Quantification and determinants of the amount of respiratory syncytial virus (RSV) shed using real time PCR data from a longitudinal household study [version 1; referees: 2 approved, 1 approved with reservations]

Background A better understanding of respiratory syncytial virus (RSV) epidemiology requires realistic estimates of RSV shedding patterns, quantities shed, and identification of the related underlying factors. Methods RSV infection data arise from a cohort study of 47 households with 493 occupants,...

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Main Authors: Miriam Wathuo, Graham F. Medley, D. James Nokes, Patrick K. Munywoki
Format: Article
Language:English
Published: Wellcome 2016-12-01
Series:Wellcome Open Research
Subjects:
Online Access:https://wellcomeopenresearch.org/articles/1-27/v1
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author Miriam Wathuo
Graham F. Medley
D. James Nokes
Patrick K. Munywoki
author_facet Miriam Wathuo
Graham F. Medley
D. James Nokes
Patrick K. Munywoki
author_sort Miriam Wathuo
collection DOAJ
description Background A better understanding of respiratory syncytial virus (RSV) epidemiology requires realistic estimates of RSV shedding patterns, quantities shed, and identification of the related underlying factors. Methods RSV infection data arise from a cohort study of 47 households with 493 occupants, in coastal Kenya, during the 2009/2010 RSV season. Nasopharyngeal swabs were taken every 3 to 4 days and screened for RSV using a real time polymerase chain reaction (PCR) assay. The amount of virus shed was quantified by calculating the ‘area under the curve’ using the trapezoidal rule applied to rescaled PCR cycle threshold output. Multivariable linear regression was used to identify correlates of amount of virus shed. Results The median quantity of virus shed per infection episode was 29.4 (95% CI: 15.2, 54.2) log10 ribonucleic acid (RNA) copies. Young age (<1 year), presence of upper respiratory symptoms, intra-household acquisition of infection, an individual’s first infection episode in the RSV season, and having a co-infection of RSV group A and B were associated with increased amount of virus shed. Conclusions The findings provide insight into which groups of individuals have higher potential for transmission, information which may be useful in designing RSV prevention strategies.
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spelling doaj.art-cf9a87741d0f482294b3ede0d62e40682022-12-22T01:48:04ZengWellcomeWellcome Open Research2398-502X2016-12-01110.12688/wellcomeopenres.10284.111076Quantification and determinants of the amount of respiratory syncytial virus (RSV) shed using real time PCR data from a longitudinal household study [version 1; referees: 2 approved, 1 approved with reservations]Miriam Wathuo0Graham F. Medley1D. James Nokes2Patrick K. Munywoki3KEMRI - Wellcome Trust Research Programme, Centre for Geographic Medicine Research – Coast, Kilifi, KenyaDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UKSchool of Life Sciences and SBIDER, University of Warwick, Coventry, UKDepartment of Nursing Sciences, Pwani University, Kilifi, KenyaBackground A better understanding of respiratory syncytial virus (RSV) epidemiology requires realistic estimates of RSV shedding patterns, quantities shed, and identification of the related underlying factors. Methods RSV infection data arise from a cohort study of 47 households with 493 occupants, in coastal Kenya, during the 2009/2010 RSV season. Nasopharyngeal swabs were taken every 3 to 4 days and screened for RSV using a real time polymerase chain reaction (PCR) assay. The amount of virus shed was quantified by calculating the ‘area under the curve’ using the trapezoidal rule applied to rescaled PCR cycle threshold output. Multivariable linear regression was used to identify correlates of amount of virus shed. Results The median quantity of virus shed per infection episode was 29.4 (95% CI: 15.2, 54.2) log10 ribonucleic acid (RNA) copies. Young age (<1 year), presence of upper respiratory symptoms, intra-household acquisition of infection, an individual’s first infection episode in the RSV season, and having a co-infection of RSV group A and B were associated with increased amount of virus shed. Conclusions The findings provide insight into which groups of individuals have higher potential for transmission, information which may be useful in designing RSV prevention strategies.https://wellcomeopenresearch.org/articles/1-27/v1Respiratory Infections
spellingShingle Miriam Wathuo
Graham F. Medley
D. James Nokes
Patrick K. Munywoki
Quantification and determinants of the amount of respiratory syncytial virus (RSV) shed using real time PCR data from a longitudinal household study [version 1; referees: 2 approved, 1 approved with reservations]
Wellcome Open Research
Respiratory Infections
title Quantification and determinants of the amount of respiratory syncytial virus (RSV) shed using real time PCR data from a longitudinal household study [version 1; referees: 2 approved, 1 approved with reservations]
title_full Quantification and determinants of the amount of respiratory syncytial virus (RSV) shed using real time PCR data from a longitudinal household study [version 1; referees: 2 approved, 1 approved with reservations]
title_fullStr Quantification and determinants of the amount of respiratory syncytial virus (RSV) shed using real time PCR data from a longitudinal household study [version 1; referees: 2 approved, 1 approved with reservations]
title_full_unstemmed Quantification and determinants of the amount of respiratory syncytial virus (RSV) shed using real time PCR data from a longitudinal household study [version 1; referees: 2 approved, 1 approved with reservations]
title_short Quantification and determinants of the amount of respiratory syncytial virus (RSV) shed using real time PCR data from a longitudinal household study [version 1; referees: 2 approved, 1 approved with reservations]
title_sort quantification and determinants of the amount of respiratory syncytial virus rsv shed using real time pcr data from a longitudinal household study version 1 referees 2 approved 1 approved with reservations
topic Respiratory Infections
url https://wellcomeopenresearch.org/articles/1-27/v1
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