Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1385&sort=-start_date
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-start_date", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=-start_date", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1386&sort=-start_date", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=-start_date" }, "data": [ { "type": "Grant", "id": "5978", "attributes": { "award_id": "3P20GM103466-20S1", "title": "Surveillance of SARS-CoV-2 Variants in Hawaii", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 20453, "first_name": "Sheila", "last_name": "Caldwell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2001-09-30", "end_date": "2023-04-30", "award_amount": 714791, "principal_investigator": { "id": 20454, "first_name": "Robert Alan", "last_name": "Nichols", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 866, "ror": "https://ror.org/01wspgy28", "name": "University of Hawaii at Manoa", "address": "", "city": "", "state": "HI", "zip": "", "country": "United States", "approved": true }, "abstract": "The Hawaii Statewide Research and Education Partnership (HiSREP) comprises a network of nearly all of the institutions of higher learning in the state of Hawaii, specifically 4 primarily undergraduate institutions (PUIs), 1 University of Hawaii (UH) college and 4 UH community colleges under the management of the lead R1 institution, the University of Hawaii at Manoa. In the previous grant cycle, INBRE III focused on strengthening the research community and infrastructure at the partner institutions outside of the lead institution. This was accomplished through a tightly coordinated leadership team overseeing an integrated program of support for new laboratory construction under Alterations & Renovation funding, acquisition of new instrumentation, funding for junior investigator research and undergraduate student research experiences paired with outreach and multi-level mentoring. This resulted in substantial expansion of the research base, stronger student engagement leading to a near doubling in student participants, and new initiatives in career advancement. In INBRE IV, HiSREP will continue the development of emerging investigators, but will widen the reach of the network to all levels of biomedical research scientists through a new array of competitive granting mechanisms including teaching-postdoctoral fellowships, pilot projects, new initiatives and team-based collaborative grants through a Developmental Research Project Program (DRPP). Research under HiSREP will be guided by two key themes, Natural Products and Molecular Medicine, which emphasize notable strengths in the biomedical research community in Hawaii. In addition, HiSREP will support a reorganized Bioinformatics Core as a centralized resource across the state to provide education on bioinformatics, aid with research design, technical expertise including development of new informatics tools, data management and analysis. The Bioinformatics Core will promote community synergy for researchers and students through one-on-one, group, workshop, course and online interactions, the latter through a real-time research community portal. The student research program under the PATHway to Biomedical Careers will look to embrace a wider range of undergraduates by emphasizing collaborative group projects through volunteer, intern, scholar and returning researcher opportunities, including partnerships with complementary undergraduate research programs, while maintaining focus on individual career development through skill training, practical mentoring sessions, extended resources and workforce development. In addition, PATHway will develop proactive advanced training for laboratory supervisors to increase research sophistication as well as opportunity statewide, leading to increased capacity. It will also ultimately enhance undergraduate education through incorporation of research activity into the basic science curriculum. Overall, HiSREP will serve as a catalyst for advancement of the research scientist pipeline with the ultimate goal of elevating the ability of the biomedical research community to make new and important discoveries for improving health and well-being in the state of Hawaii.", "keywords": [ "Advisory Committees", "Applications Grants", "Basic Science", "Bioinformatics", "Biomedical Research", "Biometry", "COVID-19 surveillance", "Career Mobility", "Communication", "Communities", "Data", "Data Analyses", "Development", "Education", "Educational Curriculum", "Educational process of instructing", "Educational workshop", "Faculty", "Fellowship", "Funding", "Funding Mechanisms", "Funding Opportunities", "Genomics", "Goals", "Grant", "Hawaii", "Health", "Health Benefit", "Immersion", "Individual", "Infrastructure", "Institution", "Internships", "Laboratories", "Lead", "Leadership", "Learning", "Mentors", "Metagenomics", "Molecular Medicine", "National Institute of General Medical Sciences", "Natural Products", "Participant", "Pathway interactions", "Personal Satisfaction", "Pilot Projects", "Productivity", "Program Development", "Program Research Project Grants", "Proteomics", "Public Health", "Research", "Research Activity", "Research Design", "Research Infrastructure", "Research Personnel", "Research Project Grants", "Research Training", "Resource Development", "Resources", "Role", "SARS-CoV-2 variant", "Science", "Scientist", "Seasons", "Solid", "Structure", "Students", "Technical Expertise", "Technology", "Time", "Training", "Training Programs", "Training and Education", "Universities", "Workforce Development", "base", "bioinformatics resource", "career", "career development", "catalyst", "college", "community college", "data management", "epigenomics", "experience", "faculty mentor", "health science research", "improved", "informatics tool", "innovation", "instrumentation", "interest", "laboratory experience", "meetings", "metabolomics", "multidisciplinary", "next generation", "next generation sequencing", "outreach", "outreach program", "programs", "recruit", "research and development", "skills training", "student participation", "synergism", "transcriptomics", "undergraduate education", "undergraduate research experience", "undergraduate student", "volunteer" ], "approved": true } }, { "type": "Grant", "id": "6111", "attributes": { "award_id": "3P20GM103446-20S2", "title": "Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in Delaware", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 