Cargando…
Challenges and solutions to estimating tuberculosis disease incidence by country of birth in Los Angeles County
BACKGROUND: Among U.S. residents, tuberculosis (TB) disease disproportionally affects non-U.S.-born persons and varies substantially by country of birth. Yet TB disease incidence rates by country of birth are not routinely reported despite these large, known health disparities. This is in part due t...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298681/ https://www.ncbi.nlm.nih.gov/pubmed/30562366 http://dx.doi.org/10.1371/journal.pone.0209051 |
_version_ | 1783381350467764224 |
---|---|
author | Readhead, Adam Chang, Alicia H. Ghosh, Jo Kay Sorvillo, Frank Detels, Roger Higashi, Julie |
author_facet | Readhead, Adam Chang, Alicia H. Ghosh, Jo Kay Sorvillo, Frank Detels, Roger Higashi, Julie |
author_sort | Readhead, Adam |
collection | PubMed |
description | BACKGROUND: Among U.S. residents, tuberculosis (TB) disease disproportionally affects non-U.S.-born persons and varies substantially by country of birth. Yet TB disease incidence rates by country of birth are not routinely reported despite these large, known health disparities. This is in part due to the technical challenges of using standard regression analysis with a communicable disease. Here, we estimate tuberculosis disease incidence rates by country of birth and demonstrate methods for overcoming these challenges using TB surveillance data from Los Angeles County which has more than 3.5 million non-U.S.-born residents. METHODS: Cross-sectional data on 5,447 cases of TB disease from Los Angeles County were combined with population estimates from the American Community Survey to calculate TB disease incidence rates for 2005 through 2011. Adjusted incidence rates were modelled using Poisson and negative binomial regressions. Bayesian models were used to account for the uncertainty in population estimates. RESULTS: The unadjusted incidence rate among non-U.S.-born persons was 15 per 100,000 person-years in contrast to the rate among U.S-born persons, 2 per 100,000. The unadjusted incidence rates were 44 and 12 per 100,000 person-years among persons born in the Philippines and Mexico, respectively. In adjusted analysis, persons born in the Philippines were 2.6 (95% CI: 2.3–3.1) times as likely to be reported as a TB case than persons born in Mexico. Bayesian models showed similar results. CONCLUSION: This study confirms substantial disparities in TB disease by country of birth in Los Angeles County. Accounting for age, gender, years in residence and year of diagnosis, persons from the Philippines, Vietnam and several other countries had much higher rates of reported TB disease than other foreign countries. We demonstrated that incidence rates by country of birth can be estimated using available data despite technical challenges. |
format | Online Article Text |
id | pubmed-6298681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62986812018-12-28 Challenges and solutions to estimating tuberculosis disease incidence by country of birth in Los Angeles County Readhead, Adam Chang, Alicia H. Ghosh, Jo Kay Sorvillo, Frank Detels, Roger Higashi, Julie PLoS One Research Article BACKGROUND: Among U.S. residents, tuberculosis (TB) disease disproportionally affects non-U.S.-born persons and varies substantially by country of birth. Yet TB disease incidence rates by country of birth are not routinely reported despite these large, known health disparities. This is in part due to the technical challenges of using standard regression analysis with a communicable disease. Here, we estimate tuberculosis disease incidence rates by country of birth and demonstrate methods for overcoming these challenges using TB surveillance data from Los Angeles County which has more than 3.5 million non-U.S.-born residents. METHODS: Cross-sectional data on 5,447 cases of TB disease from Los Angeles County were combined with population estimates from the American Community Survey to calculate TB disease incidence rates for 2005 through 2011. Adjusted incidence rates were modelled using Poisson and negative binomial regressions. Bayesian models were used to account for the uncertainty in population estimates. RESULTS: The unadjusted incidence rate among non-U.S.-born persons was 15 per 100,000 person-years in contrast to the rate among U.S-born persons, 2 per 100,000. The unadjusted incidence rates were 44 and 12 per 100,000 person-years among persons born in the Philippines and Mexico, respectively. In adjusted analysis, persons born in the Philippines were 2.6 (95% CI: 2.3–3.1) times as likely to be reported as a TB case than persons born in Mexico. Bayesian models showed similar results. CONCLUSION: This study confirms substantial disparities in TB disease by country of birth in Los Angeles County. Accounting for age, gender, years in residence and year of diagnosis, persons from the Philippines, Vietnam and several other countries had much higher rates of reported TB disease than other foreign countries. We demonstrated that incidence rates by country of birth can be estimated using available data despite technical challenges. Public Library of Science 2018-12-18 /pmc/articles/PMC6298681/ /pubmed/30562366 http://dx.doi.org/10.1371/journal.pone.0209051 Text en © 2018 Readhead et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Readhead, Adam Chang, Alicia H. Ghosh, Jo Kay Sorvillo, Frank Detels, Roger Higashi, Julie Challenges and solutions to estimating tuberculosis disease incidence by country of birth in Los Angeles County |
title | Challenges and solutions to estimating tuberculosis disease incidence by country of birth in Los Angeles County |
title_full | Challenges and solutions to estimating tuberculosis disease incidence by country of birth in Los Angeles County |
title_fullStr | Challenges and solutions to estimating tuberculosis disease incidence by country of birth in Los Angeles County |
title_full_unstemmed | Challenges and solutions to estimating tuberculosis disease incidence by country of birth in Los Angeles County |
title_short | Challenges and solutions to estimating tuberculosis disease incidence by country of birth in Los Angeles County |
title_sort | challenges and solutions to estimating tuberculosis disease incidence by country of birth in los angeles county |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298681/ https://www.ncbi.nlm.nih.gov/pubmed/30562366 http://dx.doi.org/10.1371/journal.pone.0209051 |
work_keys_str_mv | AT readheadadam challengesandsolutionstoestimatingtuberculosisdiseaseincidencebycountryofbirthinlosangelescounty AT changaliciah challengesandsolutionstoestimatingtuberculosisdiseaseincidencebycountryofbirthinlosangelescounty AT ghoshjokay challengesandsolutionstoestimatingtuberculosisdiseaseincidencebycountryofbirthinlosangelescounty AT sorvillofrank challengesandsolutionstoestimatingtuberculosisdiseaseincidencebycountryofbirthinlosangelescounty AT detelsroger challengesandsolutionstoestimatingtuberculosisdiseaseincidencebycountryofbirthinlosangelescounty AT higashijulie challengesandsolutionstoestimatingtuberculosisdiseaseincidencebycountryofbirthinlosangelescounty |