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Geospatial analysis of reported activity locations to identify sites for tuberculosis screening
Mobile screening units can help close tuberculosis case detection gaps. Placing screening units where people at high risk for undiagnosed tuberculosis preferentially spend time could make screening more resource-effective. We conducted a case–control study in Lima, Peru to identify locations where p...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387880/ https://www.ncbi.nlm.nih.gov/pubmed/35982104 http://dx.doi.org/10.1038/s41598-022-18456-6 |
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author | Yuen, Courtney M. Brooks, Meredith B. Millones, Ana Karina Acosta, Diana Del Águila-Rojas, Erika Campos, Hortencia Farroñay, Sheyla Morales, Giannina Ramirez-Sandoval, Judith Nichols, Tim C. Jimenez, Judith Jenkins, Helen E. Lecca, Leonid |
author_facet | Yuen, Courtney M. Brooks, Meredith B. Millones, Ana Karina Acosta, Diana Del Águila-Rojas, Erika Campos, Hortencia Farroñay, Sheyla Morales, Giannina Ramirez-Sandoval, Judith Nichols, Tim C. Jimenez, Judith Jenkins, Helen E. Lecca, Leonid |
author_sort | Yuen, Courtney M. |
collection | PubMed |
description | Mobile screening units can help close tuberculosis case detection gaps. Placing screening units where people at high risk for undiagnosed tuberculosis preferentially spend time could make screening more resource-effective. We conducted a case–control study in Lima, Peru to identify locations where people with tuberculosis were more likely to spend time than community controls. We surveyed participants about activity locations over the past 6 months. We used density-based clustering to assess how patient and control activity locations differed, and logistic regression to compare location-based exposures. We included 109 tuberculosis patients and 79 controls. In density-based clustering analysis, the two groups had similar patterns of living locations, but their work locations clustered in distinct areas. Both groups were similarly likely to use public transit, but patients predominantly used buses and were less likely to use rapid transit (adjusted odds ratio [aOR] 0.31, 95% confidence interval [CI] 0.10–0.96) or taxis (aOR 0.42, 95% CI 0.21–0.85). Patients were more likely to have spent time in prison (aOR 11.55, 95% CI 1.48–90.13). Placing mobile screening units at bus terminals serving locations where tuberculosis patients have worked and within and around prisons could help reach people with undiagnosed tuberculosis. |
format | Online Article Text |
id | pubmed-9387880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93878802022-08-19 Geospatial analysis of reported activity locations to identify sites for tuberculosis screening Yuen, Courtney M. Brooks, Meredith B. Millones, Ana Karina Acosta, Diana Del Águila-Rojas, Erika Campos, Hortencia Farroñay, Sheyla Morales, Giannina Ramirez-Sandoval, Judith Nichols, Tim C. Jimenez, Judith Jenkins, Helen E. Lecca, Leonid Sci Rep Article Mobile screening units can help close tuberculosis case detection gaps. Placing screening units where people at high risk for undiagnosed tuberculosis preferentially spend time could make screening more resource-effective. We conducted a case–control study in Lima, Peru to identify locations where people with tuberculosis were more likely to spend time than community controls. We surveyed participants about activity locations over the past 6 months. We used density-based clustering to assess how patient and control activity locations differed, and logistic regression to compare location-based exposures. We included 109 tuberculosis patients and 79 controls. In density-based clustering analysis, the two groups had similar patterns of living locations, but their work locations clustered in distinct areas. Both groups were similarly likely to use public transit, but patients predominantly used buses and were less likely to use rapid transit (adjusted odds ratio [aOR] 0.31, 95% confidence interval [CI] 0.10–0.96) or taxis (aOR 0.42, 95% CI 0.21–0.85). Patients were more likely to have spent time in prison (aOR 11.55, 95% CI 1.48–90.13). Placing mobile screening units at bus terminals serving locations where tuberculosis patients have worked and within and around prisons could help reach people with undiagnosed tuberculosis. Nature Publishing Group UK 2022-08-18 /pmc/articles/PMC9387880/ /pubmed/35982104 http://dx.doi.org/10.1038/s41598-022-18456-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yuen, Courtney M. Brooks, Meredith B. Millones, Ana Karina Acosta, Diana Del Águila-Rojas, Erika Campos, Hortencia Farroñay, Sheyla Morales, Giannina Ramirez-Sandoval, Judith Nichols, Tim C. Jimenez, Judith Jenkins, Helen E. Lecca, Leonid Geospatial analysis of reported activity locations to identify sites for tuberculosis screening |
title | Geospatial analysis of reported activity locations to identify sites for tuberculosis screening |
title_full | Geospatial analysis of reported activity locations to identify sites for tuberculosis screening |
title_fullStr | Geospatial analysis of reported activity locations to identify sites for tuberculosis screening |
title_full_unstemmed | Geospatial analysis of reported activity locations to identify sites for tuberculosis screening |
title_short | Geospatial analysis of reported activity locations to identify sites for tuberculosis screening |
title_sort | geospatial analysis of reported activity locations to identify sites for tuberculosis screening |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387880/ https://www.ncbi.nlm.nih.gov/pubmed/35982104 http://dx.doi.org/10.1038/s41598-022-18456-6 |
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