Replication Data for: Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant

Agoti, CN, Plan, MVT, Munywoki, PK, Githinji, G, Medley, GF, 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. [Online]. Harvard Dataverse. Available from: https://doi.org/10.7910/DVN/DUCQWE

Agoti, CN, Plan, MVT, Munywoki, PK, Githinji, G, Medley, GF, Cane, PA, Kellam, P, Cotten, M and Nokes, DJ. Replication Data for: Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant [Internet]. Harvard Dataverse; 2019. Available from: https://doi.org/10.7910/DVN/DUCQWE

Agoti, CN, Plan, MVT, Munywoki, PK, Githinji, G, Medley, GF, 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. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/DUCQWE

Description

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.

Methods

Data capture method	Unknown
Date (Published in a 3rd party system)	6 June 2019
Language(s) of written materials	English

People & Groups

Data Creators	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