20784, "first_name": "KRISHAN", "last_name": "ARORA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2001-09-30", "end_date": "2024-04-30", "award_amount": 234918, "principal_investigator": { "id": 20785, "first_name": "Steven J.", "last_name": "Stanhope", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 442, "ror": "https://ror.org/01sbq1a82", "name": "University of Delaware", "address": "", "city": "", "state": "DE", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 31237, "first_name": "Babatunde A.", "last_name": "Ogunnaike", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 442, "ror": "https://ror.org/01sbq1a82", "name": "University of Delaware", "address": "", "city": "", "state": "DE", "zip": "", "country": "United States", "approved": true } ] } ], "awardee_organization": { "id": 442, "ror": "https://ror.org/01sbq1a82", "name": "University of Delaware", "address": "", "city": "", "state": "DE", "zip": "", "country": "United States", "approved": true }, "abstract": "In this project, our team seeks to develop and evaluate a unique predictive modeling approach that can be applied to the spread of SARS-CoV-2 and subsequently adapted to address other emergent infectious diseases. Robust and accurate predictive models are needed to allow healthcare and public health experts to devise and evaluate interventions for controlling viral spread and mitigating the effects of disease. When new disease-caus- ing viruses arise (such as the recent novel coronavirus SARS-CoV-2), deploying useful predictive models is challenging. First, the transmission characteristics within often diverse populations are not immediately under- stood; and second, many existing model frameworks are based on a necessarily simplified set of serially-com- partmentalized transmissions between susceptible, exposed, infected, and recovered (SEIR) groups that may not accurately represent the realities of the new virus. In the current proposal, we develop and validate a novel modeling approach based on principles of chemical reaction kinetics (CRK). The CRK approach allows us to model the infection/transmission of any virus with the same formalism employed to describe the chemical reac- tion of one molecule (an infected individual) with another (an uninfected). Our approach also employs “Residence Time Distribution” theory, which is typically applied to understand large-scale chemical reactors where reagents move, mix, and interact in a complex manner, to capture elegantly and effectively the uncertainties involved in complex disease processes, especially those resulting in recovery or mortality. In the long-term, our CRK-based system will provide a readily-adaptable and facile framework that can be linked to relevant data streams available through INBRE partner institutions in the state of Delaware, which has a population basis that is broadly repre- sentative of the nation, to allow rapid use. In addition, the model itself will be accessible to researchers, clinicians, and public health experts through a convenient online interface. In the long-term, the model and interface will be vetted and deployed following a detailed Resource Sharing Plan designed to assure usability and impact. In the initial 12-month study proposed here, we begin development of this system by utilizing existing datasets for SARS-CoV-2 to deploy a flexible model framework that predicts fundamental aspects of SARS-CoV-2 spread. In short, a set of ordinary differential equations is developed based on CRK principles where the “reaction rate constants” directly connect to physiological and epidemiological parameters and where recovery and death are characterized by directly determinable “Mean-Time-To-Recovery” and “Mean-Time-To-Death” parameters. We will proceed by addressing two aims: 1) Develop and validate a “Chemical Reaction Kinetics”-based model of COVID-19 infection for the State of Delaware; 2) Develop Optimal CRK Model-Based Mitigation Strategies and Implement a Model and Mitigation Strategy in a User-Friendly Software Appropriate for Policymakers. Execution of these aims will provide a new CRK-based model that will provide a foundation for more advanced modeling tools and will serve as a powerful adjunct to the more traditional models based on SEIR-derived frameworks.", "keywords": [ "2019-nCoV", "Address", "Behavioral", "Biological Process", "COVID-19", "COVID-19 pandemic", "Cessation of life", "Characteristics", "Chemical Engineering", "Chemicals", "Collaborations", "Communicable Diseases", "Communities", "Complement", "Complex", "Contact Tracing", "Dangerousness", "Data", "Data Science", "Data Set", "Delaware", "Differential Equation", "Disease", "Disease Outbreaks", "Economics", "Epidemic", "Epidemiology", "Equation", "Evolution", "Felis catus", "Foundations", "Future", "Handwashing", "Health Sciences", "Healthcare", "Hospitalization", "Individual", "Infection", "Infrastructure", "Institution", "Intervention", "Intervention Studies", "Kinetics", "Laboratories", "Learning", "Letters", "Link", "Medical", "Medical Research", "Modeling", "Physiological", "Policies", "Population", "Population Heterogeneity", "Process", "Protocols documentation", "Public Health", "Quarantine", "Reagent", "Recovery", "Research", "Research Personnel", "Resort", "Resource Sharing", "SARS-CoV-2 infection", "Sample Size", "Sampling", "Specific qualifier value", "Speed", "Stretching", "System", "Systems Development", "Testing", "Time", "Translational Research", "Treatment Protocols", "Uncertainty", "Ursidae Family", "Vaccines", "Viral", "Virus", "Virus Diseases", "Work", "base", "biological systems", "chemical reaction", "combat", "computer science", "curative treatments", "data streams", "design", "dynamical evolution", "epidemiological model", "experience", "flexibility", "infection rate", "insight", "kinetic model", "mathematical model", "mortality", "multidisciplinary", "novel", "novel coronavirus", "pandemic disease", "predictive modeling", "psychologic", "reaction rate", "residence", "response", "social", "theories", "tool", "transmission process", "usability", "user friendly software" ], "approved": true } }, { "type": "Grant", "id": "6550", "attributes": { "award_id": "3P20GM103429-21S1", "title": "Partnerships for Biomedical Research in Arkansas", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 21931, "first_name": "KRISHAN", "last_name": "ARORA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2001-09-30", "end_date": "2025-04-30", "award_amount": 50666, "principal_investigator": { "id": 21932, "first_name": "Lawrence