U.S. Geographic Differences in Media Source Use During COVID-19 Shelter in Place Orders

United States news access patterns may have influenced distribution of misinformation in the COVID-19 infodemic, emphasizing the necessity of targeted communication to increase health literacy during a crisis. This study used sense-making theory to explore information-seeking behaviors of U.S. residents during COVID-19 shelter in place orders. This purpose of this study was to identify media outlets used by U.S. residents to access COVID-19 information and determine if access differed according to geographic region. A representative survey of U.S. residents aged 18 or older (N = 1,048) revealed the mainstream media outlets used most were domestic government-based sources. Northeastern and Western residents used all mainstream media outlets more frequently than Southern or Midwestern residents. Chi-square tests determined the regional news-access differences were significant, revealing inconsistencies in information-seeking behaviors. The findings suggest crisis communication plans that affect food and human health must consider regional information-seeking behaviors of U.S. residents to effectively reach target audiences with pertinent information

Exploring Source Credibility when Communicating about Agricultural Science on Twitter

Universities must strategically communicate agricultural science to effectively reach millennials skeptical of agricultural innovations and constantly assessing the credibility of online information. Universities are trusted information sources and must maintain credibility on social media platforms such as Twitter, used by millennials to receive and share information. Source credibility seeks to understand message source and recipient characteristics that influence recipients’ perceptions of a source’s expertise and trustworthiness. The purpose of this study was to explore differences in engagement when specific factors affecting source credibility were emphasized when communicating with millennials about agricultural science on Twitter. The purpose was accomplished by describing the level of engagement and the differences in engagement observed between perceived gender, race, and age of university scientists. Over seven months, researchers wrote press releases about published journal articles authored by two or more diverse, university-affiliated scientists. They published multiple tweets about each release, with the only difference being the scientists’ headshots. Scientists were categorized as perceived male versus female, White versus Non-White, and older versus younger. Descriptive analysis of engagement metrics from 32 tweets found those with females performed better than those with males. Non-White scientist tweets performed better with the exception of engagement rate. Tweets featuring younger scientists received more engagement than older. The exploratory results implied tweets featuring young, Non-White females may elicit higher engagement. Future studies should examine if engagement metrics are correlated with source credibility dimensions. Strategically featuring diverse scientists in research communication may be utilized to build engagement in universities’ social media

Examining Interdisciplinary Research Collaborations to Inform Agricultural and Environmental Science Communication: A Meta-synthesis Approach

Agriculturalists and environmentalists must navigate complex challenges as the global population continues to increase and environmental resources are depleted. Colleges of agricultural and environmental sciences are tasked with addressing the nexus between environmental and agricultural challenges through research, education, and communication. However, the amount of research being conducted with both agriculture and the environment considered is largely unknown and, as a result, their corresponding communication messages may not provide coherent messages from the college. Therefore, the purpose of this study was to identify if research within a college of agricultural and environmental sciences takes a holistic approach so that communication efforts coming from the college can encompass both perspectives. The data were collected from a web-based system containing university research publications and analyzed using a thematic analysis and meta-synthesis. The meta-synthesis revealed 212 codes overlapping agricultural and environmental themes compared to the total 4,325 codes found across all publications. The findings indicated there was a limited amount of collaboration occurring between environmental and agricultural researchers within the college. Without collaborative research, agricultural communicators cannot develop science communication efforts that holistically integrate evidence-based science. As new challenges emerge at the nexus of agriculture and the environment, researchers must shift toward a collaborative and interdisciplinary approach to ensure the science communication efforts sharing their findings are inclusive

