Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1391&sort=other_investigators
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=other_investigators", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1419&sort=other_investigators", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=other_investigators", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1390&sort=other_investigators" }, "data": [ { "type": "Grant", "id": "7106", "attributes": { "award_id": "3U01CA232826-03S2", "title": "Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery models", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)" ], "program_reference_codes": [], "program_officials": [ { "id": 22901, "first_name": "Nonniekaye F", "last_name": "Shelburne", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2018-09-18", "end_date": "2023-08-31", "award_amount": 160971, "principal_investigator": { "id": 22902, "first_name": "Ophira", "last_name": "Ginsburg", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 202, "ror": "https://ror.org/03r0ha626", "name": "University of Utah", "address": "", "city": "", "state": "UT", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 22903, "first_name": "KIMBERLY A", "last_name": "KAPHINGST", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 202, "ror": "https://ror.org/03r0ha626", "name": "University of Utah", "address": "", "city": "", "state": "UT", "zip": "", "country": "United States", "approved": true }, "abstract": "SUPPLEMENT ABSTRACT This application is being submitted in response to the Notice of Special Interest (NOSI) identified as NOT-CA- 20-042. The application is a proposed administrative supplement to the University of Utah (Utah)/New York University (NYU) U01 entitled “Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery models” (U01 CA232826). The parent U01 is employing a replicable electronic health record (EHR)-based clinical decision support infrastructure to: (i) identify unaffected primary care patients who qualify for cancer genetics services based on current guidelines in the Utah and NYU healthcare systems (Aim 1); and (ii) compare two models of cancer genetics services delivery for 1,920 of these unaffected primary care patients in a randomized controlled trial (Aims 2 and 3). The parent trial will examine how race and ethnicity modify the effects of the cancer genetics services delivery models. The landscape for delivering genetics services has changed substantially due to the COVID-19 pandemic, and our pilot data suggest that patients’ uptake of cancer genetic testing and access to cancer screening has been adversely affected. This supplement would provide us with an unparalleled opportunity to investigate COVID-19 impacts in two study sites with very different pandemic contexts. We propose the following Supplemental Aims: (1) Characterize healthcare experiences related to COVID-19 among the cohort of 22,208 primary care patients identified as being at increased risk for hereditary cancer; and (2) Investigate how COVID-19 impacts primary care patients’ decisions about and utilization of cancer genetics services. To address Supplemental Aim 1, we will abstract EHR data to investigate COVID-19 diagnosis, SARS-CoV-2 testing, and delays in cancer screening in the identified cohort. Among the subset of the cohort invited to participate in the trial, we hypothesize that having been diagnosed with or hospitalized for COVID-19 or having had a cancelled cancer screening will negatively affect trial participation. We will also investigate differences in these COVID-19 experiences by study site (Utah vs. NYU) and race/ethnicity. To address Supplemental Aim 2, among participants in the parent trial, we will examine how the health, psychological, and financial impacts of COVID-19 affect decisions about and utilization of cancer genetic counseling and genetic testing using a combination of clinic records and questionnaire data. Based on pilot data, we hypothesize that those having higher self-reported health, psychological, and financial impacts of COVID-19 will be less likely to complete cancer genetic testing. We will examine how the effects of COVID-19 are modified by study site (Utah vs. NYU) and race/ethnicity. Together, the supplemental aims will allow us to build a comprehensive picture of how COVID-19 has affected participation in and outcomes of the parent trial. The proposed supplement would also allow us to examine whether COVID-19 is widening disparities in use of cancer genetics services by race and ethnicity.", "keywords": [ "2019-nCoV", "Address", "Adherence", "Administrative Supplement", "Affect", "Affective", "COVID-19", "COVID-19 pandemic", "Cancer Patient", "Categories", "Characteristics", "Clinic", "Clinical Informatics", "Cognitive", "Collection", "Communication", "Comprehension", "Computerized Medical Record", "Data", "Development", "Diagnosis", "Distress", "Effectiveness", "Electronic Health Record", "Ethnic Origin", "Evaluation", "Family", "Family history of", "Genetic Counseling", "Genetic Models", "Genetic Models for Cancer", "Genetic Risk", "Genetic Services", "Guidelines", "Health", "Health Personnel", "Healthcare", "Healthcare Systems", "Hereditary Malignant Neoplasm", "Improve Access", "Individual", "Infrastructure", "Inherited", "Malignant Neoplasms", "Minority Groups", "Modeling", "New York", "Outcome", "Parents", "Participant", "Patient Care", "Patient Self-Report", "Patient-Focused Outcomes", "Patients", "Population", "Population