cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60773/cfem-qh07
title: Effective, Reagent-Free Detection of the Odor Signature of COVID-19 Infection Using a Nano-Enabled Sensor Array

description: PROJECT SUMMARY COVID-19 presents a public health emergency: There is a critical need for rapid, not reagent intensive, non- invasive testing technologies. This program will lead to the production of a prototype system to diagnose COVID-19 infection using the body odor signature of the disease. Our goal is to maximize societal impact by creating a validated prototype that can be used in a community or workplace setting by minimally trained personnel for low-cost, on-the-spot diagnosis within minutes. The system will be developed in a manner that puts it on a pathway for rapid FDA approval. The Research Aims are: Aim 1. Optimization, assembly, and integration of a prototype system with the ability to odor signature of COVID-19 in samples of body odor. The system will be simple to use, pose essentially zero risk to the operator and the test subject, and report a result within minutes. The production cost at scale will be approximately $9,000 for the complete measurement system, with a per test cost of approximately $0.50. The design and construction of the prototype will be conducted by Novo Engineering, a leading firm with extensive experience in medical device development. Aim 2. Software development. Software for the system from VOC sampling to final diagnostic result will be developed to ensure error-free operation of the device. Our preliminary results suggest that simple linear discriminant analysis (LDA) does an excellent job of classifying VOCs from human body odor as COVID-19 positive or negative (92% sensitivity and 87% specificity). Optimization of the sensor array (Aim 1) and use of richer feature sets in our classifier models will lead to further performance improvements in the prototype system. Aim 3. System Benchmarking and Validation. We will benchmark the full prototype system against a number of VOC mixtures, with and without in vitro skin models. The system will undergo extensive testing against body odor samples from individuals with pathological conditions other than COVID-19 and other sources of potentially confounding VOCs. The prototype will be validated against 400 samples drawn from the COVID-SAFE program at Penn. The screening will include all members of the Penn community, and represents incredible racial and ethnic diversity as well as a wide variance in age, sex, and gender. Aim 4. Regulatory Approval Plan The plan will be developed under the direction of Sr/Key personnel John Fuson, JD, an attorney at Crowell & Moring LLP and a former Associate Chief Counsel at FDA. Novo Engineering has extensive experience in guiding prototype design in alignment with the requirements for FDA approval. The proposed COVID-19 VOC-based testing device will be regulated by the FDA, likely as a Class I or II medical device. Because there is no clear predicate device to reference in this case, we intend to submit a direct de novo petition to FDA asking the agency to categorize and clear the proposed COVID-19 testing device as Class I or Class II without reference to any predicate.
DOI: 10.60773/tpfh-0630
title: Tracking the COVID-19 Epidemic in Sewage (TRACES)

description: Wastewater based testing (WBT) holds great promise for cost-effective population surveillance andtransmission tracking of SARS-CoV-2 but optimal sampling modalities and protocols are unknown. Takingadvantage of a diverse inner city urban campus encompassing undergraduate, postgraduate dorms,research buildings and medical facilities, this project includes optimization of WBT surveillance strategies for waste streams at the building level, surrounding sewersheds, and wastewater treatment plants, as well as modeling of  case counts using normalized WBT data. Metatranscriptomics approaches will also be applied to track circulating and emerging SARS-CoV-2 variants and to develop point-of-use microfluidics systems for timely WBT.
DOI: 10.60773/jcap-3849
title: Identifying Biomarker Signatures of Prognostic Value for Multisystem Inflammatory Syndrome in Children (MIS-C)

description: The purpose of this study is to develop a tool that can diagnose multisystem inflammatory syndrome in children (MIS-C.) Some children and young adults who’ve had Covid-19 develop this rare disease about a month after they recover. It can be serious as it causes inflammation in various organs, including the heart, lungs, kidneys, brain, skin, eyes, and intestines. MIS-C has symptoms similar to several diseases, including Covid-19 and Kawasaki disease, making diagnosis difficult. Currently, patients must undergo a battery of tests in order to diagnose MIS-C, including blood work, x-rays, and echocardiograms, which can take several days, delay treatment, and subject parents and children to the anxiety that’s associated with an un-diagnosed, concerning illness. For the new diagnostic test, we are using an existing invention, a Grating-Coupled Fluorescence Plasmonic (GCFP) chip. It’s a small gold chip that can analyze up to 400 biomarkers at once, whereas common methods are only able to analyze one biomarker at a time. We hope to identify biomarkers that are only present, or are present in higher or lower numbers, when someone has MIS-C. The ability to include multiple biomarkers on one chip is very powerful as several biomarkers are likely involved with this disease. If we can identify these biomarkers, a doctor could place a drop of a patient’s saliva or blood on the chip, and the chip will quickly tell them if they have MIS-C or something else that looks like MIS-C. We are recruiting participants at four hospitals in the U.S. and Colombia, collecting their blood, saliva, and health information, and following them for up to four years. Scientists at five laboratories will study the blood and saliva to identify biomarkers, and also study the microbiome to better understand why some children develop MIS-C or become seriously ill, and others do not.
DOI: 10.25549/examiner-c44-4963
title: Hollywood Park races for May 26, 1951

