The immune response to a Coxiella burnetii vaccine in sheep varies according to their natural pre-exposure.

Q fever in humans is caused by Coxiella (C.) burnetii. In 2008 and 2012, cases of Q fever in humans were linked to an infected flock of approximately 650 ewes.

Safety analysis of new medications in clinical trials: a simulation study to assess the differences between cause-specific and subdistribution frameworks in the presence of competing events.

Safety is an essential part of the evaluation of new medications and competing risks that occur in most clinical trials are a well identified challenge in the analysis of adverse events. Two statistical frameworks exist to consider competing risks: the cause-specific and the subdistribution framework. To date, the application of the cause-specific framework is the standard practice in safety analyses.

Long-term control of Coxiellosis in sheep by annual primary vaccination of gimmers.

Coxiella (C.) burnetii, a Gram-negative intracellular bacterium, causes Q fever in humans and Coxiellosis in animals. Ruminants are a primary source of human infection with C.

Prostate cancer in PI-RADS scores 1 and 2 version 2.1: a comparison to previous PI-RADS versions.

Purpose: To evaluate the validity of PI-RADS categories 1 and 2 version 2.1 (V2.1) as predictors of the absence of carcinoma and to reevaluate lesions that were analysed as suspicious prior to PI-RADS or according to PI-RADS versions 1 and 2 and classified as PI-RADS 1 or 2 in V2.

Crisis-driven innovation and fundamental human needs: A typological framework of rapid-response COVID-19 innovations.

As a microcosm for future challenges, the COVID-19 pandemic exhibits increasingly transboundary dynamics, causing interconnected problems across multiple societal systems. To examine the role of innovations as a social mechanism to reconcile these arising challenges, we view the unfolding of the pandemic through the lens of a content analysis of 707 innovation projects that address the fundamental human needs of consumers and businesses. This study proposes a novel procedure to characterize large-scale innovative activities via text mining and employs a theoretical framework for identifying the pressing societal needs amidst crises.