To slow the spread of COVID-19, most countries implemented stay-at-home orders, social distancing, and other nonpharmaceutical mitigation strategies. To understand individual preferences for mitigation strategies, we piloted a web-based Respondent Driven Sampling (RDS) approach to recruit participants from four universities in three countries to complete a computer-based Discrete Choice Experiment (DCE). Use of these methods, in combination, can serve to increase the external validity of a study by enabling recruitment of populations underrepresented in sampling frames, thus allowing preference results to be more generalizable to targeted subpopulations. A total of 99 students or staff members were invited to complete the survey, of which 72% started the survey (n = 71). Sixty-three participants (89% of starters) completed all tasks in the DCE. A rank-ordered mixed logit model was used to estimate preferences for COVID-19 nonpharmaceutical mitigation strategies. The model estimates indicated that participants preferred mitigation strategies that resulted in lower COVID-19 risk (i.e. sheltering-in-place more days a week), financial compensation from the government, fewer health (mental and physical) problems, and fewer financial problems. The high response rate and survey engagement provide proof of concept that RDS and DCE can be implemented as web-based applications, with the potential for scale up to produce nationally-representative preference estimates.

A recent line of research has suggested that memory systems evolved to encode fitness-relevant information more effectively than other types of information-a phenomenon known as the "survival processing effect" (Nairne, Thompson, & Pandeirada Journal of Experimental Psychology: Learning, Memory, and Cognition 33:263-273, 2007). However, the basis for the effect has been debated. In addition, it is unknown whether or not individuals will adjust their judgments of learning (JOLs) to reflect the survival processing effect. In three experiments, participants rated 16 words for their relevance to a survival scenario and another 16 words for their relevance to a bank robbery scenario. In Experiment 1A (with no JOLs), the survival processing effect emerged; in Experiment 1B (with JOLs), no survival processing effect emerged, but JOLs were higher in the survival condition. In both cases, these findings were confounded by higher relevance ratings in the survival condition. In Experiment 2, relevance was manipulated within each list, and the survival processing effect was eliminated. Instead, both recall and JOL magnitude were related to level of congruity between the words and type of processing. Together, these results provide further evidence for the role of congruity in the survival processing effect and JOLs.

Mycobacteriophage Phayonce is a newly isolated phage recovered from a soil sample in Pittsburgh, PA, using Mycobacterium smegmatis mc2155 as a host. Phayonce’s genome is 49,203 bp long and contains 77 protein-coding genes, 23 of them having predicted functions. Phayonce shares a strong similarity in nucleotide sequence with phages of cluster P.

IMPORTANCE It remains poorly understood whether income assistance for adults with low income and disability improves health outcomes.OBJECTIVE To examine the association between eligibility for disability compensation and mortality and hospitalizations among Vietnam-era veterans with diabetes.DESIGN, SETTING, AND PARTICIPANTS Quasiexperimental cohort study of a July 1, 2001, policy that expanded eligibility for disability compensation to veterans with "boots on the ground" (BOG) during the Vietnam era on the basis of a diagnosis of diabetes; veterans who were "not on ground" (NOG) remained ineligible. Participants were Vietnam-era veterans with diabetes in the Veterans Affairs Healthcare System. Difference-in-differences were estimated during early (