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Transmission of rhinovirus in the Utah BIG-LoVE families: Consequences of age and household structure

BACKGROUND: Common cold viruses create significant health and financial burdens, and understanding key loci of transmission would help focus control strategies. This study (1) examines factors that influence when individuals transition from a negative to positive test (acquisition) or a positive to...

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Autores principales: Adler, Frederick R., Stockmann, Chris, Ampofo, Krow, Pavia, Andrew T., Byington, Carrie L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059387/
https://www.ncbi.nlm.nih.gov/pubmed/30044794
http://dx.doi.org/10.1371/journal.pone.0199388
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author Adler, Frederick R.
Stockmann, Chris
Ampofo, Krow
Pavia, Andrew T.
Byington, Carrie L.
author_facet Adler, Frederick R.
Stockmann, Chris
Ampofo, Krow
Pavia, Andrew T.
Byington, Carrie L.
author_sort Adler, Frederick R.
collection PubMed
description BACKGROUND: Common cold viruses create significant health and financial burdens, and understanding key loci of transmission would help focus control strategies. This study (1) examines factors that influence when individuals transition from a negative to positive test (acquisition) or a positive to negative test (loss) of rhinovirus (HRV) and other respiratory tract viruses in 26 households followed weekly for one year, (2) investigates evidence for intrahousehold and interhousehold transmission and the characteristics of individuals implicated in transmission, and (3) builds data-based simulation models to identify factors that most strongly affect patterns of prevalence. METHODS: We detected HRV, coronavirus, paramyxovirus, influenza and bocavirus with the FilmArray polymerase chain reaction (PCR) platform (BioFire Diagnostics, LLC). We used logistic regression to find covariates affecting acquisition or loss of HRV including demographic characteristics of individuals, their household, their current infection status, and prevalence within their household and across the population. We apply generalized linear mixed models to test robustness of results. RESULTS: Acquisition of HRV was less probable in older individuals and those infected with a coronavirus, and higher with a higher proportion of other household members infected. Loss of HRV is reduced with a higher proportion of other household members infected. Within households, only children and symptomatic individuals show evidence for transmission, while between households only a higher number of infected older children (ages 5-19) increases the probability of acquisition. Coronaviruses, paramyxoviruses and bocavirus also show evidence of intrahousehold transmission. Simulations show that age-dependent susceptibility and transmission have the largest effects on mean HRV prevalence. CONCLUSIONS: Children are most likely to acquire and most likely to transmit HRV both within and between households, with infectiousness concentrated in symptomatic children. Simulations predict that the spread of HRV and other respiratory tract viruses can be reduced but not eliminated by practices within the home.
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spelling pubmed-60593872018-08-06 Transmission of rhinovirus in the Utah BIG-LoVE families: Consequences of age and household structure Adler, Frederick R. Stockmann, Chris Ampofo, Krow Pavia, Andrew T. Byington, Carrie L. PLoS One Research Article BACKGROUND: Common cold viruses create significant health and financial burdens, and understanding key loci of transmission would help focus control strategies. This study (1) examines factors that influence when individuals transition from a negative to positive test (acquisition) or a positive to negative test (loss) of rhinovirus (HRV) and other respiratory tract viruses in 26 households followed weekly for one year, (2) investigates evidence for intrahousehold and interhousehold transmission and the characteristics of individuals implicated in transmission, and (3) builds data-based simulation models to identify factors that most strongly affect patterns of prevalence. METHODS: We detected HRV, coronavirus, paramyxovirus, influenza and bocavirus with the FilmArray polymerase chain reaction (PCR) platform (BioFire Diagnostics, LLC). We used logistic regression to find covariates affecting acquisition or loss of HRV including demographic characteristics of individuals, their household, their current infection status, and prevalence within their household and across the population. We apply generalized linear mixed models to test robustness of results. RESULTS: Acquisition of HRV was less probable in older individuals and those infected with a coronavirus, and higher with a higher proportion of other household members infected. Loss of HRV is reduced with a higher proportion of other household members infected. Within households, only children and symptomatic individuals show evidence for transmission, while between households only a higher number of infected older children (ages 5-19) increases the probability of acquisition. Coronaviruses, paramyxoviruses and bocavirus also show evidence of intrahousehold transmission. Simulations show that age-dependent susceptibility and transmission have the largest effects on mean HRV prevalence. CONCLUSIONS: Children are most likely to acquire and most likely to transmit HRV both within and between households, with infectiousness concentrated in symptomatic children. Simulations predict that the spread of HRV and other respiratory tract viruses can be reduced but not eliminated by practices within the home. Public Library of Science 2018-07-25 /pmc/articles/PMC6059387/ /pubmed/30044794 http://dx.doi.org/10.1371/journal.pone.0199388 Text en © 2018 Adler 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
Adler, Frederick R.
Stockmann, Chris
Ampofo, Krow
Pavia, Andrew T.
Byington, Carrie L.
Transmission of rhinovirus in the Utah BIG-LoVE families: Consequences of age and household structure
title Transmission of rhinovirus in the Utah BIG-LoVE families: Consequences of age and household structure
title_full Transmission of rhinovirus in the Utah BIG-LoVE families: Consequences of age and household structure
title_fullStr Transmission of rhinovirus in the Utah BIG-LoVE families: Consequences of age and household structure
title_full_unstemmed Transmission of rhinovirus in the Utah BIG-LoVE families: Consequences of age and household structure
title_short Transmission of rhinovirus in the Utah BIG-LoVE families: Consequences of age and household structure
title_sort transmission of rhinovirus in the utah big-love families: consequences of age and household structure
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059387/
https://www.ncbi.nlm.nih.gov/pubmed/30044794
http://dx.doi.org/10.1371/journal.pone.0199388
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