E", "last_name": "Cornett", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 772, "ror": "", "name": "UNIV OF ARKANSAS FOR MED SCIS", "address": "", "city": "", "state": "AR", "zip": "", "country": "United States", "approved": true }, "abstract": "This proposal will continue to pursue the primary goals of the Arkansas IDeA Network for Biomedical Research Excellence (INBRE) to expand biomedical research capacity in Arkansas. Building upon infrastructure developed during the earlier BRIN/INBRE phases, two research-intensive, lead institutions in the state—the University of Arkansas for Medical Sciences (UAMS) and the University of Arkansas, Fayetteville (UAF) will provide scientific leadership. The focus of the Developmental Research Project Program will be to expand the number of faculty at primarily undergraduate institutions (PUI) engaged in biomedical research. This will be accomplished by assisting PUIs with faculty recruitments, providing research funding, and supporting the career development of PUI faculty. Arkansas INBRE-supported research led by PUI faculty will be carried out in collaboration with their mentors at the lead institutions under the overall theme of Cellular Signaling, Growth, and Differentiation. The Administrative Core will provide operational support and coordinate all Arkansas INBRE activities, and the Outreach Core will broaden opportunities for undergraduate student participation in research. The accomplishments of undergraduate researchers across the state will be showcased at an annual conference attended by all Arkansas INBRE faculty and students. The Arkansas INBRE will continue its commitment to expand opportunities for underrepresented groups, partnering with the UAMS Center for Diversity Affairs and NIH-funded Initiative for Maximizing Student Development Program to increase the numbers of underrepresented students completing graduate degrees in the biomedical sciences. Communication among INBRE participants will be facilitated by a teleconferencing network and a Social Media Hub. The Bioinformatics Core will be a statewide research and educational resource to give undergraduate faculty and students access to the computational tools needed for multidisciplinary biomedical research and will continue to play a central role in training the next generation of bioinformaticians. The Arkansas INBRE will support a Research Technology Core that will provide PUI investigators access to sophisticated instrumentation and technical expertise difficult to establish at small institutions. In collaboration with the Oklahoma INBRE, the IDeA National Resource for Proteomics will provide IDeA investigators with proteomics data and access to core personnel for data interpretation and analysis, and it will offer annual workshops focused on training with cutting-edge proteomics techniques. Through further enhancement of research infrastructure, particularly at undergraduate institutions, the Arkansas INBRE will continue to improve the ability of academic researchers to make discoveries that improve human health, increase the number of undergraduate students who choose careers in biomedical research, and stimulate the growth of biotechnical industries in Arkansas.", "keywords": [ "Achievement", "Address", "American", "Area", "Arkansas", "Baptist Church", "Bioinformatics", "Biomedical Research", "Biotechnology", "Collaborations", "Communication", "Data Analyses", "Development", "Diagnosis", "Educational workshop", "Ensure", "Extramural Activities", "Faculty", "Faculty Recruitment", "Funding", "Future", "Goals", "Graduate Degree", "Growth", "Health", "Human", "Human Resources", "Individual", "Industry", "Infrastructure", "Institution", "Interdisciplinary Study", "Lead", "Leadership", "Medical", "Mentors", "Oklahoma", "Outreach Research", "Ozarks", "Participant", "Phase", "Play", "Positioning Attribute", "Program Development", "Program Research Project Grants", "Proteomics", "Research", "Research Activity", "Research Infrastructure", "Research Personnel", "Research Support", "Resources", "Role", "Science", "Scientist", "Signal Transduction", "Students", "Technical Expertise", "Techniques", "Technology", "Training", "Underrepresented Populations", "Underrepresented Students", "United States National Institutes of Health", "Universities", "Work", "base", "biomedical scientist", "career", "career development", "college", "computerized tools", "data access", "design", "education resources", "human disease", "improved", "instrumentation", "multidisciplinary", "next generation", "novel therapeutic intervention", "outreach", "programs", "social media", "student participation", "student training", "success", "symposium", "therapy development", "undergraduate research experience", "undergraduate student" ], "approved": true } }, { "type": "Grant", "id": "6555", "attributes": { "award_id": "3P20GM103466-21S1", "title": "INBRE IV - Hawaii Statewide Research and Education Partnership (HiSREP)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 21957, "first_name": "Sheila", "last_name": "Caldwell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2001-09-30", "end_date": "2023-04-30", "award_amount": 65001, "principal_investigator": { "id": 21958, "first_name": "Robert Alan", "last_name": "Nichols", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 866, "ror": "https://ror.org/01wspgy28", "name": "University of Hawaii at Manoa", "address": "", "city": "", "state": "HI", "zip": "", "country": "United States", "approved": true }, "abstract": "The Hawaii Statewide Research and Education Partnership (HiSREP) comprises a network of nearly all of the institutions of higher learning in the state of Hawaii, specifically 4 primarily undergraduate institutions (PUIs), 1 University of Hawaii (UH) college and 4 UH community colleges under the management of the lead R1 institution, the University of Hawaii at Manoa. In the previous grant cycle, INBRE III focused on strengthening the research community and infrastructure at the partner institutions outside of the lead institution. This was accomplished through a tightly coordinated leadership team overseeing an integrated program of support for new laboratory construction under Alterations & Renovation funding, acquisition of new instrumentation, funding for junior investigator research and undergraduate student research experiences paired with outreach and multi-level mentoring. This resulted in substantial expansion of the research base, stronger student engagement leading to a near