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Genotyping indicates marked heterogeneity of tuberculosis transmission in the United States, 2009–2018
Heterogeneity in the number of secondary tuberculosis (TB) cases per source case, the effective reproductive number, R, is important in modelling prevention strategies' impact on incidence. We estimated mean R (R(m)) and calculate the dispersion parameter of this distribution, k, using surveill...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8506451/ http://dx.doi.org/10.1017/S0950268821002041 |
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author | Rodriguez, Carly A. Li, Tenglong Self, Julie L. Jenkins, Helen E. Horsburgh, Charles R. White, Laura F. |
author_facet | Rodriguez, Carly A. Li, Tenglong Self, Julie L. Jenkins, Helen E. Horsburgh, Charles R. White, Laura F. |
author_sort | Rodriguez, Carly A. |
collection | PubMed |
description | Heterogeneity in the number of secondary tuberculosis (TB) cases per source case, the effective reproductive number, R, is important in modelling prevention strategies' impact on incidence. We estimated mean R (R(m)) and calculate the dispersion parameter of this distribution, k, using surveillance and genotyping data for U.S. cases during 2009–2018. We modelled transmission assuming cases in a cluster have matching genotypes and share characteristics related to geography, temporal proximity (i.e. serial interval) and time since U.S. arrival among non-U.S.-born persons. Complete data were available for 55 330/85 958 cases. Varying the serial interval and geographic proximity used to derive clusters, we consistently estimated R(m)<1.0 and k < 0.08; the low value of k indicates a small number of source cases produce a disproportionate number of secondary cases. U.S. TB reproductive number has a highly skewed distribution, indicating a minority of source cases disproportionately contribute to transmission. |
format | Online Article Text |
id | pubmed-8506451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85064512021-10-22 Genotyping indicates marked heterogeneity of tuberculosis transmission in the United States, 2009–2018 Rodriguez, Carly A. Li, Tenglong Self, Julie L. Jenkins, Helen E. Horsburgh, Charles R. White, Laura F. Epidemiol Infect Original Paper Heterogeneity in the number of secondary tuberculosis (TB) cases per source case, the effective reproductive number, R, is important in modelling prevention strategies' impact on incidence. We estimated mean R (R(m)) and calculate the dispersion parameter of this distribution, k, using surveillance and genotyping data for U.S. cases during 2009–2018. We modelled transmission assuming cases in a cluster have matching genotypes and share characteristics related to geography, temporal proximity (i.e. serial interval) and time since U.S. arrival among non-U.S.-born persons. Complete data were available for 55 330/85 958 cases. Varying the serial interval and geographic proximity used to derive clusters, we consistently estimated R(m)<1.0 and k < 0.08; the low value of k indicates a small number of source cases produce a disproportionate number of secondary cases. U.S. TB reproductive number has a highly skewed distribution, indicating a minority of source cases disproportionately contribute to transmission. Cambridge University Press 2021-09-14 /pmc/articles/PMC8506451/ http://dx.doi.org/10.1017/S0950268821002041 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Original Paper Rodriguez, Carly A. Li, Tenglong Self, Julie L. Jenkins, Helen E. Horsburgh, Charles R. White, Laura F. Genotyping indicates marked heterogeneity of tuberculosis transmission in the United States, 2009–2018 |
title | Genotyping indicates marked heterogeneity of tuberculosis transmission in the United States, 2009–2018 |
title_full | Genotyping indicates marked heterogeneity of tuberculosis transmission in the United States, 2009–2018 |
title_fullStr | Genotyping indicates marked heterogeneity of tuberculosis transmission in the United States, 2009–2018 |
title_full_unstemmed | Genotyping indicates marked heterogeneity of tuberculosis transmission in the United States, 2009–2018 |
title_short | Genotyping indicates marked heterogeneity of tuberculosis transmission in the United States, 2009–2018 |
title_sort | genotyping indicates marked heterogeneity of tuberculosis transmission in the united states, 2009–2018 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8506451/ http://dx.doi.org/10.1017/S0950268821002041 |
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