale mobile positioning data.Scientific data · 2025Article
- An open-source and spatially diverse synthetic population dataset for agent-based modelling and microsimulation in Ireland.Data in brief · 2025Article
- A National Synthetic Populations Dataset for the United States.Scientific data · 2025Article
- A Large-Scale Geographically Explicit Synthetic Population with Social Networks for the United States.Scientific data · 2024Article
- A global dataset of 7 billion individuals with socio-economic characteristics.Scientific data · 2024Article
- A synthetic vulnerable population dataset for fine scale geographical equity analysis and urban planning.Scientific data · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In order to anticipate the impact of local public policies, a synthetic population reflecting the characteristics of the local population provides a valuable test bed. While synthetic population datasets are now available for several countries, there is no open-source synthetic population for Canada. We propose an open-source synthetic population of individuals and households at a fine geographical level for Canada for the years 2021, 2023 and 2030. Based on 2016 census data and population projections, the synthetic individuals have detailed socio-demographic attributes, including age, sex, income, education level, employment status and geographic locations, and are related into households. A comparison of the 2021 synthetic population with 2021 census data over various geographical areas validates the reliability of the synthetic dataset. Users can extract populations from the dataset for specific zones, to explore 'what if' scenarios on present and future populations. They can extend the dataset using local survey data to add new characteristics to individuals. Users can also run the code to generate populations for years up to 2042.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.