doubling in student participants, and new initiatives in career advancement. In INBRE IV, HiSREP will continue the development of emerging investigators, but will widen the reach of the network to all levels of biomedical research scientists through a new array of competitive granting mechanisms including teaching-postdoctoral fellowships, pilot projects, new initiatives and team-based collaborative grants through a Developmental Research Project Program (DRPP). Research under HiSREP will be guided by two key themes, Natural Products and Molecular Medicine, which emphasize notable strengths in the biomedical research community in Hawaii. In addition, HiSREP will support a reorganized Bioinformatics Core as a centralized resource across the state to provide education on bioinformatics, aid with research design, technical expertise including development of new informatics tools, data management and analysis. The Bioinformatics Core will promote community synergy for researchers and students through one-on-one, group, workshop, course and online interactions, the latter through a real-time research community portal. The student research program under the PATHway to Biomedical Careers will look to embrace a wider range of undergraduates by emphasizing collaborative group projects through volunteer, intern, scholar and returning researcher opportunities, including partnerships with complementary undergraduate research programs, while maintaining focus on individual career development through skill training, practical mentoring sessions, extended resources and workforce development. In addition, PATHway will develop proactive advanced training for laboratory supervisors to increase research sophistication as well as opportunity statewide, leading to increased capacity. It will also ultimately enhance undergraduate education through incorporation of research activity into the basic science curriculum. Overall, HiSREP will serve as a catalyst for advancement of the research scientist pipeline with the ultimate goal of elevating the ability of the biomedical research community to make new and important discoveries for improving health and well-being in the state of Hawaii.", "keywords": [ "Advisory Committees", "Applications Grants", "Basic Science", "Bioinformatics", "Biomedical Research", "Biometry", "Career Mobility", "Communication", "Communities", "Data", "Data Analyses", "Development", "Education", "Educational Curriculum", "Educational process of instructing", "Educational workshop", "Faculty", "Fellowship", "Funding", "Funding Mechanisms", "Funding Opportunities", "Genomics", "Goals", "Grant", "Hawaii", "Health", "Health Benefit", "Immersion", "Individual", "Infrastructure", "Institution", "Internships", "Laboratories", "Lead", "Leadership", "Learning", "Mentors", "Metagenomics", "Molecular Medicine", "National Institute of General Medical Sciences", "Natural Products", "Participant", "Pathway interactions", "Personal Satisfaction", "Pilot Projects", "Productivity", "Program Development", "Program Research Project Grants", "Proteomics", "Public Health", "Research", "Research Activity", "Research Design", "Research Infrastructure", "Research Personnel", "Research Project Grants", "Research Training", "Resource Development", "Resources", "Role", "Science", "Scientist", "Seasons", "Solid", "Structure", "Students", "Technical Expertise", "Technology", "Time", "Training", "Training Programs", "Training and Education", "Universities", "Workforce Development", "base", "bioinformatics resource", "career", "career development", "catalyst", "college", "community college", "data management", "epigenomics", "experience", "faculty mentor", "health science research", "improved", "informatics tool", "innovation", "instrumentation", "interest", "laboratory experience", "meetings", "metabolomics", "multidisciplinary", "next generation", "next generation sequencing", "outreach", "outreach program", "programs", "recruit", "research and development", "skills training", "student participation", "synergism", "transcriptomics", "undergraduate education", "undergraduate research experience", "undergraduate student", "volunteer" ], "approved": true } }, { "type": "Grant", "id": "6580", "attributes": { "award_id": "5P20GM103446-21", "title": "Delaware INBRE", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 22040, "first_name": "KRISHAN", "last_name": "ARORA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2001-09-30", "end_date": "2024-04-30", "award_amount": 4053243, "principal_investigator": { "id": 22041, "first_name": "MELINDA K", "last_name": "DUNCAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 442, "ror": "https://ror.org/01sbq1a82", "name": "University of Delaware", "address": "", "city": "", "state": "DE", "zip": "", "country": "United States", "approved": true }, "abstract": "– Overall The overall mission of the Delaware INBRE (DE-INBRE) program is to further grow a collaborative, multidisciplinary biomedical research network in Delaware that creates and supports sustainable collaborative research programs that address strategic health issues for the State, embraces diversity, and produces a positive impact on Delaware’s workforce and economy. The DE-INBRE network consists of six Partner Institutions: the lead institution, University of Delaware; three minority- serving primarily undergraduate institutions (PUIs), Delaware State University, Delaware Technical Community College, and Wesley College; and two medical institutions, Christiana Care Health System and Nemours/Alfred I. duPont Hospital for Children. Three Affiliated Institutions joined the network in 2017, including the Wilmington Veterans Affairs Medical Center, Wilmington University, and Delaware BioScience Association. The DE-INBRE’s five administrative and scientific cores provide research support and capacity building. The Administrative and Evaluation Core manages network activities with a rigorous evaluation program. A Centralized Shared Resources Core provides state-of-the-art research instrumentation and scientific expertise via a network of core facilities. A broadly engaged Bioinformatics Core supports inter-institutional research initiatives and training needs. The Education and Professional Development Core engages Delaware’s faculty, clinicians, and a diverse population of students with exceptional mentors. Finally, the Developmental Research Project Program supports Pilot Project investigators in cancer, cardiovascular, and neuroscience thematic areas. Specific Aims 1. Grow a strong and sustainable biomedical research capability in Delaware. 2. Enhance the capacity of Delaware’s biomedical research network. 3. Embrace diversity across Delaware’s biomedical research, industrial, and patient care networks. 4. Enhance the biomedical science and technology knowledge of Delaware’s workforce.", "keywords": [ "Address", "Area", "Award", "Basic Science", "Bioinformatics", "Biological Sciences", "Biomedical Research", "Brain", "Cardiovascular system", "Clinical", "Communities", "Core Facility", "Delaware", "Development", "Disease", "Economics", "Education", "Educational workshop", "Evaluation", "Faculty", "Funding", "Goals", "Grant", "Health", "Healthcare Systems", "Heart Diseases", "Industrialization", "Institution", "Knowledge", "Lead", "Malignant Neoplasms", "Medical", "Medical center", "Mentors", "Minority", "Minority Groups", "Mission", "Neurosciences", "Occupations", "Patient Care", "Pediatric Hospitals", "Peer Review", "Pilot Projects", "Population Heterogeneity", "Postdoctoral Fellow", "Program Evaluation", "Program Research Project Grants", "Publications", "Publishing", "Research", "Research Infrastructure", "Research Personnel", "Research Support", "Resource Sharing", "Risk", "Science", "Series", "Services", "Students", "Technology", "Training", "Training Activity", "Training and Education", "Translational Research", "Underrepresented Minority", "United States Department of Veterans Affairs", "Universities", "Woman", "cardiovascular health", "career", "college", "community college", "experience", "graduate student", "human capital", "improved", "improved outcome", "instrumentation", "inter-institutional", "meeting abstracts", "multidisciplinary", "programs", "student training", "symposium", "undergraduate student" ], "approved": true } }, { "type": "Grant", "id": "7402", "attributes": { "award_id": "3P30AG019610-20S1", "title": "Arizona Alzheimer's Disease Core Center", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Aging (NIA)" ], "program_reference_codes": [], "program_officials": [ { "id": 11650, "first_name": "Cerise", "last_name": "Elliott", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2001-09-30", "end_date": "2021-06-30", "award_amount": 407889, "principal_investigator": { "id": 23201, "first_name": "ERIC MICHAEL", "last_name": "REIMAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 912, "ror": "", "name": "ARIZONA STATE UNIVERSITY-TEMPE CAMPUS", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 912, "ror": "", "name": "ARIZONA STATE UNIVERSITY-TEMPE CAMPUS", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "The coronavirus SARS-CoV-2 (Covid-19 or 2019-nCoV) emerged in Wuhan, China, in late 2019 and then rapidly spread worldwide. It causes severe acute respiratory syndrome, SARS, with substantial morbidity and mortality. Little is yet known whether the CNS is involved, but other coronaviruses are known to invade the brain. There is as yet, however, no published data on the presence or neuropathological consequences of CNS SARS-CoV-2 in infected humans. This project aims to fill this important knowledge gap. The Arizona ADCC became the NIA's first statewide AD Center in 2001. Since then, it has established Clinical and Neuropathology Cores that are world-class resources of longitudinally assessed individuals, and, together with an extraordinary ancillary Brain and Body Donation Program, annually contribute on average 80 autopsied subjects. In this supplemental application we propose to conduct important studies probing the extent and consequences of SARS-CoV-2 CNS infection in an estimated 100 or more subjects coming to autopsy over an 18 month period spanning the global pandemic. The project is supported by an extremely strong, multidisciplinary team. Specific Aim 1 will determine the prevalence of CNS infection with SARS-CoV-2 in consecutive autopsies, using postmortem nasal swab, postmortem blood serology and assay of multiple brain regions for SARS-CoV-2 RNA. Specific Aim 2 will assess the gene expression effects of brain regional SARS-CoV-2 infection using RNAseq transcriptomics. Deconvolution analysis will infer gene expression changes separately for neurons, microglia, astrocytes, oligodendrocytes and endothelial cells. Hypothetical gene expression effects would include those typical for inflammatory responses, cell death and demyelination. Additionally, this analysis will put SARS-CoV-2 findings into perspective vs other microbial or viral presence as detected by their specific transcripts, reflecting past pathogen exposure history. Specific Aim 3 will determine the neuropathological correlates of the findings from Specific Aims 1 and 2, by surveying the brain for typical viral-associated histopathology including meningitis, encephalitis, microglial nodules, perivascular mononuclear cell cuffing and demyelination, and by determining with immunohistochemistry and in-situ hybridization whether specific cell types are infected. These findings may yield critical clues useful for devising diagnostic and therapeutic strategies for possible neurological manifestations of SARS-CoV-2 and the planned studies provide an unprecedented opportunity to survey the prevalence and extent of brain invasion by a novel pathogen during a worldwide pandemic.", "keywords": [ "2019-nCoV", "Acute", "Affect", "Alzheimer&apos", "s Disease", "Alzheimer&apos", "s Disease Core Center", "Amygdaloid structure", "Animal Model", "Animals", "Area", "Arizona", "Astrocytes", "Autopsy", "Biological Assay", "Blood", "Brain", "Brain Injuries", "Brain Stem", "Brain region", "COVID-19", "Cell Death", "Cell Nucleus", "Cells", "Central Nervous System Infections", "Central Nervous System Viral Diseases", "China", "Clinical", "Cognitive", "Coronavirus", "Data", "Demyelinations", "Diagnostic", "Distant", "Encephalitis", "Endothelial Cells", "Gastrointestinal tract structure", "Gene Expression", "Hematogenous", "Hippocampus (Brain)", "Histopathology", "Hour", "Human", "Immunohistochemistry", "Immunologics", "In Situ Hybridization", "Individual", "Infection", "Inflammatory Response", "Invaded", "Investigation", "Knowledge", "Leptomeninges", "Mediating", "Meningitis", "Microglia", "Middle East Respiratory Syndrome Coronavirus", "Molecular", "Mononuclear", "Morbidity - disease rate", "Mucous Membrane", "Nasopharynx", "Nerve Degeneration", "Neurologic Effect", "Neurologic Symptoms", "Neurons", "Nodule", "Nose", "Olfactory tract", "Oligodendroglia", "Peptidyl-Dipeptidase A", "Pontine structure", "Prevalence", "Publishing", "RNA", "RNA Sequences", "Recording of previous events", "Resources", "Respiratory System", "SARS coronavirus", "Serologic tests", "Serum", "Severe Acute Respiratory Syndrome", "Structure of choroid plexus", "Suggestion", "Surveys", "Swab", "Syndrome", "Testing", "Therapeutic", "Transcript", "Trigeminal Nuclei", "Vagus nerve structure", "Viral", "base", "cell type", "dorsal motor nucleus", "entorhinal cortex", "microbial", "mortality", "multidisciplinary", "neuropathology", "novel", "olfactory bulb", "pandemic disease", "pathogen", "pathogen exposure", "programs", "receptor", "transcriptome", "transcriptome sequencing", "transcriptomics", "viral RNA" ], "approved": true } }, { "type": "Grant", "id": "5545", "attributes": { "award_id": "3P20GM103474-21S1", "title": "MT INBRE: A Multidisciplinary Research Network", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 19252, "first_name": "Sheila", "last_name": "Caldwell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2001-09-25", "end_date": "2024-04-30", "award_amount": 650513, "principal_investigator": { "id": 19253, "first_name": "BRIAN P", "last_name": "BOTHNER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 987, "ror": "", "name": "MONTANA STATE UNIVERSITY - BOZEMAN", "address": "", "city": "", "state": "MT", "zip": "", "country": "United States", "approved": true }, "abstract": "MT INBRE IV has two overarching goals: 1) maintain and further develop the Montana research network and student pipeline, and 2) utilize this network to address the serious health disparities Montana's rural and Native communities face. MT INBRE IV will support and mentor investigators from research universities, primarily undergraduate institutions (PUIs), and tribal colleges (TCs) through leading edge biomedical science and best practices in Community Based Participatory Research (CBPR) to address health disparities in Montana's rural and tribal communities. We believe that Montana communities can drive research and contribute to finding solutions to mitigate the health disparities they experience. Because of the severity and pervasiveness of health disparities in our state, this emphasis will continue in MT INBRE IV, but within that focus, we will add new research areas that have emerged from MT INBRE III, including resiliency, mental health and suicide prevention, nutrition, food security/sovereignty, and metabolic diseases. By adding food security/sovereignty and nutrition to our research focus, MT INBRE IV will help to develop a holistic health approach that goes beyond treatments and drugs that alleviate symptoms. Rather, our targets will be the mechanisms of resiliency, improved mental health, and suicide prevention. These efforts will be accomplished by instituting innovative partnerships with programs and institutions in Montana and the Western IDeA Regional Network to maximize resources, collaborations, and opportunities available to Montana's researchers and students. MT INBRE IV will realize goals and research targets through four specific aims. Aim 1: Strengthen Montana's biomedical and bioinformatics infrastructure through continued development of shared facilities, research collaborations, focused working groups, and training opportunities. Aim 2: Build and increase the state's research base and capacity by providing support to faculty, postdoctoral fellows and graduate students at participating institutions. Aim 3: Provide research opportunities for students from primarily undergraduate institutions, community colleges, and minority institutions and serve as a pipeline for these students to continue in health research careers within IDeA states. Aim 4: Share established programs and infrastructure through a tristate Regional Alliance of INBRE Networks (RAIN) with Idaho, Montana and New Mexico to reduce redundancy, increase interdisciplinary research collaborations among faculty, and broaden research and education opportunities for students.", "keywords": [ "Address", "Area", "Behavioral", "Behavioral Sciences", "Bioinformatics", "Biomedical Research", "Biostatistics Core", "Brain Drains", "Charge", "Clinical", "Collaborations", "Communities", "Development", "Education", "Environment", "Environmental Health", "Face", "Faculty", "Goals", "Health", "Holistic Health", "Home", "Idaho", "Infrastructure", "Institutes", "Institution", "Interdisciplinary Study", "Mental Health", "Mentors", "Metabolic Diseases", "Minority-Serving Institution", "Montana", "Native Americans", "New Mexico", "Pharmaceutical Preparations", "Population", "Postdoctoral Fellow", "Research", "Research Personnel", "Research Project Grants", "Reservations", "Resources", "Rural", "Rural Community", "Rural Health", "Science", "Scientist", "Services", "Severities", "Social Sciences", "Students", "Suicide prevention", "Targeted Research", "United States National Institutes of Health", "Universities", "base", "bioinformatics infrastructure", "career", "college", "community based participatory research", "community college", "community engagement", "experience", "faculty mentor", "food security", "graduate student", "health disparity", "improved", "innovation", "interdisciplinary approach", "meetings", "nutrition", "programs", "reduce symptoms", "resilience", "response", "social", "success", "symposium", "training opportunity", "tribal college", "tribal community", "tribal health", "undergraduate student", "working group" ], "approved": true } }, { "type": "Grant", "id": "4938", "attributes": { "award_id": "3P20GM103395-21S4", "title": "COVID-19 transmission in Alaska: geographic and genomic modeling", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 17786, "first_name": "Sheila", "last_name": "Caldwell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2001-09-24", "end_date": "2024-07-31", "award_amount": 126175, "principal_investigator": { "id": 17787, "first_name": "BRIAN M", "last_name": "BARNES", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 751, "ror": "https://ror.org/01j7nq853", "name": "University of Alaska Fairbanks", "address": "", "city": "", "state": "AK", "zip": "", "country": "United States", "approved": true }, "abstract": "Effective modeling of epidemic transmission depends on both a mathematical description of the most important aspects of disease transmission and progression, and estimation of parameters from data. Collection of genetic sequences of SARS-CoV-2 samples throughout the COVID-19 pandemic has produced an extensive new data source to supplement more traditional public health ones. The geographical population structure in Alaska, characterized by subpopulations with well-defined interconnections, offers a unique opportunity to use such data to develop new models and parameter estimation methods. Moreover, in addition to geographic heterogeneity, the progression of pandemic has involved changes in prevalence of coronavirus variants as well as mitigation strategies, so that parameters have a temporal dependence as well. This project leverages public health and sequencing data from the coronavirus pandemic through three main modeling thrusts. A statistical model of variant spread, which captures both geographic structure and changing variant proportions will be developed and applied to the Alaskan genomic data set. Estimation of transmission rates in and between regions using phylodynamic approaches will be investigated. This includes development of a new statistical approach for rapid estimation of parameters that change through time, as well as a focused effort to study transmission patterns between subpopulations. Finally, a traditional compartment model of COVID-19 in Alaska will be developed, which captures the key geographic features affecting disease dynamics in the state. While initially fitted using public health data such as hospital incidence rates and testing results, it will then be modified to better reflect insights and estimates emerging from the first two thrusts. A goal is to promote and demonstrate improved predictive ability from incorporation of sequencing data into the modeling pipeline. Although the project focuses on modeling and data from Alaska, its methods and conclusions will be more broadly applicable. Areas exhibiting similar population structure of an urban/suburban core and smaller, largely rural regions with well-defined interconnections, are common in less developed countries, but they may lack sufficient data for effective modeling. Insights into disease dynamics arising from this structure will also improve understanding of aspects of epidemic progression in regions with more diffuse interconnections.", "keywords": [ "2019-nCoV", "Accounting", "Address", "Affect", "Air", "Alaska", "Alaska Native", "Alaskan", "American Indians", "Area", "Biological", "Birth", "COVID-19", "COVID-19 pandemic", "Censuses", "Cessation of life", "Characteristics", "Collection", "Coronavirus", "Data", "Data Analyses", "Data Collection", "Data Sources", "Dependence", "Developing Countries", "Development", "Diffuse", "Disease", "Disease Progression", "Economic Conditions", "Economics", "Epidemic", "Epidemiology", "Exhibits", "Foundations", "Future", "Genetic", "Genomics", "Geographic Locations", "Geography", "Goals", "Growth", "Heterogeneity", "Hospitalization", "Hospitals", "Household", "Incidence", "Infection", "Knowledge", "Locales", "Location", "Mathematics", "Methodology", "Methods", "Modeling", "Modernization", "Movement", "Municipalities", "Native-Born", "Pattern", "Play", "Population", "Population Density", "Prevalence", "Process", "Public Health", "Records", "Research", "Rural Population", "SARS-CoV-2 transmission", "Sampling", "Services", "Socioeconomic Factors", "Statistical Data Interpretation", "Statistical Models", "Structure", "Suburban Population", "Techniques", "Test Result", "Time", "Transportation", "Vaccination", "Variant", "Virus", "Work", "base", "data modeling", "density", "design", "disease transmission", "epidemiologic data", "epidemiological model", "genomic data", "geographic difference", "geographic population", "health data", "improved", "innovation", "insight", "large datasets", "member", "model development", "novel", "pandemic disease", "pathogen", "predictive modeling", "programs", "rural area", "suburb", "theories", "tool", "transmission process" ], "approved": true } }, { "type": "Grant", "id": "5518", "attributes": { "award_id": "3P20GM103395-20S3", "title": "Surveillance of SARS-CoV-2 in Alaska", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 19190, "first_name": "Sheila", "last_name": "Caldwell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2001-09-24", "end_date": "2024-07-31", "award_amount": 128440, "principal_investigator": { "id": 19191, "first_name": "BRIAN M", "last_name": "BARNES", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 751, "ror": "https://ror.org/01j7nq853", "name": "University of Alaska Fairbanks", "address": "", "city": "", "state": "AK", "zip": "", "country": "United States", "approved": true }, "abstract": "Project Summary: To date (3/23/21), Alaska has suffered over 58,000 cases of COVID-19, 1,318 hospitalizations, and 306 deaths. Alaska is a designated Primary Care Health Professional Shortage Area. Likely driven by health disparities, the COVID-19 fatality rate among American Indian/Alaska Native (AI/AN) residents of Alaska is nearly two times higher than the population of Alaska as a whole (71 v. 47 per 100,000; Alaska DHSS Bull. 1/29/21), a pattern observed in AI/AN population nationwide (CDC MMWR 12/11/20). Even with these challenges, Alaska has one of the lowest COVID-19 hospitalization and fatality rates overall, and one of the highest rates of COVID-19 vaccination. Sequencing of SARS-CoV-2 genomes has emerged as the key technology for analyzing spread of SARS-CoV-2 lineages, including detection of VOC that may cause more rapid spread, more severe disease, or reduce vaccine efficacy. Importantly, through early capacity-building by the Alaska DHSS Public Health Lab (PHL), in partnership with the University of Alaska and Alaska INBRE, over 500 SARS-CoV-2 genomes have been sequenced and released (GISAID), including recent cases of B.1.1.7, B.1.429, and P.1 variants of concern (VOC). Thus, it is important to understand the geographical and temporal spread of SARS-CoV-2 lineages in the state, and specifically in the AI/AN population. In response to this NIGMS NOSI, the Alaska INBRE (IDeA) program is proposing to extend the genomic surveillance for SARS-CoV-2 lineages and variants in Alaska, with a team of University of Alaska researchers (at UA-Fairbanks and UA-Anchorage), in collaboration with the Southcentral Foundation (SCF) and Alaska Native Medical Center (ANMC) AI/AN health networks, and support from other partners including the Alaska DHSS PHL and CDC Arctic Investigations. The project goals are (1) Prospective genomic sequencing of VOC and VOI in Alaska and comparison to other regions; (2) Prospective genomic sequencing of VOC/VOI in AI/AN health networks to understand COVID-19 disparities; and (3) Geographic and temporal analysis of SARS-CoV-2 in Alaska to inform epidemiological understanding. We will leverage both short-read (Illumina) and long-read (Nanopore) sequencing platforms, and bioinformatics expertise built by Alaska INBRE, to analyze SARS-CoV-2 genomes with samples provided by Alaska DHSS/PHL, and specifically in AI/AN (SCF and ANMC served) populations. Data will be released for meta-analyses to provide genomics perspective to epidemic tracing, understanding of spread of novel lineages, and impact of health disparities.", "keywords": [ "2019-nCoV", "Address", "Adult", "Alaska", "Alaska Native", "American Indians", "Archives", "Arctic Regions", "Awareness", "Back", "Bioinformatics", "Biomedical Research", "Blood Circulation", "COVID-19", "COVID-19 disparity", "COVID-19 mortality", "COVID-19 pandemic", "COVID-19 surveillance", "COVID-19 testing", "COVID-19 vaccination", "Centers for Disease Control and Prevention (U.S.)", "Cessation of life", "Collaborations", "Communication", "Data", "Detection", "Diagnostic", "Disease", "Disease Outbreaks", "Epidemic", "Epidemiology", "Evaluation", "Event", "Fatality rate", "Foundations", "Funding", "Genbank", "Genetic", "Genome", "Genomics", "Geographic Distribution", "Geographic Locations", "Geography", "Goals", "Health", "Health Personnel", "Health Services", "Hospitalization", "Investigation", "Knowledge", "Lead", "Medical center", "Meta-Analysis", "Molecular", "National Institute of General Medical Sciences", "Native-Born", "Pattern", "Performance", "Population", "Primary Health Care", "Public Domains", "Public Health", "Reporting", "Research Infrastructure", "Research Personnel", "SARS-CoV-2 B.1.1.7", "SARS-CoV-2 genome", "SARS-CoV-2 positive", "SARS-CoV-2 variant", "Sampling", "Social Work", "Specimen", "Surveillance Program", "Technology", "Time", "United Kingdom", "United States", "United States Public Health Service", "Universities", "Variant", "biological specimen archives", "coronavirus disease", "fighting", "genome sequencing", "health disparity", "health organization", "health professional shortage areas", "hospitalization rates", "innovation", "insight", "interest", "nanopore", "novel", "pandemic disease", "population based", "programs", "prospective", "response", "sample archive", "sequencing platform", "severe COVID-19", "tribal health", "vaccine efficacy", "variant detection", "variants of concern", "virology", "whole genome" ], "approved": true } }, { "type": "Grant", "id": "5705", "attributes": { "award_id": "3P20GM103443-19S2", "title": "Surveillance for the Spread of COVID-19 Variants through South Dakota", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 19683, "first_name": "Yang", "last_name": "Zhou", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2001-09-24", "end_date": "2025-08-31", "award_amount": 155569, "principal_investigator": { "id": 19684, "first_name": "BARBARA EASON", "last_name": "GOODMAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1063, "ror": "https://ror.org/0043h8f16", "name": "University of South Dakota", "address": "", "city": "", "state": "SD", "zip": "", "country": "United States", "approved": true }, "abstract": "The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the cause of the coronavirus disease 2019 (COVID-19) pandemic that has currently caused over 30 million illnesses and 550,000 deaths in the United States. Variants that show changes in transmissibility (B.1.1.7 variant) and antigenic recognition (B.1.35 and P.1 variants) have recently emerged. The impact of these variants on immune and non-immune populations remains unknown. Within South Dakota, high rates of SARS-CoV-2 infections have occurred since the start of the pandemic, resulting in extra stress on our healthcare infrastructure, especially in our medically underserved communities. In direct response to the Notice of Special Interest (NOSI): Urgent Competitive Revisions to IDeA and NARCH Programs for SARS-CoV-2 Surveillance Studies, the current supplement proposes expanding our efforts in SARS-CoV-2 surveillance. Specifically, next-generation sequencing will be conducted on the clinical samples to increase our surveillance efforts, including in the tourism-heavy western portion of South Dakota. To achieve our research goals, a subset of clinical samples collected in South Dakota will be sequenced each month. These sequences will be used to determine how the incidence of variants in South Dakota counties relates to the number of cases over time. The goal is to determine whether a particular variant is associated with outbreak events within distinct geographical locations and specific times. The resulting findings will help advance research on the spread and evolution of the SARS-CoV-2 virus in underserved communities throughout the state. These findings will provide critical information regarding circulating variants in areas of the underserved Midwest that are expected to see significant increases in tourism in the coming months.", "keywords": [ "2019-nCoV", "Bioinformatics", "COVID-19", "COVID-19 pandemic", "COVID-19 surveillance", "Cessation of life", "Cities", "Clinical", "Collaborations", "Collection", "Core Facility", "County", "Data", "Data Analyses", "Databases", "Disease Outbreaks", "Emergency response", "Epidemiologic Monitoring", "Epidemiology", "Event", "Evolution", "Future", "Genetic", "Genomics", "Geographic Locations", "Goals", "Health", "Healthcare", "Healthcare Systems", "Immune", "Immunity", "Immunology", "Incidence", "Infection", "Infrastructure", "Laboratories", "Medically Underserved Area", "Methodology", "Methods", "Midwestern United States", "Motorcycles", "Movement", "Native American Research Center for Health", "Patients", "Population", "Positioning Attribute", "RNA", "Reporting", "Research", "Risk", "SARS-CoV-2 B.1.1.7", "SARS-CoV-2 B.1.351", "SARS-CoV-2 immunity", "SARS-CoV-2 infection", "SARS-CoV-2 variant", "Safety", "Sampling", "Scientist", "Severity of illness", "Side", "Sioux Falls", "Site", "South Dakota", "Stress", "Testing", "Time", "Travel", "United States", "Universities", "Vaccination", "Variant", "Virus", "Work", "college", "experience", "interest", "medically underserved", "next generation sequencing", "pandemic disease", "programs", "public health emergency", "response", "surveillance study", "tool", "trend", "underserved area", "underserved community", "variants of concern", "viral transmission", "virology", "web based interface" ], "approved": true } } ], "meta": { "pagination": { "page": 1385, "pages": 1405, "count": 14046 } } }