OBJECTIVE This study aims to investigate the characters of pregnant women and neonates with listeria monocytogenes infections (L. monocytogenes) in Shandong of China. METHOD Pregnant women with premature delivery or prenatal fever were recruited in 2013. Bacterial culture was performed for the umbilical cord blood and placental swab after delivery. The strains isolated were then analyzed for ...

Bayesian analysis of time-to-event data, usually called survival analysis, has received increasing attention in the last years. In Cox-type models it allows to use information from the full likelihood instead of from a partial likelihood, so that the baseline hazard function and the model parameters can be jointly estimated. In general, Bayesian methods permit a full and exact posterior inferen...

Most quantile regression problems in practice require flexible semiparametric forms of the predictor for modeling the dependence of responses on covariates. Furthermore, it is often necessary to add random effects accounting for overdispersion caused by unobserved heterogeneity or for correlation in longitudinal data. We present a unified approach for Bayesian quantile inference via Markov chai...

During last years, public health surveillance has been facilitated by the existence of several packages implementing statistical methods for the analysis of spatial and spatio-temporal disease data. However, these methods are still inaccesible for many researchers lacking the adequate programming skills to effectively use the required software. In this paper we present SpatialEpiApp, a Shiny we...

Ebola virus (EBV) disease is a globally acknowledged public health emergency, endemic in the west and equatorial Africa. To understand epidemiology especially dynamic pattern of EBV disease, we analyse case notification data for confirmed cases reported deaths ongoing outbreak Democratic Republic Congo (DRC) between 2018 2019, examined impact violence on spread virus. Using fully Bayesian geo-s...