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An Improved and High Throughput Respiratory Syncytial Virus RSV Micro-neutralization Assay
Published on: January 26, 2019
The influence of age-dependent susceptibility on RSV transmission dynamics and immunisation population-level impact
Chenkai Zhao1, Yuhe Zhang2, Richard Osei-Yeboah3
1Department of Epidemiology, National Vaccine Innovation Platform, School of Public Health, Nanjing Medical University, Nanjing, China.
Insights
Young children under 5 are most susceptible to respiratory syncytial virus (RSV) infections, driving disease burden. Understanding this susceptibility is key for effective RSV immunisation strategies.
Area of Science:
- Epidemiology
- Infectious Disease Modeling
- Public Health
Background:
- Respiratory syncytial virus (RSV) poses a significant global health challenge, particularly for infants and young children.
- Age-related variations in susceptibility, contact patterns, and disease progression contribute to the uneven burden of RSV, but the precise role of susceptibility remains unclear.
Purpose of the Study:
- To quantify age-dependent susceptibility to respiratory syncytial virus (RSV) infections.
- To model the impact of RSV transmission dynamics and age structure on disease burden.
- To evaluate the effectiveness of different paediatric immunisation strategies against RSV.
Main Methods:
- Developed an age-structured deterministic transmission model incorporating UK virological surveillance, hospitalisation, and infection rate data.
- Estimated age-specific susceptibility coefficients using Markov Chain Monte Carlo (MCMC) calibration.
- Calculated age-specific infection-hospitalisation ratios (IHRs) and evaluated paediatric immunisation scenarios.
Main Results:
- Children under 5 years old exhibited the highest susceptibility to RSV infections.
- Annual infection rates peaked in infants aged 0-23 months, with highest infection-hospitalisation ratios in infants (0-2 months) and older adults (≥75 years).
- Infant immunisation programmes showed significant potential to prevent RSV hospitalisations, with broader vaccination of 0-4 year olds yielding greater reductions.
Conclusions:
- Increased RSV susceptibility in young children is a primary driver of transmission and disease burden.
- This heightened susceptibility significantly influences the projected impact and efficiency of immunisation programmes.
- Targeted immunisation strategies, particularly in infants, are crucial for mitigating RSV burden.
Background:
Respiratory syncytial virus (RSV) causes substantial disease burden worldwide, disproportionately affecting infants and young children. Higher susceptibility to RSV infections in young children, interacting with age-varying contact patterns and risk of disease progression, could drive the age-related variations in disease burden, though the extent of the susceptibility differences, and their influence on transmission dynamics and immunisation impact remains unclear.
Methods:
We developed an age-structured deterministic transmission model that integrated virological surveillance data, hospitalisations, and infection rates from the UK. We estimated age-dependent susceptibility coefficients for the 0- < 5 years, 5-59 year and ≥ 60 years by integrating a profile likelihood approach with Markov Chain Monte Carlo (MCMC)-based calibration. Models were fitted to weekly RSV-positive cases in Scotland and infection rate estimates for the UK population. Age-specific infection-hospitalisation ratios (IHRs) were derived by combining modelled infections with RSV-associated hospitalisations. We evaluated multiple paediatric immunisation scenarios by estimating infections and hospitalisations averted, and the number of individuals needed to immunise (NNI) to prevent one RSV hospitalisation at varying coverage and efficacy.
Results:
We estimated a susceptibility coefficient of 0.38 (95% CI 0.36-0.38) for 5-59 years, and 0.38 (0.20-0.40) for ≥ 60 years, relative to those under 5 years. The overall annual infection rate was 51.8%, with peaked in children aged 12-23 months (71.1%) and 0-2 months (63.7%) using the best-fitting model, showing a substantial shift in the age distribution compared to the base model. IHRs showed a U-shaped distribution, with the highest rates in infants aged 0-2 months and adults aged 75 and above. This model also projected a greater impact from immunisation programmes compared to the base model. For instance, an infant immunisation programme with 80% coverage and 80% efficacy against hospitalisation was projected to prevent 15.2% of hospitalisations, compared to 8.9% in the base model. Broader programmes, such as targeting 0-4-year-olds, resulted in larger reductions in hospitalisations (27.1%), while NNI increased as the programme expanded.
Conclusions:
The increased RSV susceptibility in children under 5 years drives higher baseline transmission rates and disease burden in this subgroup, thereby influencing immunisation programme impact and efficiency.
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