Ontology highlight
ABSTRACT: Motivation
Seroincidence-the rate of new infections in a population-is a key measure for understanding pathogen transmission dynamics and informing public health action. Estimating seroincidence from cross-sectional data is complicated by antibody waning, cross-reactivity, and individual heterogeneity in antibody responses.Implementation
serocalculator is an open-source R package that uses a likelihood-based framework incorporating antibody decay models, biological variability, and measurement noise to estimate seroincidence rates from cross-sectional serological data.General features
The package supports overall and stratified seroincidence estimation using single or multiple biomarkers. It requires three inputs: (1) a pre-estimated seroresponse model charac
SUBMITTER: Lai KW
PROVIDER: S-EPMC12155044 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature