Synthetic populations are generally created using resampling and matching techniques, allowing access to statistically representative data without violating individuals' confidentiality [8]. In the end, they represent an added value by enabling more detailed exposure analyses [9].
Mar 8, 2024
Synthetic population is artificial population data that fits the distribution of people and their relevant characteristics living in a specified area
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What is a synthetic population generation?
What is a synthetic population model?
A synthetic population is an artificially created model, developed using data and statistical methods, that samples or resembles a real population.
This paper gives a theoretical introduction and presents two applications to generating a syn- thetic population. While most existing procedures concentrate on ...
Jan 29, 2015 · A synthetic population integrates a variety of databases from commercial and public sources into a common architecture for data exchange.
The procedure then generates a synthetic population by drawing at random the filled households of Ps with probabilities corresponding to the weights. This ...
Realistic individual-level populations can be generated that mimic specific characteristics about a geographical area, or a specific application; for example, ...
Oct 31, 2023 · The aim of this paper is to illustrate a method of construction of synthetic data by predicting individual features through models based on confidential data.
May 16, 2024 · The synthetic population defines individuals in the population with characteristics such as age, gender, height, weight, home and work location, ...
This study unveils a novel methodology for generating synthetic populations tailored for infectious disease transmission simulations.