Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodriguez, Carly A., Li, Tenglong, Self, Julie L., Jenkins, Helen E., Horsburgh, Charles R., White, Laura F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8506451/
http://dx.doi.org/10.1017/S0950268821002041
_version_ 1784581711925870592
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
work_keys_str_mv AT rodriguezcarlya genotypingindicatesmarkedheterogeneityoftuberculosistransmissionintheunitedstates20092018
AT litenglong genotypingindicatesmarkedheterogeneityoftuberculosistransmissionintheunitedstates20092018
AT selfjuliel genotypingindicatesmarkedheterogeneityoftuberculosistransmissionintheunitedstates20092018
AT jenkinshelene genotypingindicatesmarkedheterogeneityoftuberculosistransmissionintheunitedstates20092018
AT horsburghcharlesr genotypingindicatesmarkedheterogeneityoftuberculosistransmissionintheunitedstates20092018
AT whitelauraf genotypingindicatesmarkedheterogeneityoftuberculosistransmissionintheunitedstates20092018