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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




Journal article


Scientific reports

Publication Date





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


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