Sciences", "Predisposition", "Primary Health Care", "Provider", "Questionnaires", "Race", "Randomized", "Randomized Controlled Trials", "Reaction", "Recommendation", "Recording of previous events", "Records", "Regrets", "Resources", "Screening for cancer", "Service delivery model", "Site", "Subgroup", "Testing", "Translational Research", "Uncertainty", "Universities", "Utah", "base", "cancer diagnosis", "cancer genetics", "cancer prevention", "cancer risk", "care providers", "clinical care", "clinical decision support", "clinically significant", "cohort", "design", "education resources", "experience", "genetic counselor", "genetic risk assessment", "genetic testing", "hereditary risk", "implementation science", "innovation", "interest", "meetings", "negative affect", "novel", "open source", "pandemic disease", "patient portal", "patient response", "population based", "psychologic", "racial and ethnic", "randomized trial", "response", "risk perception", "rural area", "rurality", "screening", "service delivery", "standard of care", "tool", "treatment strategy", "trial design", "uptake" ], "approved": true } }, { "type": "Grant", "id": "7107", "attributes": { "award_id": "3RF1AG054442-02S6", "title": "Brain atrophy, cognitive impairment and Alzheimer's in low CVD-risk population", "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": 10682, "first_name": "DALLAS", "last_name": "ANDERSON", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2017-09-01", "end_date": "2022-08-31", "award_amount": 1035885, "principal_investigator": { "id": 22904, "first_name": "CALEB E", "last_name": "FINCH", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1546, "ror": "https://ror.org/0452jzg20", "name": "Chapman University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 22905, "first_name": "Michael Douglas", "last_name": "Gurven", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22906, "first_name": "HILLARD S", "last_name": "KAPLAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22907, "first_name": "Gregory Scott", "last_name": "Thomas", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1546, "ror": "https://ror.org/0452jzg20", "name": "Chapman University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The parent RF1 (1 RF1 AG054442-01) provides new data on brain atrophy and Alzheimer’s disease and Related Dementias (ADRD) in two indigenous Bolivian populations, the Tsimane and the Moseten, with extremely low rates of cardiovascular disease (CVD) but high burdens of infection and inflammation. The aims of this project are: (1) Longitudinal assessment of cognitive impairment and dementia in a low cardiovascular disease (CVD) risk population, Tsimane forager-horticulturalists of lowland Bolivia; (2) Neuroimaging to identify brain atrophy correlates of cognitive impairment, AD and other dementias; (3) Characterization of the prevalence of brain atrophy, cognitive impairment, and dementias in the Tsimane; (4) Collect in- depth data on diet and physical activity; and (5) Examine the interaction of inflammation and APOE genotype on cognitive functioning for individual longitudinal change. ADRD prevalence was estimated during the first 2.5 years of NIA funding. Current results indicate a low prevalence (<5%) of dementia after age 70 with no cases of moderate to severe dementia. The two specific aims of this administrative supplement will determine: (1) whether cognitive impairment and dementia are risk factors for SARS-CoV-2 infection and/or morbidity and mortality, if infected; and (2) if Covid-19 results cognitive and neurological aging impairment. The first aim is necessary for interpreting existing data and achieving the original project goals. it is necessary to determine whether those who develop cognitive impairment dementia are at greater risk for COVID-19 mortality in order to control for a potential downward bias in the estimation of dementia incidence. The second aim presents a new unique opportunity to investigate the original project goal of studying impacts of infection on cognitive decline and ADRD. It will evaluate the impact of COVID-19 infection on cognitive function and ADRD incidence.", "keywords": [ "2019-nCoV", "Administrative Supplement", "Age", "Aging", "Alzheimer&apos", "s Disease", "Alzheimer&apos", "s disease related dementia", "Bolivia", "Bolivian", "COVID-19", "COVID-19 pandemic", "Cardiovascular Diseases", "Cognitive", "Data", "Dementia", "Diet", "Disease", "Elderly", "Epidemic", "Funding", "Genotype", "Goals", "Impaired cognition", "Impairment", "Incidence", "Indigenous", "Individual", "Infection", "Inflammation", "Light", "Longevity", "Low Prevalence", "Morbidity - disease rate", "Neurologic", "Parents", "Phase", "Physical activity", "Population", "Prevalence", "Research", "Risk", "Virus Diseases", "cardiovascular disorder risk", "cerebral atrophy", "cognitive function", "cognitive testing", "dementia risk", "infection burden", "inflammatory marker", "mortality", "neuroimaging" ], "approved": true } }, { "type": "Grant", "id": "7107", "attributes": { "award_id": "3RF1AG054442-02S6", "title": "Brain atrophy, cognitive impairment and Alzheimer's in low CVD-risk population", "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": 10682, "first_name": "DALLAS", "last_name": "ANDERSON", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2017-09-01", "end_date": "2022-08-31", "award_amount": 1035885, "principal_investigator": { "id": 22904, "first_name": "CALEB