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Quantification and determinants of the amount of respiratory syncytial virus (RSV) shed using real time PCR data from a longitudinal household study
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Wathuo, Miriam, Medley, Graham, Nokes, D. James and Munywoki, Patrick K. (2017) Quantification and determinants of the amount of respiratory syncytial virus (RSV) shed using real time PCR data from a longitudinal household study. Wellcome Open Research, 1 . 27. doi:10.12688/wellcomeopenres.10284.2
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WRAP-quantification-determinants-respiratory-syncytial-Nokes-2016.pdf - Submitted Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (2832Kb) | Preview |
Official URL: http://dx.doi.org/10.12688/wellcomeopenres.10284.2
Abstract
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.
| Item Type: | Submitted Journal Article | ||||||
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| Subjects: | R Medicine > RC Internal medicine | ||||||
| Divisions: | Faculty of Science > Life Sciences (2010- ) | ||||||
| Library of Congress Subject Headings (LCSH): | Respiratory syncytial virus -- Kenya, Respiratory syncytial virus -- Transmission, Infection -- Prevention | ||||||
| Journal or Publication Title: | Wellcome Open Research | ||||||
| Publisher: | F1000Research | ||||||
| ISSN: | 2398-502X | ||||||
| Official Date: | 17 March 2017 | ||||||
| Dates: |
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| Volume: | 1 | ||||||
| Article Number: | 27 | ||||||
| DOI: | 10.12688/wellcomeopenres.10284.2 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access | ||||||
| Funder: | Wellcome Trust (London, England) | ||||||
| Grant number: | 102975 (WT), 090853 (WT) |
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