UK Biobank (UKB) is an international health resource enabling research into the genetic and lifestyle determinants of common diseases of middle and older age. It comprises 500 000 participants. Public Health England’s Second Generation Surveillance System is a centralized microbiology database covering English clinical diagnostics laboratories that provides national surveillance of legally notifiable infections, bacterial isolations and antimicrobial resistance. We previously developed secure, pseudonymized, individual-level linkage of these systems. In this study, we implemented rapid dynamic linkage, which allows us to provide a regular feed of new COVID-19 (SARS-CoV-2) test results to UKB to facilitate rapid and urgent research into the epidemiological and human genetic risk factors for severe infection in the cohort. Here, we have characterized the first 1352 cases of COVID-19 in UKB participants, of whom 895 met our working definition of severe COVID-19 as inpatients hospitalized on or after 16 March 2020. We found that the incidence of severe COVID-19 among UKB cases was 27.4 % lower than the general population in England, although this difference varied significantly by age and sex. The total number of UKB cases could be estimated as 0.6 % of the publicly announced number of cases in England. We considered how increasing case numbers will affect the power of genome-wide association studies. This new dynamic linkage system has further potential to facilitate the investigation of other infections and the prospective collection of microbiological cultures to create a microbiological biobank (bugbank) for studying the interaction of environment, human and microbial genetics on infection in the UKB cohort.

The results of two experiments supported the hypothesis that, for sexist men, exposure to sexist humor can promote the behavioral release of prejudice against women. Experiment 1 demonstrated that hostile sexism predicted the amount of money participants were willing to donate to a women's organization after reading sexist jokes but not after reading nonhumorous sexist statements or neutral jokes. Experiment 2 showed that hostile sexism predicted the amount of money participants cut from the budget of a women's organization relative to four other student organizations upon exposure to sexist comedy skits but not neutral comedy skits. A perceived local norm of approval of funding cuts for the women's organization mediated the relationship between hostile sexism and discrimination against the women's organization.

Data availabilitySummary statistics generated by COVID-19 Host Genetics Initiative are available online (https://www.covid19hg.org/results/r6/). The analyses described here use the freeze 6 data. The COVID-19 Host Genetics Initiative continues to regularly release new data freezes. Summary statistics for samples from individuals of non-European ancestry are not currently available owing to the small individual sample sizes of these groups, but the results for 23 loci lead variants are reported in Supplementary Table 3. Individual-level data can be requested directly from the authors of the contributing studies, listed in Supplementary Table 1.

An experiment tested the hypothesis that exposure to humorous material prior to taking a difficult math test can inhibit the amount of anxiety associated with the test, and thus enhance performance. In keeping with our hypothesis, participants performed better on a math test after first being exposed to funny cartoons versus non-humorous poems or nothing at all. Mediation analyses suggest that state anxiety mediated the relationship between exposure to humorous cartoons and math performance. Participants who were first exposed to cartoons performed better on the math test because they felt less anxiety while taking the test.Laughter gives us distance. It allows us to step back from an event, deal with it and then move on.-BobNewhart As any eollege student will affirm, taking a test can be stressful experience. In fact, apprehension associated with taking a test ean at times feel overwhelming. By merely anticipating a difficult test, a student ean experience intense anxiety and their minds can be invaded by fearful thoughts of failure and selfdoubt that interfere with eoncentration.In the present research, we consider the possibility that having a "good laugh" prior to taking a test ean aetually inhibit anxiety and prevent performance impairment. Specifically, we tested the effect of exposure to humorous

COVID‐19 is a major, urgent, and ongoing threat to global health. Globally more than 24 million have been infected and the disease has claimed more than a million lives as of November 2020. Predicting which patients will need respiratory support is important to guiding individual patient treatment and also to ensuring sufficient resources are available. The ability of six common Early Warning Scores (EWS) to identify respiratory deterioration defined as the need for advanced respiratory support (high‐flow nasal oxygen, continuous positive airways pressure, non‐invasive ventilation, intubation) within a prediction window of 24 h is evaluated. It is shown that these scores perform sub‐optimally at this specific task. Therefore, an alternative EWS based on the Gradient Boosting Trees (GBT) algorithm is developed that is able to predict deterioration within the next 24 h with high AUROC 94% and an accuracy, sensitivity, and specificity of 70%, 96%, 70%, respectively. The GBT model outperformed the best EWS (LDTEWS:NEWS), increasing the AUROC by 14%. Our GBT model makes the prediction based on the current and baseline measures of routinely available vital signs and blood tests.