Replication dataset for: Model-based estimates of transmission of respiratory syncytial virus within households

Kombe, IK, Munywoki, PK, Baguelin, M, Nokes, DJ and Medley, GF. 2018. Replication dataset for: Model-based estimates of transmission of respiratory syncytial virus within households. [Online]. Harvard Dataverse. Available from: https://doi.org/10.7910/DVN/BPSZZS

Kombe, IK, Munywoki, PK, Baguelin, M, Nokes, DJ and Medley, GF. Replication dataset for: Model-based estimates of transmission of respiratory syncytial virus within households [Internet]. Harvard Dataverse; 2018. Available from: https://doi.org/10.7910/DVN/BPSZZS

Kombe, IK, Munywoki, PK, Baguelin, M, Nokes, DJ and Medley, GF (2018). Replication dataset for: Model-based estimates of transmission of respiratory syncytial virus within households. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/BPSZZS

Description

The main data include respiratory syncytial virus (RSV) concentration measured by quantitative PCR from nasopharyngeal swab samples collected from children and adults during a longitudinal study of viral transmission among households in rural Kenya. The parent study has been described elsewhere, but in brief, swabs were collected twice weekly from all members of 47 households in Kilifi County, Kenya during the RSV season from December 2009 until June 2010. Information on viral quantity along with participant demographics such as age were used in an analysis to determine factors influencing transmission. In addition, there is data on the results of RSV antigen testing conducted at the Kilifi County Hospital during the same time period as the household study. These data are for children <5 years of age

Methods

Data capture method	Unknown
Date (Published in a 3rd party system)	17 October 2018
Language(s) of written materials	English

People & Groups

Data Creators	Kombe, IK, Munywoki, PK, Baguelin, M, Nokes, DJ and Medley, GF
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, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya