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The Potential Population-Level Impact of Different Gonorrhea Screening Strategies in Baltimore and San Francisco: An Exploratory Mathematical Modeling Analysis

BACKGROUND: Baltimore and San Francisco represent high burden areas for gonorrhea in the United States. We explored different gonorrhea screening strategies and their comparative impact in the 2 cities. METHODS: We used a compartmental transmission model of gonorrhea stratified by sex, sexual orient...

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Autores principales: Rönn, Minttu M., Testa, Christian, Tuite, Ashleigh R., Chesson, Harrell W., Gift, Thomas L., Schumacher, Christina, Williford, Sarah L., Zhu, Lin, Bellerose, Meghan, Earnest, Rebecca, Malyuta, Yelena, Hsu, Katherine K., Salomon, Joshua A., Menzies, Nicolas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7012354/
https://www.ncbi.nlm.nih.gov/pubmed/31842089
http://dx.doi.org/10.1097/OLQ.0000000000001108
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author Rönn, Minttu M.
Testa, Christian
Tuite, Ashleigh R.
Chesson, Harrell W.
Gift, Thomas L.
Schumacher, Christina
Williford, Sarah L.
Zhu, Lin
Bellerose, Meghan
Earnest, Rebecca
Malyuta, Yelena
Hsu, Katherine K.
Salomon, Joshua A.
Menzies, Nicolas A.
author_facet Rönn, Minttu M.
Testa, Christian
Tuite, Ashleigh R.
Chesson, Harrell W.
Gift, Thomas L.
Schumacher, Christina
Williford, Sarah L.
Zhu, Lin
Bellerose, Meghan
Earnest, Rebecca
Malyuta, Yelena
Hsu, Katherine K.
Salomon, Joshua A.
Menzies, Nicolas A.
author_sort Rönn, Minttu M.
collection PubMed
description BACKGROUND: Baltimore and San Francisco represent high burden areas for gonorrhea in the United States. We explored different gonorrhea screening strategies and their comparative impact in the 2 cities. METHODS: We used a compartmental transmission model of gonorrhea stratified by sex, sexual orientation, age, and race/ethnicity, calibrated to city-level surveillance data for 2010 to 2017. We analyzed the benefits of 5-year interventions which improved retention in care cascade or increased screening from current levels. We also examined a 1-year outreach screening intervention of high-activity populations. RESULTS: In Baltimore, annual screening of population aged 15 to 24 years was the most efficient of the 5-year interventions with 17.9 additional screening tests (95% credible interval [CrI], 11.8–31.4) needed per infection averted while twice annual screening of the same population averted the most infections (5.4%; 95% CrI, 3.1–8.2%) overall with 25.3 (95% CrI, 19.4–33.4) tests per infection averted. In San Francisco, quarter-annual screening of all men who have sex with men was the most efficient with 16.2 additional (95% CrI, 12.5–44.5) tests needed per infection averted, and it also averted the most infections (10.8%; 95% CrI, 1.2–17.8%). Interventions that reduce loss to follow-up after diagnosis improved outcomes. Depending on the ability of a short-term outreach screening to screen populations at higher acquisition risk, such interventions can offer efficient ways to expand screening coverage. CONCLUSIONS: Data on gonorrhea prevalence distribution and time trends locally would improve the analyses. More focused intervention strategies could increase the impact and efficiency of screening interventions.
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spelling pubmed-70123542020-02-19 The Potential Population-Level Impact of Different Gonorrhea Screening Strategies in Baltimore and San Francisco: An Exploratory Mathematical Modeling Analysis Rönn, Minttu M. Testa, Christian Tuite, Ashleigh R. Chesson, Harrell W. Gift, Thomas L. Schumacher, Christina Williford, Sarah L. Zhu, Lin Bellerose, Meghan Earnest, Rebecca Malyuta, Yelena Hsu, Katherine K. Salomon, Joshua A. Menzies, Nicolas A. Sex Transm Dis Original Studies BACKGROUND: Baltimore and San Francisco represent high burden areas for gonorrhea in the United States. We explored different gonorrhea screening strategies and their comparative impact in the 2 cities. METHODS: We used a compartmental transmission model of gonorrhea stratified by sex, sexual orientation, age, and race/ethnicity, calibrated to city-level surveillance data for 2010 to 2017. We analyzed the benefits of 5-year interventions which improved retention in care cascade or increased screening from current levels. We also examined a 1-year outreach screening intervention of high-activity populations. RESULTS: In Baltimore, annual screening of population aged 15 to 24 years was the most efficient of the 5-year interventions with 17.9 additional screening tests (95% credible interval [CrI], 11.8–31.4) needed per infection averted while twice annual screening of the same population averted the most infections (5.4%; 95% CrI, 3.1–8.2%) overall with 25.3 (95% CrI, 19.4–33.4) tests per infection averted. In San Francisco, quarter-annual screening of all men who have sex with men was the most efficient with 16.2 additional (95% CrI, 12.5–44.5) tests needed per infection averted, and it also averted the most infections (10.8%; 95% CrI, 1.2–17.8%). Interventions that reduce loss to follow-up after diagnosis improved outcomes. Depending on the ability of a short-term outreach screening to screen populations at higher acquisition risk, such interventions can offer efficient ways to expand screening coverage. CONCLUSIONS: Data on gonorrhea prevalence distribution and time trends locally would improve the analyses. More focused intervention strategies could increase the impact and efficiency of screening interventions. Lippincott Williams & Wilkins 2020-03 2019-12-12 /pmc/articles/PMC7012354/ /pubmed/31842089 http://dx.doi.org/10.1097/OLQ.0000000000001108 Text en Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Sexually Transmitted Diseases Association. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Original Studies
Rönn, Minttu M.
Testa, Christian
Tuite, Ashleigh R.
Chesson, Harrell W.
Gift, Thomas L.
Schumacher, Christina
Williford, Sarah L.
Zhu, Lin
Bellerose, Meghan
Earnest, Rebecca
Malyuta, Yelena
Hsu, Katherine K.
Salomon, Joshua A.
Menzies, Nicolas A.
The Potential Population-Level Impact of Different Gonorrhea Screening Strategies in Baltimore and San Francisco: An Exploratory Mathematical Modeling Analysis
title The Potential Population-Level Impact of Different Gonorrhea Screening Strategies in Baltimore and San Francisco: An Exploratory Mathematical Modeling Analysis
title_full The Potential Population-Level Impact of Different Gonorrhea Screening Strategies in Baltimore and San Francisco: An Exploratory Mathematical Modeling Analysis
title_fullStr The Potential Population-Level Impact of Different Gonorrhea Screening Strategies in Baltimore and San Francisco: An Exploratory Mathematical Modeling Analysis
title_full_unstemmed The Potential Population-Level Impact of Different Gonorrhea Screening Strategies in Baltimore and San Francisco: An Exploratory Mathematical Modeling Analysis
title_short The Potential Population-Level Impact of Different Gonorrhea Screening Strategies in Baltimore and San Francisco: An Exploratory Mathematical Modeling Analysis
title_sort potential population-level impact of different gonorrhea screening strategies in baltimore and san francisco: an exploratory mathematical modeling analysis
topic Original Studies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7012354/
https://www.ncbi.nlm.nih.gov/pubmed/31842089
http://dx.doi.org/10.1097/OLQ.0000000000001108
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