Spectral Density Regression for Bivariate Extremes

We introduce a density regression model for the spectral density of a bivariate extreme value distribution, that allows us to assess how extremal dependence can change over a covariate. Inference is performed through a double kernel estimator, which can be seen as an extension of the Nadaraya–Watson estimator where the usual scalar responses are replaced by mean constrained densities on the unit interval. Numerical experiments with the methods illustrate their resilience in a variety of contexts of practical interest. An extreme temperature dataset is used to illustrate our methods

Community-Based Diabetes-Screening of a Low English Literacy Population of Minority-Predominant Immigrants and Refugees

Citation information only is avaliable. Winona State University, Rochester, Minnesot

Who is getting boosted? Disparities in COVID-19 vaccine booster uptake among health care workers

COVID-19 vaccination remains one of the most effective tools to reduce the risk of SARS-CoV-2 infection. Unfortunately, vaccine hesitancy has limited primary vaccination and booster uptake among the general population and HCWs. To gain a better understanding of factors associated with booster vaccine uptake, we analyzed COVID-19 vaccine booster rates among HCWs and identified risk factors associated with nonacceptance.Of the 62,387 HCWs included in our analysis, the overall booster uptake rate was 64.8%. Older age, Non-Hispanic White racial group, early initial vaccine uptake and longer duration of employment were associated with higher booster uptake. Significant differences were observed between different job categories.This persistence of vaccine hesitancy and disparities in COVID-19 booster uptake among HCWs, almost 2 years after the rollout of the COVID-19 vaccination, call for further efforts to increase vaccine confidence among HCWs and the general population in light of the continued need for further COVID-19 protection