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Human rhinovirus spatial-temporal epidemiology in rural coastal Kenya, 2015-2016, observed through outpatient surveillance
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Morobe, John Mwita, Nyiro, Joyce, Brand, Samuel, Kamau, Everlyn, Gicheru, Elijah, Eyase, Fredrick, Otieno, Grieven, Munywoki, Patrick, Agoti, Charles and Nokes, D. James (2018) Human rhinovirus spatial-temporal epidemiology in rural coastal Kenya, 2015-2016, observed through outpatient surveillance. Wellcome Open Research, 3 . 128. doi:10.12688/wellcomeopenres.14836.1 ISSN 2398-502X.
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WRAP-Human-rhinovirus-spatial-epidemiology-Kenya-surveillance-Nokes-2018.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (685Kb) | Preview |
Official URL: http://dx.doi.org/10.12688/wellcomeopenres.14836.1
Abstract
Background
Human rhinovirus (HRV) is the predominant cause of upper respiratory tract infections, resulting in a significant public health burden. The virus circulates as many different types (~160), each generating strong homologous, but weak heterotypic, immunity. The influence of these features on transmission patterns of HRV in the community is understudied.
Methods
Nasopharyngeal swabs were collected from patients with symptoms of acute respiratory infection (ARI) at nine out-patient facilities across a Health and Demographic Surveillance System between December 2015 and November 2016. HRV was diagnosed by real-time RT-PCR, and the VP4/VP2 genomic region of the positive samples sequenced. Phylogenetic analysis was used to determine the HRV types. Classification models and G-test statistic were used to investigate HRV type spatial distribution. Demographic characteristics and clinical features of ARI were also compared.
Results
Of 5,744 NPS samples collected, HRV was detected in 1057 (18.4%), of which 817 (77.3%) were successfully sequenced. HRV species A, B and C were identified in 360 (44.1%), 67 (8.2%) and 390 (47.7%) samples, respectively. In total, 87 types were determined: 39, 10 and 38 occurred within species A, B and C, respectively. HRV types presented heterogeneous temporal patterns of persistence. Spatially, identical types occurred over a wide distance at similar times, but there was statistically significant evidence for clustering of types between health facilities in close proximity or linked by major road networks.
Conclusion
This study records a high prevalence of HRV in out-patient presentations exhibiting high type diversity. Patterns of occurrence suggest frequent and independent community invasion of different types. Temporal differences of persistence between types may reflect variation in type-specific population immunity. Spatial patterns suggest either rapid spread or multiple invasions of the same type, but evidence of similar types amongst close health facilities, or along road systems, indicate type partitioning structured by local spread.
Item Type: | Journal Article | |||||||||
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Subjects: | Q Science > QR Microbiology > QR355 Virology | |||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | |||||||||
Library of Congress Subject Headings (LCSH): | Rhinoviruses -- Epidemiology -- Kenya, Respiratory infections -- Kenya, Rural health -- Kenya | |||||||||
Journal or Publication Title: | Wellcome Open Research | |||||||||
Publisher: | F1000Research | |||||||||
ISSN: | 2398-502X | |||||||||
Official Date: | 1 October 2018 | |||||||||
Dates: |
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Volume: | 3 | |||||||||
Article Number: | 128 | |||||||||
DOI: | 10.12688/wellcomeopenres.14836.1 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||
Date of first compliant deposit: | 13 November 2018 | |||||||||
Date of first compliant Open Access: | 13 November 2018 | |||||||||
RIOXX Funder/Project Grant: |
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