Explaining “U-Shaped” Distributions of Population Substance Use with a Simple Computational Approach

This study demonstrates how a simple, theoretically-grounded computational model of individual-level substance use patterns can help substance use researchers understand the emergence of population-level, cross-sectional U-shaped distributions of substance use.

Authors

Jacob T. Borodovsky (ORCID: https://orcid.org/0000-0001-7112-5677)

Institutions

Dartmouth College (US)
Dartmouth Institute for Health Policy and Clinical Practice (US)

Publication Details

Journal: Journal of Artificial Societies and Social Simulation
Published: 2025-01-01
DOI: https://doi.org/10.18564/jasss.5586
Primary Topic: Census and Population Estimation
Type: article
Field-Weighted Citation Impact: 0.00

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article

Explaining “U-Shaped” Distributions of Population Substance Use with a Simple Computational Approach

Jacob T. Borodovsky

Jan 1, 2025

Journal of Artificial Societies and Social Simulation

Census and Population Estimation

article

Explaining “U-Shaped” Distributions of Population Substance Use with a Simple Computational Approach

Jacob T. Borodovsky

January 1, 2025article en

Abstract

Journal of Artificial Societies and Social SimulationVol. 28(2)

Dartmouth College (US), Dartmouth Institute for Health Policy and Clinical Practice (US)

Zero hunger

Openalex Percentile: Top 93%

Census and Population Estimation

DOI Open Access PDF OpenAlex

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Explaining “U-Shaped” Distributions of Population Substance Use with a Simple Computational Approach — Jacob T. Borodovsky · Journal of Artificial Societies and Social Simulation (2025) | TGRS Research Map | TGRS