description: 7 images. Hollywood Park races for May 26, 1951.
DOI: 10.60773/sqkn-3a50
title: A Confectionary-Based Screening Tool for Assessing Chemosensory Loss in COVID-19 Patients

description: The goals of this Emergency Competitive Revision are to develop (Aim 1) and deploy (Aim 2) a novel, objective, psychophysical smell and taste screening test to detect the onset of COVID 19 in at-risk populations. Complementary to the temperature screening procedures currently in use, this tool is predicted to promote early identification of COVID onset leading to better prognoses and the early implementation of protocols to prevent community spread. Our specific plan is to use a hard-candy containing different combinations of tastants and flavors that are easy to distribute to a large population. During the development phase (Aim 1), this novel test will be compared with the NIH toolbox to assess the acceptability and efficacy of the two methods. We expect that the hard-candy assessment will be at least as efficacious in detecting chemosensory loss but more acceptable to subjects. Aim 2 will entail daily self-monitoring of chemosensory function in at-risk populations with data tracked through a secure online portal. The novelty of this confectionary-based test is that it provides standard stimuli that can yield objective measures of both the qualitative and quantitative aspects of smell (aroma and flavor) and taste (sweet and sour). Moreover, both orthonasal and retronasal olfactory function will be independently assessed. The test can be self-administered and the familiar, pleasant nature of the stimuli should facilitate a high compliance rate, allowing for continuous monitoring over prolonged periods. Moreover, the test is rapid and inexpensive. Data will be incorporated into a predictive model for COVID 19 and assessed using AOC analyses of sensitivity and specificity. OSU is a leading large public land grant university with a varied population of students, faculty, and support staff that includes all health care specialties. These characteristics, along with the University-mandated regular PCR testing of students and staff makes it a perfect site to perform this urgent research.
DOI: 10.60773/073r-9g87
title: Early Detection, Containment, and Management of COVID-19 in Dialysis Facilities Using Multi-Modal Data Sources

description: With older age and multiple comorbidities, dialysis patients are at high risk for serious complications, even death, from COVID-19. There is a large disproportionate representation of minorities, especially Blacks and Hispanics. Over 85% of hemodialysis patients travel three times a week to dialysis facilities to receive life-sustaining treatments and cannot shelter in place. There is a critical need to characterize COVID-19 transmission pathways in dialysis patients and clinics, identify potential coronavirus carriers, and develop procedures to curb the spread. With regular medical encounters, a large amount of data has been collected for each patient over time. These data have not been fully utilized for COVID-19 prediction and control in dialysis clinics. We seek to leverage demographic, clinical, treatment, laboratory, socioeconomic, serological, metabolomic, wearable and machine-integrated sensors, and COVID-19 surveillance data to develop mathematical and statistical models and implement them in a large number of dialysis clinics. The mathematical and statistical modeling using multiple data resources will help us understand how COVID-19 spread in dialysis facilities, identify potential COVID-19 patients before symptoms appear, and identify potential asymptomatic COVID-19 patients. We will develop novel mathematical and statistical models that fully utilize the high dimensional multimodal data available to us and other dialysis providers. We capitalize on the intrinsic advantages of hemodialysis clinics to implement and validate the proposed prediction models. We firmly believe that this cross-disciplinary effort will improve patients’ and staff’s safety while delivering high-quality, individualized care to a high-risk population.
DOI: 10.60773/1835-3770
title: Community-Based COVID-19 Testing Evaluation

description: We have used a community-based participatory research approach guided by the Social Ecological Model to target testing strategies that will have the greatest impact for the Latinx and Marshallese communities in Northwest Arkansas. Our specific aims are: Aim 1: leverage and fully engage our long-standing community-based partnerships to increase COVID-19 testing and prepare for future vaccination trials; Aim 2: implement and evaluate access and uptake strategies of two community-driven COVID-19 testing approaches to understand effectiveness and impact for vulnerable populations; and Aim 3: fully collaborate with the RADx-UP CDCC and other RADx-UP sites. These study aims are built directly on our collaborative needs assessment and recommendations from our Community and Scientific Advisory Board.
DOI: 10.60773/amzc-p035
title: Creating a Sustainable Infrastructure for SARS-CoV-2 Testing at Syringe Exchange Programs

description: This study leverages a current partnership with HIV Alliance – an Oregon-based nonprofit dedicated to supporting individuals living with HIV/AIDS and preventing new HIV infections – to embed a COVID-19 testing program with a brief motivational enhancement intervention in their Syringe Services Programs (SSPs). SSPs offer a natural venue for testing as well as vaccination, when available, for people who inject drugs. This project has the potential to enhance COVID-19 testing access and reach for a significantly underserved population that is vulnerable to SARS-CoV-2 transmission and who is at increased risk for severe COVID-19 symptoms.
DOI: 10.15468/dl.zpctad
title: Occurrence Download

description: A dataset containing 641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Specimen, Living Specimen, Material sample)",
 "Country is Brazil",
 "TaxonKey is Thamnophilus caerulescens Vieillot, 1816"
 ]
}

