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Table · dataset · 2017

Data for Spread and evolution of respiratory syncytial virus A genotype ON1, coastal Kenya, 2010–2015

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In February 2012, the novel respiratory syncytial virus (RSV) group A, genotype ON1, was detected in Kilifi County, coastal Kenya.

Description

ON1 is characterized by a 72-nt duplication within the highly variable G gene (encoding the immunogenic attachment surface protein). Cases were diagnosed through surveillance of pneumonia in children at the county hospital.

Analysis of epidemiologic, clinical, and sequence data of RSV-A viruses detected over 5 RSV seasons (2010/2011 to 2014/2015) indicated the following: 1) replacement of previously circulating genotype GA2 by ON1, 2) an abrupt expansion in the number of ON1 variants detected in the 2014/2015 epidemic, 3) recent accumulation of amino acid substitutions within the ON1 duplicated sequence, and 4) no clear evidence of altered pathogenicity relative to GA2.

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The study demonstrates the public health importance of molecular surveillance in defining the spread, clinical effects, and evolution of novel respiratory virus variants.<br><br>Data record consists of 3 plain text files, one Stata file, one PDF and the tabular data. The data is from an on-going study aimed at understanding the epidemiology and disease burden of RSV-associated pneumonia cases in Kilifi. This study was specifically interested in the introduction, spread and evolution of the novel RSV-A genotype ON1 in Kilifi.

Respiratory swab samples (combined nasopharyngeal and oropharyngeal) were collected from September 2010 through August 2015 from children ages 1 day to <5 years admitted to Kilifi County Hospital (KCH) with syndromically defined severe or very severe pneumonia, screened for RSV and G-gene sequenced (RSV positives) using the Sanger method. Also included is are two global comparison sequence datasets used in the analyses: (1) RSV-A genotype ON1 contemporenous sequence dataset, and (2) RSV-B genotype BA sequences collected between 1998 and 2006.

Access to data is restricted and requires a Harvard Dataverse account. Data is also available through GenBank.

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Disease 75% · Tabular 75% · Text 75%
Provenance · 1 source records, 19 field assertions
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