Beliefs about Social Distancing During COVID-19 Stay-At-Home Orders: A Theory-Based Salient Belief Elicitation

Understanding the beliefs about social distancing behaviors is required to inform 2019 coronavirus disease (COVID-19) interventions that are based on theory, research, and evidence. This study investigated the salient beliefs related to social distancing. United States adults (n = 106) recruited from Amazon’s Mechanical Turk completed an online reasoned action approach belief elicitation from April 19 to April 25, 2020. Behavioral beliefs (advantages and disadvantages), normative beliefs (approvers and disapprovers), and control beliefs (facilitators and barriers) related to social distancing were elicited via open-ended questions. A content analysis was performed, and kappa statistics revealed high levels of interrater reliability (α = 0.86-0.96). Results revealed that a perceived salient advantage to social distancing was individual COVID-19 prevention, more so than community prevention. The most cited disadvantage was that social distancing could prevent participants from socially interacting with others, which could negatively impact mental health. Family and friends were the most mentioned approvers, while people who hold conservative ideologies and negative attitudes about COVID-19 were the most frequent disapprovers. Supply accessibility and store policies were the most listed facilitators. Results suggest three implications. First, pandemic-related public health and social marketing campaigns should focus more on individual health benefits than community health benefits. Second, digital public health interventions that address social connectedness and mental health outcomes are critical during pandemics. Third, public health scientists and practitioners should work with local and national media outlets and political leaders to create community-tailored and evidence-based information to increase adherence of mitigation strategies

EXPOSURE TIME OF ORAL RABIES VACCINE BAITS RELATIVE TO BAITING DENSITY AND RACCOON POPULATION DENSITY

Oral rabies vaccination (ORV) baiting programs for control of raccoon (Procyon lotor) rabies in the USA have been conducted or are in progress in eight states east of the Mississippi River. However, data specific to the relationship between raccoon population density and the minimum density of baits necessary to significantly elevate rabies immunity are few. We used the 22-km2 US National Aeronautics and Space Administration Plum Brook Station (PBS) in Erie County, Ohio, USA, to evaluate the period of exposure for placebo vaccine baits placed at a density of 75 baits/km2 relative to raccoon population density. Our objectives were to 1) estimate raccoon population density within the fragmented forest, old-field, and industrial landscape at PBS; and 2) quantify the time that placebo, Merial RABORAL V-RG* vaccine baits were available to raccoons. From August through November 2002 we surveyed raccoon use of PBS along 19.3 km of paved-road transects by using a forward-looking infrared camera mounted inside a vehicle. We used Distance 3.5 software to calculate probability of detection function by which we estimated raccoon population density from transect data. Estimated population density on PBS decreased from August (33.4 raccoons/km2) through November (13.6 raccoons/km2), yielding a monthly mean of 24.5 raccoons/km2. We also quantified exposure time for ORV baits placed by hand on five 1-km2 grids on PBS from September through October. An average 82.7% (SD=4.6) of baits were removed within 1 wk of placement. Given raccoon population density, estimates of bait removal and sachet condition, and assuming 22.9% nontarget take, the baiting density of 75/ km\u27 yielded an average of 3.3 baits consumed per raccoon anti the sachet perforated

EXPOSURE TIME OF ORAL RABIES VACCINE BAITS RELATIVE TO BAITING DENSITY AND RACCOON POPULATION DENSITY

Oral rabies vaccination (ORV) baiting programs for control of raccoon (Procyon lotor) rabies in the USA have been conducted or are in progress in eight states east of the Mississippi River. However, data specific to the relationship between raccoon population density and the minimum density of baits necessary to significantly elevate rabies immunity are few. We used the 22-km2 US National Aeronautics and Space Administration Plum Brook Station (PBS) in Erie County, Ohio, USA, to evaluate the period of exposure for placebo vaccine baits placed at a density of 75 baits/km2 relative to raccoon population density. Our objectives were to 1) estimate raccoon population density within the fragmented forest, old-field, and industrial landscape at PBS; and 2) quantify the time that placebo, Merial RABORAL V-RG* vaccine baits were available to raccoons. From August through November 2002 we surveyed raccoon use of PBS along 19.3 km of paved-road transects by using a forward-looking infrared camera mounted inside a vehicle. We used Distance 3.5 software to calculate probability of detection function by which we estimated raccoon population density from transect data. Estimated population density on PBS decreased from August (33.4 raccoons/km2) through November (13.6 raccoons/km2), yielding a monthly mean of 24.5 raccoons/km2. We also quantified exposure time for ORV baits placed by hand on five 1-km2 grids on PBS from September through October. An average 82.7% (SD=4.6) of baits were removed within 1 wk of placement. Given raccoon population density, estimates of bait removal and sachet condition, and assuming 22.9% nontarget take, the baiting density of 75/ km\u27 yielded an average of 3.3 baits consumed per raccoon anti the sachet perforated