 The dataset includes 641 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016212-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/examiner-c44-5593
title: Rocket tests -- Mojave Desert, 1951

description: 14 images. Rocket tests -- Mojave Desert, June 10, 1951. R. W. McCarthy; James Nudding; Dean Huling; E. V. Sawyer; Hal T. Curtis.; More descriptive information with originals.
DOI: 10.60773/3gd9-km98
title: Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox for Return of COVID-19 Results (RCR)

description: The overall goal of Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox for Return of COVID-19 Results (RCR) is to decrease health disparities related to COVID-19 by enabling widespread use of culturally congruent and health literate infographics to return the results of SARS-CoV-2 diagnostic and antibody testing in a manner that supports comprehension of the results, informs decision making, and motivates appropriate behaviors. In collaboration with our community partner, the Association to Benefit Children, we will use a mixed-methods research design to achieve the following specific aims:1. Advance understanding of the factors that influence comprehension and use of the results of SARS- CoV-2 diagnostic and antibody testing in underserved and vulnerable populations.2. Collaborate with underserved and vulnerable populations to design infographics for returning the results of SARS-CoV-2 diagnostic and antibody testing in a format that maximizes comprehension, informs decision making, and motivates action.3. Develop, implement, evaluate, and disseminate the ReDIVis Toolbox for returning the results of SARS- CoV-2 diagnostic and antibody testing.ReDIVis Toolbox-RCR builds upon substantial preliminary work in community engagement, lay-person science, system development and evaluation, and information visualization as well as existing infrastructure: (a) a research cohort of Latino adults, and (b) the Visualization Design Studio of the Precision in Symptom Self- Management Center. Informed by seven public health ethics principles, ReDIVis Toolbox-RCR research activities (focus groups, interviews, surveys, participatory design sessions, usability testing) will result in the web-based ReDIVis Toolbox that includes: (a) infographics in English and Spanish for returning SARS-CoV-2 test results; (b) documents to support design, implementation, and evaluation of infographics; and (c) software to enable the creation of tailored culturally congruent and health literate infographics. Within the defined areas of research interests in NOT-OD-20-119, ReDIVis Toolbox-RCR directly responds to the need for SARS-CoV-2 test results templates and toolkits designed in collaboration with communities and strategies and resources to increase use and utility of test results. In addition, ReDIVis Toolbox-RCR research activities will advance understanding of the social, ethical, and behavioral implications of how test results are interpreted and used; specifically, how the results influence decision making and COVID-19 mitigation behaviors (e.g., social distancing, self-isolation, mask wearing, and vaccination, when available). Moreover, we will interact with other RADx-UP grantees to enhance the generalizability of the ReDIVis Toolbox.
DOI: 10.25549/examiner-c44-56884
title: Tracy Clinic gals, 1958.

description: 2 images. Tracy Clinic gals , 7 May 1958. Mrs. Mel Burns; Frank Feltrop; Mrs. Laurence O'Larry; Mrs. Claude E. Safstrom; Mrs. Harry W. Robinson; Miss Maydelle Baker; Mrs. Douglas C. Coppin.; Caption slip reads: "Photographer: Wilson. Date: 1958-05-07. Reporter: Soc. Assignment: page #1. Special instructions:Tracy clinic gals. 7/8: L -- R at net -- Mrs. Mel Burns; Mr. Frank Feltrop (tournament manager); Mrs. Laurence O'Larry benefit chairman. 31/32: Mrs. Claude E. Safstrom; Mrs. Harry W. Robinson hostess; Miss. Maydelle Baker co -- chairman; Mrs. Douglas C. Coppin co -- chairman".; Supplementary material reads: "Photo assignment for Wednesday May 7 at 1:30 p.m. Page one Sunday layout. Pls go to home of Mrs. Harry Robinson, 1008 Eldon Way, Beverly Hills, (Sunset to Crescent, North on Crescent, past Lexington, to Elden, on right. Follow driveway to back of property where tennis court is located -- it's a long way -- ) get shots of Tracy Clinic gals readying Tennis and Crumpet tournament. Candid, close together, different set up from last tennis pix [sic] we used the other day. Animated. Include Mrs. Robinson. Contacts Thursday. Thanks Carter Ludlow".
DOI: 10.60773/ydsc-2z38
title: Improving the Response of Local Urban and Rural Communities to Disparities in COVID-19 Testing