E", "last_name": "FINCH", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1546, "ror": "https://ror.org/0452jzg20", "name": "Chapman University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 22905, "first_name": "Michael Douglas", "last_name": "Gurven", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22906, "first_name": "HILLARD S", "last_name": "KAPLAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22907, "first_name": "Gregory Scott", "last_name": "Thomas", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1546, "ror": "https://ror.org/0452jzg20", "name": "Chapman University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The parent RF1 (1 RF1 AG054442-01) provides new data on brain atrophy and Alzheimer’s disease and Related Dementias (ADRD) in two indigenous Bolivian populations, the Tsimane and the Moseten, with extremely low rates of cardiovascular disease (CVD) but high burdens of infection and inflammation. The aims of this project are: (1) Longitudinal assessment of cognitive impairment and dementia in a low cardiovascular disease (CVD) risk population, Tsimane forager-horticulturalists of lowland Bolivia; (2) Neuroimaging to identify brain atrophy correlates of cognitive impairment, AD and other dementias; (3) Characterization of the prevalence of brain atrophy, cognitive impairment, and dementias in the Tsimane; (4) Collect in- depth data on diet and physical activity; and (5) Examine the interaction of inflammation and APOE genotype on cognitive functioning for individual longitudinal change. ADRD prevalence was estimated during the first 2.5 years of NIA funding. Current results indicate a low prevalence (<5%) of dementia after age 70 with no cases of moderate to severe dementia. The two specific aims of this administrative supplement will determine: (1) whether cognitive impairment and dementia are risk factors for SARS-CoV-2 infection and/or morbidity and mortality, if infected; and (2) if Covid-19 results cognitive and neurological aging impairment. The first aim is necessary for interpreting existing data and achieving the original project goals. it is necessary to determine whether those who develop cognitive impairment dementia are at greater risk for COVID-19 mortality in order to control for a potential downward bias in the estimation of dementia incidence. The second aim presents a new unique opportunity to investigate the original project goal of studying impacts of infection on cognitive decline and ADRD. It will evaluate the impact of COVID-19 infection on cognitive function and ADRD incidence.", "keywords": [ "2019-nCoV", "Administrative Supplement", "Age", "Aging", "Alzheimer&apos", "s Disease", "Alzheimer&apos", "s disease related dementia", "Bolivia", "Bolivian", "COVID-19", "COVID-19 pandemic", "Cardiovascular Diseases", "Cognitive", "Data", "Dementia", "Diet", "Disease", "Elderly", "Epidemic", "Funding", "Genotype", "Goals", "Impaired cognition", "Impairment", "Incidence", "Indigenous", "Individual", "Infection", "Inflammation", "Light", "Longevity", "Low Prevalence", "Morbidity - disease rate", "Neurologic", "Parents", "Phase", "Physical activity", "Population", "Prevalence", "Research", "Risk", "Virus Diseases", "cardiovascular disorder risk", "cerebral atrophy", "cognitive function", "cognitive testing", "dementia risk", "infection burden", "inflammatory marker", "mortality", "neuroimaging" ], "approved": true } }, { "type": "Grant", "id": "7107", "attributes": { "award_id": "3RF1AG054442-02S6", "title": "Brain atrophy, cognitive impairment and Alzheimer's in low CVD-risk population", "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": 10682, "first_name": "DALLAS", "last_name": "ANDERSON", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2017-09-01", "end_date": "2022-08-31", "award_amount": 1035885, "principal_investigator": { "id": 22904, "first_name": "CALEB E", "last_name": "FINCH", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1546, "ror": "https://ror.org/0452jzg20", "name": "Chapman University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 22905, "first_name": "Michael Douglas", "last_name": "Gurven", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22906, "first_name": "HILLARD S", "last_name": "KAPLAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22907, "first_name": "Gregory Scott", "last_name": "Thomas", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1546, "ror": "https://ror.org/0452jzg20", "name": "Chapman University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The parent RF1 (1 RF1 AG054442-01) provides new data on brain atrophy and Alzheimer’s disease and Related Dementias (ADRD) in two indigenous Bolivian populations, the Tsimane and the Moseten, with extremely low rates of cardiovascular disease (CVD) but high burdens of infection and inflammation. The aims of this project are: (1) Longitudinal assessment of cognitive impairment and dementia in a low cardiovascular disease (CVD) risk population, Tsimane forager-horticulturalists of lowland Bolivia; (2) Neuroimaging to identify brain atrophy correlates of cognitive impairment, AD and other dementias; (3) Characterization of the prevalence of brain atrophy, cognitive impairment, and dementias in the Tsimane; (4) Collect in- depth data on diet and physical activity; and (5) Examine the interaction of inflammation and APOE genotype on cognitive functioning for individual longitudinal change. ADRD prevalence was estimated during