The James Webb Space Telescope Mission

Twenty-six years ago a small committee report, building on earlier studies, expounded a compelling and poetic vision for the future of astronomy, calling for an infrared-optimized space telescope with an aperture of at least $4m$. With the support of their governments in the US, Europe, and Canada, 20,000 people realized that vision as the $6.5m$ James Webb Space Telescope. A generation of astronomers will celebrate their accomplishments for the life of the mission, potentially as long as 20 years, and beyond. This report and the scientific discoveries that follow are extended thank-you notes to the 20,000 team members. The telescope is working perfectly, with much better image quality than expected. In this and accompanying papers, we give a brief history, describe the observatory, outline its objectives and current observing program, and discuss the inventions and people who made it possible. We cite detailed reports on the design and the measured performance on orbit.Comment: Accepted by PASP for the special issue on The James Webb Space Telescope Overview, 29 pages, 4 figure

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Association between adverse childhood experiences and fruit and vegetable intake among a national sample of U.S. adults

Few studies have examined the role adverse childhood experiences (ACEs) have on specific diet patterns. This study assessed the association between ACEs and daily fruit and vegetable intake (FVI). Data were derived from the 2019 Behavioral Risk Factor Surveillance System (BRFSS) which surveys 50 states and three U.S. territories. Participants who completed the ACEs module were included in the analyses (N = 106,967). Total ACEs included the summed responses from the domains of abuse, household challenges, and neglect. FVI was reported by number of times consumed per day. The two fruit items included fruit (fresh, frozen, and canned) and fruit juice. The four vegetable items included leafy greens, fried potatoes, non-fried potatoes, and other vegetables. All fruit and vegetable items were analyzed separately to see which specific items drove the relationship between total ACEs and total FVI, equaling a total of 8 regression models. Every model controlled for poor mental health days, sex, age, ethnicity, income, body mass index, and physical activity. Total ACEs were positively associated with daily intake of fried potatoes (β = 0.008, p =.025), other potatoes (β = 0.008, p =.049), and other vegetables (β = 0.024, p <.001). Total ACEs were negatively associated with daily intake of fruit (β = -0.016, p <.001). ACEs had non-significant relationships with leafy greens and fruit juice. Findings suggests that those with increased ACEs scores report increased consumption of fried potatoes, non-fried potatoes, and other vegetables, and less of fruit. Findings highlight the need for understanding food context and preparation when analyzing the relationship between ACEs and diet intak

Experiences of Stigma by Gay and Bisexual Men in Rural Oklahoma

Purpose: The unique experiences of men who have sex with men (MSM) residing in culturally conservative rural areas are not well represented in the scientific literature. The human immunodeficiency virus (HIV) epidemic in the United States has shifted toward rural areas where populations are dispersed and health care resources are limited. Methods: We recruited 40 sexual minority men, ages 22–66, residing in rural Oklahoma for in-depth, qualitative sexual health interviews that sought to understand how cultural and social environments impacted health behaviors. Findings: Participants described a stigmatizing social environment and less access to quality, sexual minority medical care within rural communities and perceived these as substantial barriers to enhancing health. Structural issues, including lack of sexual minority-affirming policies, institutional practices, and hostile cultural norms, were noted. Conclusions: Results indicate the need to develop greater awareness of stigma as an etiologic factor that contributes to the health of rural sexual minority populations, specifically when it relates to provision of culturally appropriate care

A Quantitative Systems Pharmacology Model of Gaucher Disease Type 1 Provides Mechanistic Insight Into the Response to Substrate Reduction Therapy With Eliglustat

Gaucher's disease type 1 (GD1) leads to significant morbidity and mortality through clinical manifestations, such as splenomegaly, hematological complications, and bone disease. Two types of therapies are currently approved for GD1: enzyme replacement therapy (ERT), and substrate reduction therapy (SRT). In this study, we have developed a quantitative systems pharmacology (QSP) model, which recapitulates the effects of eliglustat, the only first-line SRT approved for GD1, on treatment-na\uefve or patients with ERT-stabilized adult GD1. This multiscale model represents the mechanism of action of eliglustat that leads toward reduction of spleen volume. Model capabilities were illustrated through the application of the model to predict ERT and eliglustat responses in virtual populations of adult patients with GD1, representing patients across a spectrum of disease severity as defined by genotype-phenotype relationships. In summary, the QSP model provides a mechanistic computational platform for predicting treatment response via different modalities within the heterogeneous GD1 patient population