; Cane, PA; Kellam, P; Cotten, M and Nokes, DJ
(2019).
Replication Data for: Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant.
[Dataset].
Harvard Dataverse.
https://doi.org/10.7910/DVN/DUCQWE
This dataset contains whole genomic sequences (WGS) obtained from participants enrolled in a household study undertaken within Kilifi County, located in coastal Kenya. In the study, 47 households (HH) scattered across an area of approximately 21 km2 were followed up over a 6-month period beginning December 2009 and ending June 2010 coinciding with the RSV peak activity months in the area. Twice weekly throughout the study period, a nasopharyngeal-flocked swab (NPS) was obtained from each household member regardless of symptom status. The NPS samples were screened for a range of respiratory viral targets using a multiplex real-time RT-PCR method which subtyped RSV positives into RSVA and RSVB.
The whole genome sequencing (WGS) present in this dataset targeted 20 select households that documented RSV infection of ≥2 members.
Keywords
Whole genomic sequences| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Unknown |
| Date | 6 June 2019 |
| Language(s) of written materials | English |
| Creator(s) |
Agoti, CN; Plan, MVT; Munywoki, PK; Githinji, G; Medley, GF; Cane, PA; Kellam, P; Cotten, M and Nokes, DJ
|
| LSHTM Faculty/Department | Faculty of Public Health and Policy > Dept of Global Health and Development |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 09 Oct 2019 15:20 |
| Last Modified | 08 Jan 2026 15:28 |
| Publisher | Harvard Dataverse |
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