description: Local health departments are employing widely varying approaches to address the dramatic health inequities associated with the COVID-19 pandemic. Learning collaboratives have been effective in other settings for bringing entities together to support joint problem solving and reduce variance in approach. These collaboratives build upon shared experiences to help their members understand not only what to do but how to do it, providing knowledge and skills that are critical to successful implementation of interventions. This study aims to examine the effectiveness of a diverse, regional learning collaborative of health departments that will rapidly adapt, test, and implement community-driven solutions for COVID testing disparities using a pragmatic, hybrid type II trial design. Based on preliminary data from a community-led approach developed in a severely affected Kansas county (Wyandotte), the project will build Local Heath Equity Action Teams in 10 counties (4 urban and 6 rural) disproportionately affected by COVID and provide them with the training and resources needed to achieve COVID testing equity. These Local Health Equity Action Teams will come together into a multi-jurisdictional learning collaborative or ‘Community Partner Program’ (Aim 1) that can share best practices and collaborate on developing, testing and evaluating multi-component intervention packages for addressing COVID. Initial supported interventions will include: community-sponsored pop-up testing events; home-based and worksite testing; community-informed communication strategies; and ‘support packages’ for at-risk individuals and families receiving testing. Additional interventions developed or proposed by our local community partners or identified through national RADx-UP efforts will be continuously considered by the collaborative. Working with the local Action teams, we will conduct a series of semi-structured interviews and surveys within each local community (Aim 2) to better understand common and subgroup (racial, ethnic, geographic, etc.) barriers to and facilitators of testing. We will leverage existing epidemiologic surveillance tools to develop and track a series of county-level metrics of COVID testing inequities. Guided by the RE-AIM framework and the Consolidated Framework for Intervention Research, we will examine the effectiveness (Aim 3) of the collaborative in improving uptake of COVID testing in vulnerable communities and examine the reach, adoption, implementation and maintenance of intervention components within each local community. This study will not only advance our understanding of how to achieve COVID testing equity but will also provide a framework for supporting underserved communities as they respond to future public health emergencies and COVID vaccination challenges.
DOI: 10.25549/examiner-c44-3950
title: Truck accident -- 7th and Decatur, 1951

description: 2 images. Truck accident -- 7th and Decatur, June 6, 1951. Driver being helped out of Adler Mills Supply truck loaded with war surplus web belts.
DOI: 10.60773/7x5v-ym43
title: Transforming Community Engagement to Increase SARS-CoV-2 Testing in Underserved Populations in Baton Rouge (TEST UP-BR)

description: In the US, COVID-19 has unveiled a disproportionate health burden in low income and underserved segments of society. In Louisiana, some of the greatest health and economic consequences are evident in Black communities. There is an urgent need to establish effective testing strategies in these communities as the Fall/Winter virus surges unfold. The Louisiana Clinical and Translational Science (LA CaTS) Center provides the essential infrastructure and key foundational support for biomedical research in our region; it is uniquely positioned to lead a community-engaged testing research project to determine differences in COVID-19 testing rates between community-based (churches, community centers, and schools) and medical clinic-based testing sites, and determine approaches that will increase uptake of testing in underserved Black communities in the South. We plan to address these issues using a two-pronged approach. First, we will use a community based participatory research approach to determine differences in SARS-CoV-2 testing rates across distinct types of test sites within five urban underserved Black communities in the American South. We will use a multimedia campaign to promote and conduct real-time reverse transcription polymerase chain reaction (RT-PCR) testing on salivary samples obtained from 2,000-3000 adults at 1) medical clinics, 2) schools, 3) community centers, and 4) churches (in random order) within five ZIP codes with known low socioeconomic status (SES) and a high representation of Black residents. The primary outcome will be the number of tests performed at each type of test site. We will collect information on age, sex, race, height, weight, employment, and household income, etc. to identify important correlates of testing rates. Second, we will further leverage our strong and well-integrated partnership with the Baton Rouge Mayor’s Healthy City Initiative (HealthyBR) together with our LA CaTS Community Advisory Boards (CABs) to conduct community-based focus groups to obtain qualitative data about the perceptions and attitudes related to testing access and potential barriers affecting such. We will use this information to determine community-driven approaches that are effective in reducing barriers and create strategies to increase SARS-CoV-2 testing uptake in urban underserved Black communities. Results of this project will greatly increase our understanding of the factors that have led to a disproportionate COVID-19 health burden in these underserved populations and lay the groundwork for developing strategies to reduce these disparities in all underserved Black communities. Resulting data will inform the equitable deployment of future virus/flu testing and a SARS-CoV-2 vaccine.