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An In vitro Model to Study Immune Responses of Human Peripheral Blood Mononuclear Cells to Human Respiratory Syncytial Virus Infection
Published on: December 10, 2013
Integrating epidemiological and genetic data with different sampling intensities into a dynamic model of respiratory
Ivy K Kombe1, Charles N Agoti2, Patrick K Munywoki2
1KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographical Medical Research-Coast, P.O. Box 230-80108, Kilifi, Kenya. ivkadzo@gmail.com.
Insights
Respiratory syncytial virus (RSV) infections in infants often originate within the household. Pre-school and school-aged children are key transmitters, highlighting their potential role in RSV vaccination strategies.
Area of Science:
- Epidemiology
- Virology
- Genomics
Background:
- Respiratory syncytial virus (RSV) causes severe respiratory illness in young children, especially infants.
- Understanding infant RSV infection sources is crucial for effective vaccination strategies.
Purpose of the Study:
- To identify the sources of infant respiratory syncytial virus (RSV) infections within households.
- To guide vaccination strategies by analyzing transmission dynamics using genomic data.
Main Methods:
- Extended a dynamic host-level model with whole genome sequencing data.
- Analyzed data from 493 individuals across 47 households during one RSV season in coastal Kenya.
- Combined social-temporal shedding data with genomic data for transmission analysis.
Main Results:
- Over half of RSV-A and RSV-B cases originated within households.
- 45% of infant infections resulted from transmission by other household members.
- Children aged 2-13 years were responsible for 68% of infant transmissions within households.
Conclusions:
- Household transmission is a significant source of infant RSV infections.
- Pre-school and school-aged children play a critical role in transmitting RSV to infants.
- These age groups represent a potential target population for RSV vaccination programs.
Abstract:
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 < 1 year) distributed across 47 households, observed through one RSV season in coastal Kenya. We found that 58/97 (60%) of RSV-A and 65/125 (52%) of RSV-B cases arose from infection probably occurring within the household. Nineteen (45%) infant infections appeared to be the result of infection by other household members, of which 13 (68%) were a result of transmission from a household co-occupant aged between 2 and 13 years. The applicability of genomic data in studies of transmission dynamics is highly context specific; influenced by the question, data collection protocols and pathogen under investigation. The results further highlight the importance of pre-school and school-aged children in RSV transmission, particularly the role they play in directly infecting the household infant. These age groups are a potential RSV vaccination target group.
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