AI Article Synopsis
- Respiratory syncytial virus (RSV) causes significant health issues in infants worldwide, leading to many hospitalizations.
- A statistical model used pre-pandemic testing and admission data to predict RSV-hospitalization rates in infants under 1 year, revealing high incidence rates especially in infants under 6 months.
- The study found seasonal trends in RSV-hospitalizations, with the highest rates for infants born in April/May and variations based on gestational age, emphasizing the need for accurate data in vulnerable populations for prevention efforts.
Article Abstract
Respiratory syncytial virus contributes to significant global infant morbidity and mortality. We applied a previously developed statistical prediction model incorporating pre-pandemic RSV testing data and hospital admission data to estimate infant RSV-hospitalizations by birth month and prematurity, focused on infants aged <1 year. The overall predicted RSV-hospitalization incidence rates in infants <6 months were 32.7/1,000 child-years (95 % CI: 31.8, 33.5) and 3.1/1,000 child-years (95 % CI: 3.0, 3.1) in infants aged 6-<12 months. Predicted RSV-hospitalization rates for infants aged <6 months were highest for infants born in April/May. Predicted rates for preterm infants born 29-32 weeks gestation were highest in March-May, whereas infants born >33 weeks had peak RSV-hospitalization rates from May-June, similar to late preterm or term births. RSV-hospitalization rates in the pre-pandemic era were highly seasonal, and seasonality varied with degree of prematurity. Accurate estimates of RSV-hospitalization in high-risk sub-groups are essential to understand preventable burden of RSV especially given the current prevention landscape.
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| http://dx.doi.org/10.1016/j.vaccine.2023.07.014 | DOI Listing |
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