the first 2.5 years of NIA funding. Current results indicate a low prevalence (<5%) of dementia after age 70 with no cases of moderate to severe dementia. The two specific aims of this administrative supplement will determine: (1) whether cognitive impairment and dementia are risk factors for SARS-CoV-2 infection and/or morbidity and mortality, if infected; and (2) if Covid-19 results cognitive and neurological aging impairment. The first aim is necessary for interpreting existing data and achieving the original project goals. it is necessary to determine whether those who develop cognitive impairment dementia are at greater risk for COVID-19 mortality in order to control for a potential downward bias in the estimation of dementia incidence. The second aim presents a new unique opportunity to investigate the original project goal of studying impacts of infection on cognitive decline and ADRD. It will evaluate the impact of COVID-19 infection on cognitive function and ADRD incidence.", "keywords": [ "2019-nCoV", "Administrative Supplement", "Age", "Aging", "Alzheimer&apos", "s Disease", "Alzheimer&apos", "s disease related dementia", "Bolivia", "Bolivian", "COVID-19", "COVID-19 pandemic", "Cardiovascular Diseases", "Cognitive", "Data", "Dementia", "Diet", "Disease", "Elderly", "Epidemic", "Funding", "Genotype", "Goals", "Impaired cognition", "Impairment", "Incidence", "Indigenous", "Individual", "Infection", "Inflammation", "Light", "Longevity", "Low Prevalence", "Morbidity - disease rate", "Neurologic", "Parents", "Phase", "Physical activity", "Population", "Prevalence", "Research", "Risk", "Virus Diseases", "cardiovascular disorder risk", "cerebral atrophy", "cognitive function", "cognitive testing", "dementia risk", "infection burden", "inflammatory marker", "mortality", "neuroimaging" ], "approved": true } }, { "type": "Grant", "id": "7112", "attributes": { "award_id": "3U01HG008685-05S1", "title": "Finding Genomic Profiles of COVID-19 Phenotypes from the EHR", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Human Genome Research Institute (NHGRI)" ], "program_reference_codes": [], "program_officials": [ { "id": 21484, "first_name": "KENNETH L", "last_name": "WILEY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-22", "end_date": "2025-04-30", "award_amount": 401928, "principal_investigator": { "id": 6443, "first_name": "ELIZABETH W", "last_name": "KARLSON", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 891, "ror": "https://ror.org/04b6nzv94", "name": "Brigham and Women's Hospital", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 6444, "first_name": "SHAWN N", "last_name": "MURPHY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22910, "first_name": "JORDAN W", "last_name": "SMOLLER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22911, "first_name": "SCOTT T", "last_name": "WEISS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 891, "ror": "https://ror.org/04b6nzv94", "name": "Brigham and Women's Hospital", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "Abstract: As the world searches for effective treatments and potential cures for the COVID-19 pandemic, the ability to consolidate data, insights, and expertise from many disparate sources will be key to fully understanding the patient outcomes of the infection. Key to facilitating this type of research is a cohesive and secure research environment that enables clinicians, researchers, data scientists, and technologists from multiple organizations to work together with a common goal of better understanding COVID-19 symptoms, associated risk factors, and successful therapies. Building upon faculty, staff and infrastructure already in place through the eMERGE IV Clinical Center at Mass General Brigham, we are proposing the creation of a COVID- 19 Biobank Portal to provide a foundation for building a truly collaborative environment that is compliant with patient privacy and offers a common set of bioinformatic tools and a standardized IT approach for the staging of data and analyses. We will do this by accomplishing the following three Specific Aims which supplement the parent grant’s Aim I which is: “Polygenic risks scores will allow us to stratify eMERGE participants based on genetic risk for common complex traits” which will focus in this supplement on risk factors for severity of COVID-19 illness in our biobank participants. We propose to build on our expertise to accomplish the specific aims: Aim 1: We will create a COVID-19 Centric Biobank Portal that allows general institutional use with proper research agreements in place where patient cohorts can be studied using easily assessable and transformed data and through which genomic samples can be obtained. Aim 2: Supplement the COVID-19 Biobank Portal with test results, phenotype risk factors, symptoms, and outcomes for COVID-19 which are derived from data in the electronic health record (EHR) by using natural language processing and computational phenotypes and by performing chart reviews to validate severity indices and clinical outcomes found in COVID-19 infected patients. Aim 3: Genetic data (array and sequence data) will be contributed to the eMERGE IV network and to the International l COVID-19 Host Genetics Initiative (https://covid19hg.org) such that data can be used to calculate polygenic risk scores (PRS) for genome-wide association studies of risk phenotypes and patient outcomes and polygenic risk scores (PRS) for COVID-19 outcomes in our dataset