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Mathematical modeling study of school-based chlamydia screening: potential impact on chlamydia prevalence in intervention schools and surrounding communities
BACKGROUND: Chlamydia screening in high schools offers a way to reach adolescents outside of a traditional clinic setting. Using transmission dynamic modeling, we examined the potential impact of high-school-based chlamydia screening programs on the burden of infection within intervention schools an...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487537/ https://www.ncbi.nlm.nih.gov/pubmed/32891137 http://dx.doi.org/10.1186/s12889-020-09466-y |
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author | Rönn, Minttu M. Dunville, Richard Wang, Li Yan Bellerose, Meghan Malyuta, Yelena Menzies, Nicolas A. Aslam, Maria Lewis, Felicia Walker-Baban, Cherie Asbel, Lenore Parchem, Sarah Masinter, Lisa Perez, Ernestina Gift, Tom L. Hsu, Katherine Barrios, Lisa C. Salomon, Joshua A. |
author_facet | Rönn, Minttu M. Dunville, Richard Wang, Li Yan Bellerose, Meghan Malyuta, Yelena Menzies, Nicolas A. Aslam, Maria Lewis, Felicia Walker-Baban, Cherie Asbel, Lenore Parchem, Sarah Masinter, Lisa Perez, Ernestina Gift, Tom L. Hsu, Katherine Barrios, Lisa C. Salomon, Joshua A. |
author_sort | Rönn, Minttu M. |
collection | PubMed |
description | BACKGROUND: Chlamydia screening in high schools offers a way to reach adolescents outside of a traditional clinic setting. Using transmission dynamic modeling, we examined the potential impact of high-school-based chlamydia screening programs on the burden of infection within intervention schools and surrounding communities, under varying epidemiological and programmatic conditions. METHODS: A chlamydia transmission model was calibrated to epidemiological data from three different settings. Philadelphia and Chicago are two high-burden cities with existing school-based screening programs. Rural Iowa does not have an existing program but represents a low-burden setting. We modeled the effects of the two existing programs to analyze the potential influence of program coverage and student participation. All three settings were used to examine a broader set of hypothetical programs with varying coverage levels and time trends in participation. RESULTS: In the modeled Philadelphia program, prevalence among the intervention schools’ sexually active 15–18 years old population was 4.34% (95% credible interval 3.75–4.71%)after 12 program years compared to 5.03% (4.39–5.43%) in absence of the program. In the modeled Chicago program, prevalence was estimated as 5.97% (2.60–7.88%) after 4 program years compared to 7.00% (3.08–9.29%) without the program. In the broader hypothetical scenarios including both high-burden and low-burden settings, impact of school-based screening programs was greater in absolute terms in the higher-prevalence settings, and benefits in the community were approximately proportional to population coverage of intervention schools. Most benefits were garnered if the student participation did not decline over time. CONCLUSIONS: Sustained high student participation in school-based screening programs and broad coverage of schools within a target community are likely needed to maximize program benefits in terms of reduced burden of chlamydia in the adolescent population. |
format | Online Article Text |
id | pubmed-7487537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74875372020-09-15 Mathematical modeling study of school-based chlamydia screening: potential impact on chlamydia prevalence in intervention schools and surrounding communities Rönn, Minttu M. Dunville, Richard Wang, Li Yan Bellerose, Meghan Malyuta, Yelena Menzies, Nicolas A. Aslam, Maria Lewis, Felicia Walker-Baban, Cherie Asbel, Lenore Parchem, Sarah Masinter, Lisa Perez, Ernestina Gift, Tom L. Hsu, Katherine Barrios, Lisa C. Salomon, Joshua A. BMC Public Health Research Article BACKGROUND: Chlamydia screening in high schools offers a way to reach adolescents outside of a traditional clinic setting. Using transmission dynamic modeling, we examined the potential impact of high-school-based chlamydia screening programs on the burden of infection within intervention schools and surrounding communities, under varying epidemiological and programmatic conditions. METHODS: A chlamydia transmission model was calibrated to epidemiological data from three different settings. Philadelphia and Chicago are two high-burden cities with existing school-based screening programs. Rural Iowa does not have an existing program but represents a low-burden setting. We modeled the effects of the two existing programs to analyze the potential influence of program coverage and student participation. All three settings were used to examine a broader set of hypothetical programs with varying coverage levels and time trends in participation. RESULTS: In the modeled Philadelphia program, prevalence among the intervention schools’ sexually active 15–18 years old population was 4.34% (95% credible interval 3.75–4.71%)after 12 program years compared to 5.03% (4.39–5.43%) in absence of the program. In the modeled Chicago program, prevalence was estimated as 5.97% (2.60–7.88%) after 4 program years compared to 7.00% (3.08–9.29%) without the program. In the broader hypothetical scenarios including both high-burden and low-burden settings, impact of school-based screening programs was greater in absolute terms in the higher-prevalence settings, and benefits in the community were approximately proportional to population coverage of intervention schools. Most benefits were garnered if the student participation did not decline over time. CONCLUSIONS: Sustained high student participation in school-based screening programs and broad coverage of schools within a target community are likely needed to maximize program benefits in terms of reduced burden of chlamydia in the adolescent population. BioMed Central 2020-09-05 /pmc/articles/PMC7487537/ /pubmed/32891137 http://dx.doi.org/10.1186/s12889-020-09466-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Rönn, Minttu M. Dunville, Richard Wang, Li Yan Bellerose, Meghan Malyuta, Yelena Menzies, Nicolas A. Aslam, Maria Lewis, Felicia Walker-Baban, Cherie Asbel, Lenore Parchem, Sarah Masinter, Lisa Perez, Ernestina Gift, Tom L. Hsu, Katherine Barrios, Lisa C. Salomon, Joshua A. Mathematical modeling study of school-based chlamydia screening: potential impact on chlamydia prevalence in intervention schools and surrounding communities |
title | Mathematical modeling study of school-based chlamydia screening: potential impact on chlamydia prevalence in intervention schools and surrounding communities |
title_full | Mathematical modeling study of school-based chlamydia screening: potential impact on chlamydia prevalence in intervention schools and surrounding communities |
title_fullStr | Mathematical modeling study of school-based chlamydia screening: potential impact on chlamydia prevalence in intervention schools and surrounding communities |
title_full_unstemmed | Mathematical modeling study of school-based chlamydia screening: potential impact on chlamydia prevalence in intervention schools and surrounding communities |
title_short | Mathematical modeling study of school-based chlamydia screening: potential impact on chlamydia prevalence in intervention schools and surrounding communities |
title_sort | mathematical modeling study of school-based chlamydia screening: potential impact on chlamydia prevalence in intervention schools and surrounding communities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487537/ https://www.ncbi.nlm.nih.gov/pubmed/32891137 http://dx.doi.org/10.1186/s12889-020-09466-y |
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