Estimation of country-level incidence of early-onset invasive Group B Streptococcus disease in infants using Bayesian methods.
Ontology highlight
ABSTRACT: Neonatal invasive disease caused by Group B Streptococcus (GBS) is responsible for much acute mortality and long-term morbidity. To guide development of better prevention strategies, including maternal vaccines that protect neonates against GBS, it is necessary to estimate the burden of this condition globally and in different regions. Here, we present a Bayesian model that estimates country-specific invasive GBS (iGBS) disease incidence in children aged 0 to 6 days. The model combines different types of epidemiological data, each of which has its own limitations: GBS colonization prevalence in pregnant women, risk of iGBS disease in children born to GBS-colonized mothers and direct estimates of iGBS disease incidence where available. In our analysis, we present country-specific maternal G
SUBMITTER: Goncalves BP
PROVIDER: S-EPMC8202927 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature
ACCESS DATA