Modeling the impact of changing sexual behaviors with opposite-sex partners and STI testing among women and men ages 15–44 on STI diagnosis rates in the United States 2012–2019

IF 8.8 3区 医学 Q1 Medicine
Deven T. Hamilton , David A. Katz , Laura T. Haderxhanaj , Casey E. Copen , Ian H. Spicknall , Matthew Hogben
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引用次数: 0

Abstract

Objective

To estimate the potential contributions of reported changes in frequency of penile-vaginal sex (PVS), condom use and STI screening to changes in gonorrhea and chlamydial diagnoses from 2012 to 2019.

Methods

An agent-based model of the heterosexual population in the U.S. simulated the STI epidemics. Baseline was calibrated to 2012 diagnosis rates, testing, condom use, and frequency of PVS. Counterfactuals used behaviors from the 2017-2019 NSFG, and we evaluated changes in diagnosis and incidence rates in 2019.

Results

Higher testing rates increased gonorrhea and chlamydia diagnosis by 14% and 13%, respectively, but did not reduce incidence. Declining frequency of PVS reduced the diagnosis rate for gonorrhea and chlamydia 6% and 3% respectively while reducing incidence by 10% and 9% respectively. Declining condom use had negligible impact on diagnosis and incidence.

Conclusion

Understanding how changing behavior drives STI incidence is essential to addressing the growing epidemics. Changes in testing and frequency of PVS likely contributed to some, but not all, of the changes in diagnoses. More research is needed to understand the context within which changing sexual behavior and testing are occurring.

2012-2019年美国15-44岁男女异性性行为改变和性传播感染检测对性传播感染诊断率的影响建模
目的评估2012 - 2019年报告的阴茎-阴道性交(PVS)频率、避孕套使用和性传播感染筛查的变化对淋病和衣原体诊断变化的潜在贡献。方法采用基于agent的模型模拟美国异性恋人群的性传播感染。基线被校准为2012年的诊断率、检测、避孕套使用和PVS频率。反事实使用了2017-2019年NSFG的行为,我们评估了2019年诊断和发病率的变化。结果较高的检测率使淋病和衣原体的诊断率分别提高14%和13%,但没有降低发病率。PVS频率的下降使淋病和衣原体诊断率分别降低了6%和衣原体诊断率,发病率分别降低了10%和9%。避孕套使用的减少对诊断和发病率的影响可以忽略不计。结论了解行为变化如何推动性传播感染的发生,对于解决日益严重的流行病至关重要。PVS检测和频率的变化可能导致了诊断的一些变化,但不是全部。需要更多的研究来了解性行为改变和检测发生的背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Infectious Disease Modelling
Infectious Disease Modelling Mathematics-Applied Mathematics
CiteScore
17.00
自引率
3.40%
发文量
73
审稿时长
17 weeks
期刊介绍: Infectious Disease Modelling is an open access journal that undergoes peer-review. Its main objective is to facilitate research that combines mathematical modelling, retrieval and analysis of infection disease data, and public health decision support. The journal actively encourages original research that improves this interface, as well as review articles that highlight innovative methodologies relevant to data collection, informatics, and policy making in the field of public health.
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