Estimating the structure by age and sex of the US sexually active population

Carlos Bustamante Orellana; Jordan Lyerla; Aaron Martin; Fabio Milner; Elisha Smith

doi:10.1080/08898480.2024.2301868

Estimating the structure by age and sex of the US sexually active population

Carlos Bustamante Orellana, Jordan Lyerla, Aaron Martin, Fabio Milner, Elisha Smith

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

A model combines demographic data provided by the United States Census Bureau for 2021 with survey data on sexual activity from the Centers for Disease Control and Prevention to estimate the structure by age and sex of the sexually active population in the United States. It also provides the proportions of newly sexually active people by age and sex. The model is based on percentages of sexually active people by age and sex, and on an ordinary differential equation formalizing a “learning process” for the years 2009 to 2019. The data produced fit well with the empirical data for each age and sex.

Original language	English (US)
Journal	Mathematical population studies
DOIs	https://doi.org/10.1080/08898480.2024.2301868
State	Accepted/In press - 2024
Externally published	Yes

Keywords

Age and sex structure
newly sexually active
ordinary differential equations
population model
sexually active

ASJC Scopus subject areas

Demography
Geography, Planning and Development
General Mathematics
General Agricultural and Biological Sciences

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10.1080/08898480.2024.2301868

Cite this

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title = "Estimating the structure by age and sex of the US sexually active population",

abstract = "A model combines demographic data provided by the United States Census Bureau for 2021 with survey data on sexual activity from the Centers for Disease Control and Prevention to estimate the structure by age and sex of the sexually active population in the United States. It also provides the proportions of newly sexually active people by age and sex. The model is based on percentages of sexually active people by age and sex, and on an ordinary differential equation formalizing a “learning process” for the years 2009 to 2019. The data produced fit well with the empirical data for each age and sex.",

keywords = "Age and sex structure, newly sexually active, ordinary differential equations, population model, sexually active",

author = "{Bustamante Orellana}, Carlos and Jordan Lyerla and Aaron Martin and Fabio Milner and Elisha Smith",

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AU - Milner, Fabio

AU - Smith, Elisha

PY - 2024

Y1 - 2024

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AB - A model combines demographic data provided by the United States Census Bureau for 2021 with survey data on sexual activity from the Centers for Disease Control and Prevention to estimate the structure by age and sex of the sexually active population in the United States. It also provides the proportions of newly sexually active people by age and sex. The model is based on percentages of sexually active people by age and sex, and on an ordinary differential equation formalizing a “learning process” for the years 2009 to 2019. The data produced fit well with the empirical data for each age and sex.

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KW - newly sexually active

KW - ordinary differential equations

KW - population model

KW - sexually active

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JF - Mathematical population studies

ER -

Estimating the structure by age and sex of the US sexually active population

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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