This app allows users to explore the distribution of predicted K and O serotypes for Klebsiella pneumoniae isolated from neonatal sepsis cases in 13 studies across countries in Africa and Southern Asia, reported in the paper Stanton et al, 2025.
The functionality is geared towards exploring sets of K/O antigens, in terms of their prevalence and distribution across geographical regions and theoretical coverage of infection isolates, to inform vaccine design.
Prevalence estimates are adjusted for localised nosocomial clustering, to reduce the bias introduced by random outbreaks during surveillance periods. Coverage estimates are based on total isolates, not adjusted for clustering.
The Modelled antigen prevalence tab is populated with pre-calculated global and regional prevalence estimates modelled using Bayesian hierarchical meta-analysis, as described in the paper. Subgroup analyses are limited to those modelled and reported in the paper (geographic regions, fatal cases, ESBL- or carbapenemase- carrying isolates).
The Dynamic antigen prevalence tab is populated with simple pooled estimates calculated on the fly, allowing users to interactively explore prevalence and coverage more flexibly by country, study, year, and multi-locus sequence type (ST).
Full Resource: https://klebsiella.shinyapps.io/neonatal/
