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Respiratory syncytial virus (RSV) is responsible for a significant burden of severe acute lower respiratory tract illness in children under 5 years old; particularly infants. Prior to rolling out any vaccination program, identification of the source of infant infections could further guide vaccination strategies. We extended a dynamic model calibrated at the individual host level initially fit to social-temporal data on shedding patterns to include whole genome sequencing data available at a lower sampling intensity. The study population was 493 individuals (55 aged 

Original publication

DOI

10.1038/s41598-021-81078-x

Type

Journal article

Journal

Scientific reports

Publication Date

01/2021

Volume

11

Addresses

KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographical Medical Research-Coast, P.O. Box 230-80108, Kilifi, Kenya. ivkadzo@gmail.com.

Keywords

Humans, Respiratory Syncytial Viruses, Respiratory Syncytial Virus, Human, Respiratory Syncytial Virus Infections, Bayes Theorem, Stochastic Processes, Family Characteristics, Models, Theoretical, Adolescent, Child, Child, Preschool, Infant, Infant, Newborn, Kenya, Female, Male