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

Polygenic Risk Modelling for Prediction of Epithelial Ovarian Cancer Risk

Funder: Funding details are provided in the Supplementary MaterialAbstractPolygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally-efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, “select and shrink for summary statistics” (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestry; 7,669 women of East Asian ancestry; 1,072 women of African ancestry, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestry. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38(95%CI:1.28–1.48,AUC:0.588) per unit standard deviation, in women of European ancestry; 1.14(95%CI:1.08–1.19,AUC:0.538) in women of East Asian ancestry; 1.38(95%CI:1.21-1.58,AUC:0.593) in women of African ancestry; hazard ratios of 1.37(95%CI:1.30–1.44,AUC:0.592) in BRCA1 pathogenic variant carriers and 1.51(95%CI:1.36-1.67,AUC:0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.</jats:p

CO2 is Dominant Greenhouse Gas Emitted from Six Hydropower Reservoirs in Southeastern United States during Peak Summer Emissions

During August–September 2012, we sampled six hydropower reservoirs in southeastern United States for CO2 and CH4 emissions via three pathways: diffusive emissions from water surface; ebullition in the water column; and losses from dam tailwaters during power generation. Estimates of average areal emission rates of CO2 attributable to the six reservoirs (i.e., reservoir plus tailwater emissions) ranged from 994 to 2760 mg·m−2·day−1, which is low to moderate compared to CO2 emissions rates reported for tropical hydropower reservoirs and boreal ponds and lakes, and similar to rates reported for other temperate reservoirs. Similar average rates for CH4 were also relatively low, ranging from 6 to 187 mg·m−2·day−1. On a whole-reservoir basis, estimates of total emissions of CO2 ranged 10-fold, from 42,740 kg per day for Fontana to 501,151 kg per day for Guntersville, and total emissions of CH4 ranged over 30-fold, from 251 kg per day for Fontana to 9153 kg per day for Allatoona. Emissions through the tailwater pathway varied among reservoirs, comprising from 19% to 65% of total CO2 emissions and 0% to 84% of CH4 emissions, depending on the reservoir. Emission rates were significantly correlated with several reservoir morphological and water quality characteristics, including metrics related to vertical stratification (e.g., minimum water column temperature and maximum dissolved oxygen) and reservoir productivity (e.g., water transparency and chlorophyll a concentration)

Spatial and Temporal Correlates of Greenhouse Gas Diffusion from a Hydropower Reservoir in the Southern United States

Emissions of CO2 and CH4 from freshwater reservoirs constitute a globally significant source of atmospheric greenhouse gases (GHGs), but knowledge gaps remain with regard to spatiotemporal drivers of emissions. We document the spatial and seasonal variation in surface diffusion of CO2 and CH4 from Douglas Lake, a hydropower reservoir in Tennessee, USA. Monthly estimates across 13 reservoir sites from January to November 2010 indicated that surface diffusions ranged from 236 to 18,806 mg·m−2·day−1 for CO2 and 0 to 0.95 mg·m−2·day−1 for CH4. Next, we developed statistical models using spatial and physicochemical variables to predict surface diffusions of CO2 and CH4. Models explained 22.7% and 20.9% of the variation in CO2 and CH4 diffusions respectively, and identified pH, temperature, dissolved oxygen, and Julian day as the most informative predictors. These findings provide baseline estimates of GHG emissions from a reservoir in eastern temperate North America, a region for which estimates of reservoir GHGs emissions are limited. Our statistical models effectively characterized non-linear and threshold relationships between physicochemical predictors and GHG emissions. Further refinement of such modeling approaches will aid in predicting current GHG emissions from unsampled reservoirs and forecasting future GHG emissions

The Evolving Role of Consumers

The culmination of the changes in healthcare, motivated in many ways by the rapid evolution of information and communication technologies in parallel with the shift toward increased patient decision-making and empowerment, has critical implications for clinical research, from recruitment and participation to, ultimately, successful outcomes. This chapter explores the developments impacting health consumers from various perspectives, with some focus on foundational issues in health communication and information behaviors as related to health consumerism. An overarching concern is the information environment within which health consumers are immersed, which is increasingly social, and underlying communication issues and emerging technologies contributing to the changing nature of patients’ information world. Not surprisingly, we will see that core findings from communication and information behavior research have relevance for our current understanding and future models of the evolving role of the health consumer