and in collaborations with others.", "keywords": [ "Agreement", "COVID-19", "COVID-19 pandemic", "Clinical", "Collaborations", "Complex", "Data", "Data Analyses", "Data Scientist", "Data Set", "Electronic Health Record", "Environment", "Faculty", "Foundations", "Genetic", "Genetic Risk", "Genomics", "Genotype", "Goals", "Infection", "Infrastructure", "International", "Natural Language Processing", "Outcome", "Participant", "Patient-Focused Outcomes", "Patients", "Phenotype", "Research", "Research Personnel", "Risk", "Risk Factors", "Sampling", "Secure", "Severities", "Source", "Staging", "Standardization", "Symptoms", "Test Result", "Work", "base", "biobank", "bioinformatics tool", "clinical center", "cohesion", "cohort", "collaborative environment", "effective therapy", "genome wide association study", "genomic data", "genomic profiles", "indexing", "insight", "parent grant", "patient privacy", "polygenic risk score", "research clinical testing", "trait" ], "approved": true } }, { "type": "Grant", "id": "7113", "attributes": { "award_id": "3U01HG008685-05S2", "title": "eMERGE Phase IV Clinical Center at Partners HealthCare", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 21484, "first_name": "KENNETH L", "last_name": "WILEY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-08-06", "end_date": "2025-04-30", "award_amount": 883131, "principal_investigator": { "id": 6443, "first_name": "ELIZABETH W", "last_name": "KARLSON", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 891, "ror": "https://ror.org/04b6nzv94", "name": "Brigham and Women's Hospital", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 6444, "first_name": "SHAWN N", "last_name": "MURPHY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22910, "first_name": "JORDAN W", "last_name": "SMOLLER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22911, "first_name": "SCOTT T", "last_name": "WEISS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 891, "ror": "https://ror.org/04b6nzv94", "name": "Brigham and Women's Hospital", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "The Coronavirus Disease 2019 (COVID-19) pandemic has caught the world off guard, reshaping ways of life, the economy, and healthcare delivery. Data in electronic health records (EHRs) should be widely available to study COVID-19 but have not yet been effectively shared across clinical sites, with public health agencies, or with policy makers. There are several large, national and international projects to build informatics infrastructure to analyze the EHR data of patients with COVID-19. However, aggregating data from multiple EHRs only works if you can trust the final results. This means being able to go back to each site and talk to the people who know the data best, to understand the local clinical guidelines, coding practices, data quality problems, and other factors that affect the data. In March, 2020, we launched an international effort called the Consortium for Clinical Characterization of COVID-19 by EHR (4CE). It brings together more than 100 informatics experts, statisticians, and ICU doctors from around the world. The novel aspect of 4CE is that we recognize the complexities of EHR data and the need to directly involve the local data experts, not only in the data collection, but also in the development of research questions and the data analyses. We try to move fast, believing that early intelligence is worth more than complete intelligence later. To do this, we avoid roadblocks that typically slow down informatics projects, such as building or installing new software, or the regulatory hurdles involved in sharing patient-level data. Instead, we ask participating sites to run analyses locally, using simple existing tools, like SQL, R, and Python scripts, and only share aggregate counts and statistics centrally with the rest of the 4CE consortium. We review and validate the data as a group, identify and fix data quality problems, and ask sites to repeat the analyses until everything is right. Through multiple cycles of data verification, we iteratively clean up the data and gain confidence that the findings we are seeing are real. Because we can do this quickly, we go from research question to results in just a few weeks. This proposed project will “productize” the 4CE approach, through three Specific Aims: (1) Transition 4CE to “Phase 2”, where sites will begin more complex local analyses. We will develop Phase 2 analysis scripts; update our data upload, validation, and visualization websites; and, test the Phase 2 scripts at three sites before expanding to the rest of the consortium. (2) Demonstrate and evaluate 4CE through two use cases. We will refine and validate an algorithm for identifying COVID-19 patients with “severe” disease and use 4CE to characterize central nervous system complications in COVID-19. (3) Develop a plan for integrating with complementary efforts and long-term sustainability. As part of this, we will create a guide that shows sites how to use 4CE data extracts and quality checks to support other COVID-19 informatics projects, including the generation of OMOP files.", "keywords": [ "Address", "Affect", "Algorithms", "Back", "COVID-19", "COVID-19 pandemic", "Clinical", "Code", "Complex", "Computer software", "Data", "Data Aggregation", "Data Analyses", "Data Collection", "Disease", "Electronic Health Record", "Generations", "Guidelines", "Healthcare", "Hospitals", "Informatics", "Intelligence", "International", "Life", "Neuraxis", "Patients", "Phase", "Policy