Within-host bayesian joint modeling of longitudinal and time-to-event data of Leishmania infection.

ABSTRACT: The host immune system plays a significant role in managing and clearing pathogen material during an infection, but this complex process presents numerous challenges from a modeling perspective. There are many mathematical and statistical models for these kinds of processes that take into account a wide range of events that happen within the host. In this work, we present a Bayesian joint model of longitudinal and time-to-event data of Leishmania infection that considers the interplay between key drivers of the disease process: pathogen load, antibody level, and disease. The longitudinal model also considers approximate inflammatory and regulatory immune factors. In addition to measuring antibody levels produced by the immune system, we adapt data from CD4+ and CD8+ T cell proliferation, a

SUBMITTER: Pabon-Rodriguez FM 

PROVIDER: S-EPMC10857584 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature