Represents Grant table in the DB

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        {
            "type": "Grant",
            "id": "9892",
            "attributes": {
                "award_id": "5U01OH012275-02",
                "title": "Severity and long-term health effects of COVID-19 among World Trade Center responders",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 24208,
                        "first_name": "JAMES",
                        "last_name": "YIIN",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                    }
                ],
                "start_date": "2021-07-01",
                "end_date": "2026-06-30",
                "award_amount": 580572,
                "principal_investigator": {
                    "id": 24262,
                    "first_name": "BENJAMIN J",
                    "last_name": "LUFT",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
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                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1415,
                    "ror": "",
                    "name": "STATE UNIVERSITY NEW YORK STONY BROOK",
                    "address": "",
                    "city": "",
                    "state": "NY",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "/ ABSTRACT Since late 2019, SARS-CoV-2 virus, and a resulting, potentially deadly disease called COVID-19, have caused a global pandemic. SARS-CoV-2 primarily causes disease in lungs but can also cause gastrointestinal and neurological disease. The majority of SARS-CoV-2 infections are mild, however people of older age and people with certain pre-existing conditions are at increased risk of severe illness and death. Emerging evidence suggests that genetic factors may also contribute to COVID-19 severity. While most infections completely resolve within several weeks, some people continue experiencing COVID-19 symptoms for weeks or even months after recovering from acute illness. Of major concern is an emerging evidence that even those who recover from symptomatic COVID-19 and even those who had a mild disease, may experience serious long-term complications affecting different body organs. Some of these complications include respiratory, cardiovascular, renal, neurological, and psychiatric conditions. Importantly, many potential long-term effects of COVID-19, as well as risk factors for long-term complications, remain unknown. Men and women who worked as first responders during the tragic 9/11/2001 World Trade Center (WTC) events constitute an aging population. Toxic exposures at the WTC sites caused a disproportionally high prevalence of certain health conditions (designated as WTC-related conditions) in this population, many of which have either been identified or are hypothesized to be risk factors for severe COVID-19 disease and may increase the likelihood of developing long-term complications. New York City (NYC) area, including Long Island, suffered from a major early SARS-CoV-2 outbreak, with an estimated 19-23% of the general population being infected in NYC. Pilot data from Long Island WTC Health Program suggest that about 10% of WTC responders in this area may have been infected. This research project aims to: 1) Assess the impact of SARS-CoV-2 infection, COVID-19 disease, and mandatory social distancing measures on short- and long-term physical and mental health outcomes among WTC responders; 2) Investigate demographic, health, and occupational risk factors, as well as the impact of toxic WTC exposures on COVID-19 disease severity and negative health outcomes following SARS-CoV-2 infection, and 3) Investigate genetic risk factors for COVID-19 disease severity and negative post-COVID outcomes. We hypothesize that in this population SARS-CoV-2 infection will exacerbate incidence and progression of respiratory, cardiovascular, and mental health conditions, and that similar demographic, health, genetic, occupational, and toxic exposure factors will be associated with increased risk of severe disease and long-term complications. The results of this study will help to better understand the impact of COVID-19 on WTC responders, identify sub-populations at increased risk of negative outcomes, and inform targeted interventions to manage these risks. Some of the study findings, in particular occupational and genetic risk factors of negative COVID-19 outcomes, will have broader implications beyond WTC responder population.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "9235",
            "attributes": {
                "award_id": "5U18FD006993-02",
                "title": "Assessment of Zoonotic Risk of Emerging Infections in Companion Animals",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 24456,
                        "first_name": "Olgica",
                        "last_name": "Ceric",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-09-15",
                "end_date": "2025-08-31",
                "award_amount": 220657,
                "principal_investigator": {
                    "id": 24972,
                    "first_name": "Laura Brunengraber",
                    "last_name": "Goodman",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 279,
                            "ror": "https://ror.org/05bnh6r87",
                            "name": "Cornell University",
                            "address": "",
                            "city": "",
                            "state": "NY",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 24973,
                        "first_name": "Michael J",
                        "last_name": "Stanhope",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 279,
                    "ror": "https://ror.org/05bnh6r87",
                    "name": "Cornell University",
                    "address": "",
                    "city": "",
                    "state": "NY",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This project evaluates the zoonotic implications of two important possible pathogens of companion animals: E. coli and coronaviruses. E. coli is the most common pathogen tested for antibiotic susceptibility in veterinary diagnostic labs. It is also one of the most concerning for multi-drug resistance; several isolates captured thus far in Vet-LIRN active surveillance are predicted to be pan-resistant to all drugs used in human or animal medicine. Our group has published the first animal host specific E. coli virulence database compatible with tools that can mine whole genome sequencing data. We now propose a comparative evolutionary genomic study to assess the potential of E. coli in dogs to encode novel resistance mechanisms and cause disease in humans. The data will be explored employing the latest developments in bacterial pan- genomic analysis, as well as bacterial GWAS. Such analysis will reveal if there are E. coli loci adapted to dogs, whether such loci have the functional character suggestive of pathogenic potential, and whether dogs may be a reservoir of potential pathogenesis or antibiotic resistance.  The present outbreak of coronavirus disease caused by SARS-CoV-2 (COVID-19) is the third documented spillover of an animal coronavirus to humans to have resulted in a major epidemic, within the past two decades. Characterizing the species diversity of coronaviruses from companion animals, represents an important necessary step towards improving our understanding of virus–host interactions and to enhance our preparedness for future outbreaks. We will undertake this characterization in three different host species – horses, cats, and dogs – making use of an extensive set of time series samples (respiratory and feces) that comprise the AHDC’s collection. Sequences of coronavirus genomes will be acquired using two approaches: RNAseq of the respiratory virome and multiplexed amplicon approaches of both respiratory and feces samples; the former will allow us to identify the coronavirus species repertoire of each host, including the identification of any new coronavirus species, the latter will provide the ability to explore aspects of diversity in detail, within and between hosts. Comparative evolutionary genomic analyses of the data will inform on a wide variety of issues related to their zoonotic potential, including for example: (1) Which coronavirus species are more prone to inter-host transmission and is there a directionality to that transmission? (2) Are their host reservoirs for any of the virus species? (3) Which have a history of recombination? (4) Which have a history of molecular adaptation and what viral proteins does that involve?  Our final aim is to provide eight other Vet-LIRN sequencing laboratories with the reagents and training to be able to independently sequence and analyze bacterial and viral genomes, including SARS-CoV-2. All three Aims of this project directly support the mission of the FDA to ensure the safety of our nation's food supply and protect public health.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "9114",
            "attributes": {
                "award_id": "5U18FD007045-02",
                "title": "NEHA's Building Food Safety Regulatory Capacity Through the Development of the National Curriculum Standard and Through Educational Development, Training and Other Learning Moments",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 23480,
                        "first_name": "Deirdra",
                        "last_name": "Holloway",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-07-01",
                "end_date": "2025-06-30",
                "award_amount": 1000000,
                "principal_investigator": {
                    "id": 23481,
                    "first_name": "Rance",
                    "last_name": "Baker",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1609,
                            "ror": "",
                            "name": "NATIONAL ENVIRONMENTAL HEALTH ASSN",
                            "address": "",
                            "city": "",
                            "state": "CO",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1609,
                    "ror": "",
                    "name": "NATIONAL ENVIRONMENTAL HEALTH ASSN",
                    "address": "",
                    "city": "",
                    "state": "CO",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Since 2011, the National Environmental Health Association (NEHA) has been working on cooperative agreements with FDA and other partners to build training and certification for the integrated food safety system (IFSS) as mandated by the Food Safety Modernization Act (FSMA).  This work has created a wealth of valuable educational and training resources, including the National Curriculum Standard (NCS). The NCS is an educational roadmap that can help build food safety regulatory capacity from the entry level through leadership. Inside this map, the waypoints are the knowledge, skills, and abilities needed to achieve the public health goal of keeping the food supply safe and wholesome. There is still much work to be done in developing education and training for every aspect of the NCS in human food, animal food, and laboratory regulatory needs. NEHA will continue to bring expertise and cooperation to the table.  As this development continues to take place, there is also a need to persist in teaching today’s regulatory workforce on the scientific knowledge, tools, and techniques needed to regulate the food supply with the goal of keeping food safe. This ongoing work will continue, using online resources for the core knowledge elements, and face-to-face experiential learning that puts this knowledge into practice. NEHA will continue to be a leader in this area as we refine adult learning principles such as immersive teaching techniques, peer-to-peer learning, and kinesthetic experiences.  To complete the lifecycle of learning, NEHA will continue to measure knowledge learned through formative and summative assessments and will reach out to participants post-training to determine retention and usage of knowledge. Information gained from this and course evaluations will be used to hone the courses as part of a total quality improvement plan.  In addition, the recent COVID-19 pandemic and subsequent stay-at-home orders have made it clear that alternative education and training mechanisms must continue to be developed and refined to not just impart information, but to reach adult learners with the same intellectual impact as interactive face-to-face trainings. In fact, during the first week of April 2020, over 11,500 downloads of e-learning content occurred on the NEHA learning management system (LMS). NEHA will continue to improve the way we develop online resources and teach in a virtual environment as part of this cooperative agreement.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "9323",
            "attributes": {
                "award_id": "5U18FD007244-02",
                "title": "Vet-LIRN antimicrobial resistance surveillance through collection of AMR data and whole genome sequencing of isolates from Canadian provinces",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 24456,
                        "first_name": "Olgica",
                        "last_name": "Ceric",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-09-20",
                "end_date": "2025-08-31",
                "award_amount": 72317,
                "principal_investigator": {
                    "id": 25069,
                    "first_name": "Durda",
                    "last_name": "Slavic",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1822,
                            "ror": "https://ror.org/01r7awg59",
                            "name": "University of Guelph",
                            "address": "",
                            "city": "",
                            "state": "ON",
                            "zip": "",
                            "country": "CANADA",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1822,
                    "ror": "https://ror.org/01r7awg59",
                    "name": "University of Guelph",
                    "address": "",
                    "city": "",
                    "state": "ON",
                    "zip": "",
                    "country": "CANADA",
                    "approved": true
                },
                "abstract": "As a part of the FDA Veterinary Laboratory Information Response Network (Vet-LIRN) initiative ‘to support enhanced human and animal food safety’ Animal Health Laboratory (AHL) acquired MiSeq Illumina and was tasked to established a Canadian veterinary diagnostics laboratory unit (5 source labs and 1 WGS regional lab) to support and expand Vet-LIRN's Antimicrobial Resistance-Whole Genome Sequencing (AMR-WGS) program. This unit was established in 2018 and the program ran throughout 2019 with bacterial isolates (604), metadata and antimicrobial susceptibility results collection and whole genome sequencing (WGS) of selected isolates (270). The isolate collection slowed down in the second quarter of 2020 because of COVID-19, and also one laboratory dropped out of the program due to a staffing shortage. As a result, our objectives for this multiyear project are:  1. To recruit another source laboratory for isolate, metadata and antimicrobial susceptibility  results collection for 2021.  2. To continue established collaboration with other source laboratories by providing them  with supplies and covering quarterly shipping expenses for isolates and data collection.  3. To continue with isolates collection at AHL.  4. To increase surge capacity and capability of AHL in order to aid Vet-LIRN AMR  surveillance efforts and clinical disease investigations using harmonized methodology by:  a. Using Illumina MiSeq to do WGS of bacterial isolates following protocols  provided by Vet-LIRN.  b. Participating in proficiency testing provided by GenomeTrakr.  c. Submitting sequence information to NCBI to make them publicly available.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "11004",
            "attributes": {
                "award_id": "5U18FD007516-02",
                "title": "Detection of SARS-CoV-2 and characterization of SARS-CoV-2 S-gene in major companion and food animals",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 26272,
                        "first_name": "Megan",
                        "last_name": "Miller",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-09-15",
                "end_date": "2024-08-31",
                "award_amount": 79038,
                "principal_investigator": {
                    "id": 24457,
                    "first_name": "Jianfa",
                    "last_name": "Bai",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 197,
                            "ror": "https://ror.org/05p1j8758",
                            "name": "Kansas State University",
                            "address": "",
                            "city": "",
                            "state": "KS",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 197,
                    "ror": "https://ror.org/05p1j8758",
                    "name": "Kansas State University",
                    "address": "",
                    "city": "",
                    "state": "KS",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Project Summary: SARS-CoV-2 is a major human respiratory pathogen that can cause COVID-19, a disease with symptoms similar to those caused by Influenza A (Flu A) and Influenza B (Flu B) viruses. A few major SARS-CoV-2 variants of concern (VOC) have been identified and associated with increased transmissibility in humans, including the UK variant B.1.1.7/Alpha, South Africa variant B.1.351/Beta, Japan/Brazil variant P.1/Gamma, California variants B.1.427/B.1.429/Epsilon, and India variants B.1.6.7.1/B.1.6.7.2/Delta (CDC, 2021a). SARS-CoV-2 has also been found in different animal species, including dogs, cats, tigers, lions, minks, ferrets etc. Transmission among individuals within an animal species has been reported (Halfmann et al, 2020; OIE, 2021), as well as limited reports of animal to human transmission (Hedman et al., 2021), yet more extensive studies may be needed to draw a conclusion. Both Flu A and Flu B are major human and animal respiratory pathogens, and cause symptoms sometimes difficult to differentiate from COVID-19. This proposal has three main goals: 1) Develop and validate a multiplex real-time PCR assay for detection of SARS-CoV-2, Flu A and Flu B viruses; 2) Screening animal respiratory samples submitted to KSVDL from Months 7-30 (2 years) of the grant period; and 3) Sequencing the spike protein- encoding gene (S-gene) of all SARS-CoV-2 positive samples to identify and characterize potential variants and their relationship to human strains.  From 2018-2020, Kansas State Veterinary Diagnostic Laboratory (KSVDL) received an annual average of 11,065 animal respiratory samples, including an average of 69 feline, 491 canine, 123 equine, 1,070 swine and 9,296 bovine samples for each year. All feline and canine respiratory samples and selected samples from other species received in Months 7-30 during the grant period will be tested by the multiplex SARS-CoV-2/Flu A/Flu B assay developed in the study. S-gene sequencing of all SARS-CoV-2 positive samples will be attempted with a procedure optimized in this study and results compared to major VOC strains. Full or near-full S-gene sequences will be phylogenetically analyzed to further study the variation and genetic diversity of the SARS-CoV-2 strains identified from animal species. Analysis will also reveal if strains identified within an animal species have a closer genetic relationship than strains between species. The S-gene sequences of animal- and human-derived strains will be compared to determine if animal strains have been observed in humans. Main goals include: 1) Provide comprehensive SARS-CoV-2 positive rates, for a duration of two years, from samples collected from dogs, cats, horses, cattle and pigs; 2) Identify potential SARS-CoV-2 VOC strains from positive samples; 3) Phylogenetically analyze the S-gene from all sequenceable positive samples (Ct ≤ 32) to determine genetic diversity; 4) Identify and phylogenetically analyze similarities and differences of the S-gene of animal- and human-derived SARS-CoV-2 strains.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "14403",
            "attributes": {
                "award_id": "5U18FD007725-02",
                "title": "Implementation and Evaluation of Two SARS-CoV-2 Assays for Companion Animal Testing to Expand Vet-LIRN COVID-19 Capacity",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 26272,
                        "first_name": "Megan",
                        "last_name": "Miller",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-09-01",
                "end_date": "2024-08-31",
                "award_amount": 40625,
                "principal_investigator": {
                    "id": 26293,
                    "first_name": "Stephen Douglas",
                    "last_name": "Cole",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 26294,
                        "first_name": "Elizabeth M.",
                        "last_name": "Lennon",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 232,
                    "ror": "https://ror.org/00b30xv10",
                    "name": "University of Pennsylvania",
                    "address": "",
                    "city": "",
                    "state": "PA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a zoonotic disease that, in addition to its importance in the human pandemic, has caused spillover infection and onward spread in mink, white-tailed deer, and hamsters. New viral variants with different characteristics are constantly emerging, with different characteristics and in some cases, these variants are able to infect species of animals that were not originally susceptible. Therefore, ongoing surveillance through Vet-LIRN is essential for early recognition of spread within animals. Given that companion animals reside in 85 million US households, if SARS-CoV-2 were to gain the ability to spread amongst pets or between pets and humans, there could be immense public health consequence and consequence to wildlife populations. The objective of this proposal is to evaluate and validate novel testing methodologies including validating loop-mediated isothermal amplification (LAMP) in a variety of sample matrices in dogs and cats, and to perform rigorous evaluation of a commercially available ELISA kit. Our specific aims include: Aim 1: Assess the validity of a commercial colorimetric LAMP assay for the qualitative detection of SARS-CoV-2 RNA in 4 novel matrices collected from both dogs and cats. Aim 2: Validate a commercially available ELISA for SARS-CoV-2 antibodies in dogs and cats while building capacity to conduct SARS-CoV-2 serological testing. These aims will provide technician training, equipment, and expertise to provide capacity for SARS-CoV-2 testing in dogs and cats.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "15457",
            "attributes": {
                "award_id": "5U18HS029905-02",
                "title": "Improving Access to Multidisciplinary Care for patients with long COVID",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "Agency for Healthcare Research and Quality (AHRQ)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 28197,
                        "first_name": "Leeann",
                        "last_name": "Comfort",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2023-09-30",
                "end_date": "2028-09-29",
                "award_amount": 999195,
                "principal_investigator": {
                    "id": 28198,
                    "first_name": "Jessica Anne",
                    "last_name": "Bender",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 28199,
                        "first_name": "Janna L",
                        "last_name": "Friedly",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                    },
                    {
                        "id": 28200,
                        "first_name": "Nikki",
                        "last_name": "Gentile",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 159,
                    "ror": "https://ror.org/00cvxb145",
                    "name": "University of Washington",
                    "address": "",
                    "city": "",
                    "state": "WA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The proposed project seeks to expand the existing UW multidisciplinary long COVID clinic (the Post COVID Rehabilitation and Recovery clinic) to improve access and coordination of care for patients with long COVID. This project will allow the team to improve care delivery for all patients, but will emphasize improving access to multidisciplinary care for underserved patients including patients in rural communities, Alaska, and in Latinx, Native American, and SE Asian communities. With additional funding, we will make an enormous impact on a large region throughout WWAMI, focusing initially on Washington and Alaska, and Idaho, Montana, Wyoming in the later years. The aims of this proposed project include Aim 1: Improve clinical care delivery and expand access to the UW PCRRC. The goal of this aim is to improve access and care delivery for patients from Washington and Alaska that are referred to the Post-COVID Rehabilitation and Recovery clinic. The key areas that we will be expanding in this project include: 1) coordination of care; 2) behavioral health support; 3) vocational services; and 4) electronic consults. Aim 2: Engage underserved communities to enhance long COVID education and connection to local resources. The overall goal of our community engagement activities will be to foster authentic longitudinal relationships, promote ongoing collaborations and address the needs of community members. We will accomplish this by: 1) forming a community advisory board to guide our engagement activities; 2) producing publicly accessible educational webinars (community conversations) addressing COVID and long COVID; 3) producing culturally responsive patient education materials on long COVID in English, Spanish, and SE Asian languages; and 4) participating in community events including town hall meetings, community health fairs, pop-up vaccination events to share information about the UW long COVID clinic and long COVID. Aim 3: Improve patient access in the WWAMI region by training a network of clinicians specializing in long COVID care. In this aim, we will provide ongoing education and support to community PCPs, psychologists, and physical therapists with a focus on providers in under-resourced areas across the WWAMI region, including rural areas. We will accomplish this by: 1) In partnership with the Washington State DOH, we will create an advanced training certificate program for long COVID. 2) We will conduct monthly interactive case-based webinars. 3) We will also identify local physician and physical therapy leads who can be trained to be local experts in the care of patients with long COVID and are a part of our extended UW PCRRC network. 4) We will hold weekly virtual office hours that are pre-specified with a scheduling system to allow community providers to discuss cases and ask questions that will help them with their own management of patients with long COVID.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "15448",
            "attributes": {
                "award_id": "5U18HS029911-02",
                "title": "Advancing Long COVID Care in our Community through Access, Equity, and Collaboration",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "Agency for Healthcare Research and Quality (AHRQ)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 31564,
                        "first_name": "Latrice",
                        "last_name": "Vinson",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2023-09-30",
                "end_date": "2028-09-29",
                "award_amount": 931222,
                "principal_investigator": {
                    "id": 28180,
                    "first_name": "Abby Ling-Lee",
                    "last_name": "Cheng",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 28181,
                        "first_name": "Jonas",
                        "last_name": "Marschall",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 28182,
                        "first_name": "Amy",
                        "last_name": "McQueen",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 827,
                    "ror": "",
                    "name": "WASHINGTON UNIVERSITY",
                    "address": "",
                    "city": "",
                    "state": "MO",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Long COVID manifests differently for each person and can contribute to disabling, life-changing symptoms such as extreme fatigue, cognitive dysfunction, breathing difficulty, and autonomic dysfunction in people across the age spectrum, including in people who were previously healthy and in people who had minimal or no symptoms associated with acute COVID-19 infection. Multidisciplinary Long COVID clinics were a mainstay of patient support during the initial phases of the COVID-19 pandemic, but as the pandemic is shifting to a new phase, care models must also evolve in order to meet the complex medical, rehabilitative, and social needs of the continually growing number of people who are affected by Long COVID. The purpose of this project is to transform an existing, university-based Long COVID clinic into a broader Long COVID community network in order to expand equitable access to care, improve the patient care experience, and support primary care practitioners. This project will invest in two particularly underserved populations: 1) the Black community in St. Louis, Missouri, which is a historically mistreated population who continues to be marginalized by previously sanctioned segregation practices; and 2) rural communities across Missouri. Aim 1 is to expand equitable access to Long COVID care by: 1) building clinical capacity, and 2) removing structural barriers to care. This will be accomplished by: 1) hiring additional clinicians for the Long COVID Clinic in order to reduce wait times; and 2) removing patient requirements for clinic evaluation that disproportionately affect underserved populations. Aim 2 is to improve the Long COVID care experience by: 1) streamlining care that crosses multiple disciplines and physical care sites, and 2) supporting patients’ social needs. This will be accomplished by: 1) supporting a clinical case manager to directly assist patients with coordinating medical care and connecting with community resources, and 2) iteratively assessing and addressing referral challenges between clinics. Aim 3 is to support primary care teams as they care for patients with Long COVID by co-creating: 1) educational resources for PCPs, and 2) streamlined communication and referral pathways between PCPs and specialty clinicians. This will be accomplished by engaging multiple key stakeholders to: 1) develop multi- modality educational materials related to Long COVID patient assessment and management; 2) disseminate materials via culturally and logistically preferred approaches (including via established, trusted community intermediaries and via an established ECHO (Enhanced for Community Healthcare Outcomes) virtual educational infrastructure); and 3) refine existing handoff processes to minimize the administrative workload on PCP teams and facilitate their ability to meet patients’ needs. Continuous stakeholder input, comprehensive data tracking, and iterative needs assessments using mixed methods approaches will facilitate ongoing project evaluation and adaptation in order to respond to the community’s evolving needs.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "15460",
            "attributes": {
                "award_id": "5U18HS029930-02",
                "title": "Long COVID Care Resources and Education to Advance Community Health (REACH)",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "Agency for Healthcare Research and Quality (AHRQ)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 28323,
                        "first_name": "Marian",
                        "last_name": "James",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2023-09-30",
                "end_date": "2028-09-29",
                "award_amount": 988527,
                "principal_investigator": {
                    "id": 28324,
                    "first_name": "Hector Fabio",
                    "last_name": "Bonilla",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 28325,
                        "first_name": "Linda N",
                        "last_name": "Geng",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 28326,
                        "first_name": "UPINDER",
                        "last_name": "SINGH",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 266,
                    "ror": "https://ror.org/00f54p054",
                    "name": "Stanford University",
                    "address": "",
                    "city": "",
                    "state": "CA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Long COVID affects millions of people in the U.S. and has disproportionately impacted vulnerable populations including low-income persons and communities of color who often face barriers to healthcare access. As trusted, accessible providers, federally-qualified healthcare centers (FQHCs) are well-positioned to help mitigate inequities by providing access to Long COVID care in their medically underserved communities. We propose that a care model, Long COVID Care Resources and Education to Advance Community Health (REACH) where a centrally-coordinated, multidisciplinary Long COVID hub program that supports and partners with networks of safety-net FQHCs in the community will help expand and improve the care of vulnerable patient populations suffering from Long COVID. The Stanford Long COVID hub program is a team-based multidisciplinary clinical and research program rooted in a primary care-specialty care partnership and, together with key community partners including Community Health Center Network and San Mateo Medical Center and others, our goal is to extend the reach of this program and expand access for vulnerable patients with Long COVID through the following specific aims: AIM 1: Improve community awareness and education on Long COVID for patients and clinicians. AIM 2: Support primary care providers in partner safety-net FQHCs by creating a collaborative learning community with peer-to-peer asynchronous and real-time consultation. AIM 3: Improve Long COVID care referral coordination and access at the Stanford hub clinic. Our approach is to build upon the evidence-based and well-established Chronic Care Model (CCM) with innovative components that are adaptive and responsive to the rapidly changing landscape of Long COVID care. We will implement the tiered educational outreach and peer-to-peer primary care support strategies across partnering FQHCs with synergistic expertise from our colleagues at the Evaluation Sciences Unit, Office of Community Engagement, and Center for Continuing Medical Education. We will utilize a stepped wedge design and evaluate the model with a formative and summative mixed-methods approach guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework to assess overall project reach and impact and adapt strategies throughout the REACH project duration. As part of the cooperative, we will collaborate with AHRQ and other recipients in the Learning Community to share, incorporate, and disseminate learnings in a collective effort to support the primary care community in Long COVID education and management. Overall the goals are to expand access to comprehensive, coordinated, and person-centered care for vulnerable patients with Long COVID.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "15475",
            "attributes": {
                "award_id": "5U18HS029943-02",
                "title": "Novel Statewide Response to Post-COVID Care Delivery",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "Agency for Healthcare Research and Quality (AHRQ)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 31564,
                        "first_name": "Latrice",
                        "last_name": "Vinson",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2023-09-30",
                "end_date": "2028-09-29",
                "award_amount": 976981,
                "principal_investigator": {
                    "id": 28235,
                    "first_name": "Sarah E",
                    "last_name": "Jolley",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 22611,
                        "first_name": "DONALD E",
                        "last_name": "NEASE",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 784,
                    "ror": "https://ror.org/02hh7en24",
                    "name": "University of Colorado Denver",
                    "address": "",
                    "city": "",
                    "state": "CO",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Long COVID is an important public health threat impacting millions of individuals including 600,000 Coloradans. Current Long COVID care is highly fragmented, variable in nature, and in constant evolution. Creating a novel approach to practice support with continued education and streamlining care for high Long COVID will improve care integration and patient experience. We will implement the Colorado Multidisciplinary Translation Network (CO-MTN) comprised of integrated, multidisciplinary Long COVID care clinics and primary care clinics working together in a tiered care delivery pathway. CO-MTN creates a bidirectional translational care network for integrating expertise, education, referrals, and care between MDCs, PCPs and teams, and their patients. CO-MTN includes 1) the State of Colorado-supported Long COVID Community of Practice comprised of three geographically distributed MDCs, 2) a state-wide practice-based research network representing 280 primary care practices, known as the State Networks of Colorado Ambulatory Practices & Partners, and 3) a proven tele-education system used to provide health care practitioners specialty training, Extension for Community Healthcare Outcomes. CO-MTN includes implementation strategies to support the tiered care pathway including training and learning communities to support PCPs with improved knowledge and capacity and provide exceptional care for Colorado Long COVID patients, and practice facilitation to effectively implement the PCP care in their practice and coordinate with the MDCs. CO-MTN will help Long COVID patients in Colorado and have the potential for scaling to other states. To guide implementation and evaluation, we will utilize the Exploration, Preparation, Implementation and Sustainment dissemination and implementation framework. We will measure sustainment as continued involvement in the network during the final six months of the project period. Using qualitative, quantitative, and mixed methods, we will evaluate the Reach and Effectiveness for patients, and the Adoption, Implementation and Maintenance of the implementation strategies using the RE-AIM framework based on the following aims: Aim 1: Implement an integrated, tiered care delivery pathway with facilitated implementation support via CO-MTN and measure its effect on 1) Reach of Long COVID care to Colorado patients, specifically those described as underserved, and 2) Effectiveness on reducing Long COVID symptom burden and severity for patients engaged. Aim 2: Determine the effect of CO-MTN on 1) Adoption of the CO-MTN tiered care delivery model by primary care clinics and PCPs within these clinics, 2) Implementation of the tiered care pathway, and 3) Maintenance of the tiered care pathway key components past the active project period. Our team is comprised of national experts in Long COIVD care, practice-based research, and implementation science. Together, our multidisciplinary team will partner through CO-MTN structures and support to deliver high quality Long COVID care.",
                "keywords": [],
                "approved": true
            }
        }
    ],
    "meta": {
        "pagination": {
            "page": 1383,
            "pages": 1424,
            "count": 14236
        }
    }
}