Maker", "Public Health", "Pythons", "Research", "Rest", "Running", "Site", "Trust", "Update", "Validation", "Visualization", "Work", "clinical center", "clinical research site", "data quality", "data visualization", "health care delivery", "informatics infrastructure", "novel", "phase 2 testing", "research and development", "statistics", "tool", "web site" ], "approved": true } }, { "type": "Grant", "id": "12227", "attributes": { "award_id": "1RF1MH134638-01", "title": "International evaluation of modifiable social determinants of health on COVID-related mental health outcomes", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Mental Health (NIMH)" ], "program_reference_codes": [], "program_officials": [ { "id": 25615, "first_name": "Leonardo", "last_name": "Cubillos", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-08-02", "end_date": "2026-07-31", "award_amount": 3155102, "principal_investigator": { "id": 28097, "first_name": "Sarah Diana", "last_name": "Bauermeister", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 22910, "first_name": "JORDAN W", "last_name": "SMOLLER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 28098, "first_name": "André Russowsky", "last_name": "Brunoni", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 736, "ror": "https://ror.org/002pd6e78", "name": "Massachusetts General Hospital", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "A substantial body of research suggests that the COVID-19 pandemic has contributed to a rising incidence of mental health issues, irrespective of prior history of psychiatric diagnosis. One important driver of this phenomenon appears to be social isolation and loneliness induced by governmental policy responses such as social distancing recommendations, stay-at-home orders, and restrictions on travel. However, results thus far have been mixed across cohorts and geographic regions, and the social and individual factors underlying these differences remain poorly understood. Moreover, existing efforts have largely focused on high-income countries (HIC), which may not generalize to understudied low- and middle-income countries (LMIC), regions most impacted by the pandemic and where 85% of the world population lives. A key opportunity for mitigating future mental health impacts and increasing representation of marginalized groups in COVID-19 mental health research is to leverage individual-level longitudinal data harmonized across existing cohorts to develop a well-powered, large, global evaluation of pandemic-related mental health outcomes. Our proposal capitalizes on existing large international cohorts, establishing a COVID Global Mental Health Consortium (CGMHC) to increase our understanding of the modifiable social and individual risk factors predicting poor mental health in response to the pandemic, and to build an infrastructure to answer broader questions about the local and global determinants of COVID-19 related psychiatric outcomes, ultimately informing public policy, intervention, and prevention strategies. To accomplish this, we will integrate: (1) data from 23 international cohorts comprising mental health, sociodemographic, and social determinants of health (SDoH) from nearly 2.8 million individuals with pre- and post-pandemic assessments; (2) a novel target trial emulation framework to facilitate causal inference about the impact of specific pandemic policy strategies on mental health outcomes; and (3) recent advances in time-series modeling and novel risk prediction methods to understand the heterogeneity of mental health outcomes in response to social restrictions across a diverse range of countries. Our specific aims are to: (1) assemble longitudinal data across global cohorts, harmonizing data for downstream analyses and develop a data visualization platform for the scientific community; (2) characterize pandemic mental health trajectories along with their moderators and evaluate the evidence for a causal impact of social containment policies on psychiatric outcomes. (3) establish and formalize the CGMHC for continued research on the impact of the COVID-19 pandemic on global mental health and SDoH. Successful completion of these aims would provide a unique large-scale global cohort resource for the investigation of COVID-related mental health outcomes, inform intervention and policy strategies to mitigate future adverse impacts, and create an ongoing engine (the CGMHC) for collaborative research that can be sustained through future funding.", "keywords": [ "Address", "Anxiety", "Attention", "COVID-19", "COVID-19 pandemic", "COVID-19 pandemic effects", "Cohort Analysis", "Communities", "Containment", "Country", "Data", "Data Set", "Dementia", "Directories", "Evaluation", "Funding", "Future", "Geographic Locations", "Health", "Heterogeneity", "Impaired cognition", "Incidence", "Income", "Individual", "Infrastructure", "International", "Interruption", "Intervention", "Investigation", "Joints", "Knowledge", "Loneliness", "Measures", "Mental Depression", "Mental Health", "Mental disorders", "Methods", "Modeling", "National Institute of Mental Health", "Ontology", "Outcome", "Participant", "Policies", "Population", "Predictive Factor", "Prevention strategy", "Psychiatric Diagnosis", "Psychological Factors", "Public Health", "Public Policy", "Recommendation", "Recording of previous events", "Research", "Research Personnel", "Research Project