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An Improved and High Throughput Respiratory Syncytial Virus RSV Micro-neutralization Assay
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Respiratory Syncytial Virus-Associated Hospital Admissions in Children Younger Than 5 Years in 7 European Countries
Rachel M Reeves1, Maarten van Wijhe2, Sabine Tong3
1Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom.
The Journal of Infectious Diseases
|August 21, 2020
Summary
Respiratory syncytial virus (RSV) significantly impacts young children, causing many respiratory tract infections. Hospital data reveals RSV burden is highest in infants under one year, peaking at one month old.
Area of Science:
- Pediatric Infectious Diseases
- Epidemiology
- Public Health
Background:
- Respiratory syncytial virus (RSV) is a primary cause of respiratory tract infections (RTIs) in young children.
- Disease registries offer valuable insights into RSV epidemiology and disease burden.
Purpose of the Study:
- To analyze and compare RSV-associated hospital admission rates, age distribution, seasonality, and time trends in children under 5 years across seven European countries.
- To evaluate the utility of routinely collected hospital data for understanding RSV burden.
Main Methods:
- Utilized linked, routinely collected hospital data for children under 5 years old from seven European nations.
- Compared RSV-associated admission rates, age demographics, seasonality, and temporal trends between participating countries.
Main Results:
- RSV hospital admissions showed similar age distributions across countries, with the highest burden in children under 1 year, peaking at 1 month.
- Annual rates of RTI admissions ranged from 41.3-112.0 per 1000 for children under 1 year and 8.6-22.3 per 1000 for children aged 1-4 years.
- RSV accounted for 57%-72% of RTI admissions with a specified pathogen in children under 5, and 62%-87% in infants under 1 year.
Conclusions:
- Linked routinely collected data effectively demonstrates the benefits and limitations in studying RSV epidemiology and burden.
- Future research will employ time-series modeling with this data to estimate RSV burden, informing immunization strategies and vaccine impact monitoring.
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