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

被引：1

作者：

Bustamante Orellana, Carlos ^{[1
]}

Lyerla, Jordan ^{[2
]}

Martin, Aaron ^{[1
]}

Milner, Fabio ^{[1
]}

Smith, Elisha ^{[3
]}

机构：

[1] Arizona State Univ, Simon A Levin Math Computat & Modeling Sci Ctr, A Wing,POB 873901, Tempe, AZ 85287 USA

[2] Univ Kansas, Dept Biol, Lawrence, KS USA

[3] Kean Univ, Dept Math Sci, Union, NJ USA

来源：

MATHEMATICAL POPULATION STUDIES | 2024年 / 31卷 / 02期

基金：

美国国家科学基金会;

关键词：

Age and sex structure; newly sexually active; ordinary differential equations; population model; sexually active; C63;

D O I：

10.1080/08898480.2024.2301868

中图分类号：

C921 [人口统计学];

学科分类号：

摘要：

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.

引用

下载

页码：105 / 115

页数：11

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