Grants", "Resources", "Risk", "Risk Factors", "Role", "Series", "Social Distance", "Social isolation", "Time", "Time trend", "Travel", "Unemployment", "Variant", "Visualization software", "cohort", "coronavirus disease", "data harmonization", "data resource", "data standards", "data visualization", "experience", "global health", "health care availability", "health data", "health disparity", "low and middle-income countries", "marginalized population", "mortality", "novel", "pandemic disease", "pandemic impact", "post-pandemic", "pre-pandemic", "psychiatric symptom", "randomized trial", "resilience", "resilience factor", "response", "risk prediction", "social", "social factors", "social health determinants", "social influence", "sociodemographics", "stay-at-home order", "substance use", "suicidal", "tool", "trend", "working group" ], "approved": true } }, { "type": "Grant", "id": "7112", "attributes": { "award_id": "3U01HG008685-05S1", "title": "Finding Genomic Profiles of COVID-19 Phenotypes from the EHR", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Human Genome Research Institute (NHGRI)" ], "program_reference_codes": [], "program_officials": [ { "id": 21484, "first_name": "KENNETH L", "last_name": "WILEY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-22", "end_date": "2025-04-30", "award_amount": 401928, "principal_investigator": { "id": 6443, "first_name": "ELIZABETH W", "last_name": "KARLSON", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 891, "ror": "https://ror.org/04b6nzv94", "name": "Brigham and Women's Hospital", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 6444, "first_name": "SHAWN N", "last_name": "MURPHY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22910, "first_name": "JORDAN W", "last_name": "SMOLLER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22911, "first_name": "SCOTT T", "last_name": "WEISS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 891, "ror": "https://ror.org/04b6nzv94", "name": "Brigham and Women's Hospital", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "Abstract: As the world searches for effective treatments and potential cures for the COVID-19 pandemic, the ability to consolidate data, insights, and expertise from many disparate sources will be key to fully understanding the patient outcomes of the infection. Key to facilitating this type of research is a cohesive and secure research environment that enables clinicians, researchers, data scientists, and technologists from multiple organizations to work together with a common goal of better understanding COVID-19 symptoms, associated risk factors, and successful therapies. Building upon faculty, staff and infrastructure already in place through the eMERGE IV Clinical Center at Mass General Brigham, we are proposing the creation of a COVID- 19 Biobank Portal to provide a foundation for building a truly collaborative environment that is compliant with patient privacy and offers a common set of bioinformatic tools and a standardized IT approach for the staging of data and analyses. We will do this by accomplishing the following three Specific Aims which supplement the parent grant’s Aim I which is: “Polygenic risks scores will allow us to stratify eMERGE participants based on genetic risk for common complex traits” which will focus in this supplement on risk factors for severity of COVID-19 illness in our biobank participants. We propose to build on our expertise to accomplish the specific aims: Aim 1: We will create a COVID-19 Centric Biobank Portal that allows general institutional use with proper research agreements in place where patient cohorts can be studied using easily assessable and transformed data and through which genomic samples can be obtained. Aim 2: Supplement the COVID-19 Biobank Portal with test results, phenotype risk factors, symptoms, and outcomes for COVID-19 which are derived from data in the electronic health record (EHR) by using natural language processing and computational phenotypes and by performing chart reviews to validate severity indices and clinical outcomes found in COVID-19 infected patients. Aim 3: Genetic data (array and sequence data) will be contributed to the eMERGE IV network and to the International l COVID-19 Host Genetics Initiative (https://covid19hg.org) such that data can be used to calculate polygenic risk scores (PRS) for genome-wide association studies of risk phenotypes and patient outcomes and polygenic risk scores (PRS) for COVID-19 outcomes in our dataset and in collaborations with others.", "keywords": [ "Agreement", "COVID-19", "COVID-19 pandemic", "Clinical", "Collaborations", "Complex", "Data", "Data Analyses", "Data Scientist", "Data Set", "Electronic Health Record", "Environment", "Faculty", "Foundations", "Genetic", "Genetic Risk", "Genomics", "Genotype", "Goals", "Infection", "Infrastructure", "International", "Natural Language Processing", "Outcome", "Participant", "Patient-Focused Outcomes", "Patients", "Phenotype", "Research", "Research Personnel", "Risk", "Risk Factors", "Sampling", "Secure", "Severities", "Source", "Staging", "Standardization", "Symptoms", "Test Result", "Work", "base", "biobank", "bioinformatics tool", "clinical center", "cohesion", "cohort", "collaborative environment", "effective therapy", "genome wide association study", "genomic data", "genomic profiles", "indexing", "insight", "parent grant", "patient privacy", "polygenic risk score", "research clinical testing", "trait" ], "approved": true } }, { "type": "Grant", "id": "7113", "attributes": { "award_id": "3U01HG008685-05S2", "title": "eMERGE Phase IV Clinical Center at Partners HealthCare", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 21484, "first_name": "KENNETH L", "last_name": "WILEY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-08-06", "end_date": "2025-04-30", "award_amount": 883131, "principal_investigator": { "id": 6443, "first_name": "ELIZABETH W", "last_name": "KARLSON", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 891, "ror": "https://ror.org/04b6nzv94", "name": "Brigham and Women's Hospital", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 6444, "first_name": "SHAWN N", "last_name": "MURPHY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22910, "first_name": "JORDAN W", "last_name": "SMOLLER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22911, "first_name": "SCOTT T", "last_name": "WEISS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 891, "ror": "https://ror.org/04b6nzv94", "name": "Brigham and Women's Hospital", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "The Coronavirus Disease 2019 (COVID-19) pandemic has caught the world off guard, reshaping ways of life, the economy, and healthcare delivery. Data in electronic health records (EHRs) should be widely available to study COVID-19 but have not yet been effectively shared across clinical sites, with public health agencies, or with policy makers. There are several large, national and international projects to build informatics infrastructure to analyze the EHR data of patients with COVID-19. However, aggregating data from multiple EHRs only works if you can trust the final results. This means being able to go back to each site and talk to the people who know the data best, to understand the local clinical guidelines, coding practices, data quality problems, and other factors that affect the data. In March, 2020, we launched an international effort called the Consortium for Clinical Characterization of COVID-19 by EHR (4CE). It brings together more than 100 informatics experts, statisticians, and ICU doctors from around the world. The novel aspect of 4CE is that we recognize the complexities of EHR data and the need to directly involve the local data experts, not only in the data collection, but also in the development of research questions and the data analyses. We try to move fast, believing that early intelligence is worth more than complete intelligence later. To do this, we avoid roadblocks that typically slow down informatics projects, such as building or installing new software, or the regulatory hurdles involved in sharing patient-level data. Instead, we ask participating sites to run analyses locally, using simple existing tools, like SQL, R, and Python scripts, and only share aggregate counts and statistics centrally with the rest of the 4CE consortium. We review and validate the data as a group, identify and fix data quality problems, and ask sites to repeat the analyses until everything is right. Through multiple cycles of data verification, we iteratively clean up the data and gain confidence that the findings we are seeing are real. Because we can do this quickly, we go from research question to results in just a few weeks. This proposed project will “productize” the 4CE approach, through three Specific Aims: (1) Transition 4CE to “Phase 2”, where sites will begin more complex local analyses. We will develop Phase 2 analysis scripts; update our data upload, validation, and visualization websites; and, test the Phase 2 scripts at three sites before expanding to the rest of the consortium. (2) Demonstrate and evaluate 4CE through two use cases. We will refine and validate an algorithm for identifying COVID-19 patients with “severe” disease and use 4CE to characterize central nervous system complications in COVID-19. (3) Develop a plan for integrating with complementary efforts and long-term sustainability. As part of this, we will create a guide that shows sites how to use 4CE data extracts and quality checks to support other COVID-19 informatics projects, including the generation of OMOP files.", "keywords": [ "Address", "Affect", "Algorithms", "Back", "COVID-19", "COVID-19 pandemic", "Clinical", "Code", "Complex", "Computer software", "Data", "Data Aggregation", "Data Analyses", "Data Collection", "Disease", "Electronic Health Record", "Generations", "Guidelines", "Healthcare", "Hospitals", "Informatics", "Intelligence", "International", "Life", "Neuraxis", "Patients", "Phase", "Policy Maker", "Public Health", "Pythons", "Research", "Rest", "Running", "Site", "Trust", "Update", "Validation", "Visualization", "Work", "clinical center", "clinical research site", "data quality", "data visualization", "health care delivery", "informatics infrastructure", "novel", "phase 2 testing", "research and development", "statistics", "tool", "web site" ], "approved": true } }, { "type": "Grant", "id": "7115", "attributes": { "award_id": "3UH3OD023271-05S1", "title": "Prenatal and Early Childhood Pathways To Health: An Integrated Model of Chemical and Social", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 10604, "first_name": "SUSAN ALISON", "last_name": "Laessig", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-09-21", "end_date": "2021-08-31", "award_amount": 294760, "principal_investigator": { "id": 22912, "first_name": "Nicole Renee", "last_name": "Bush", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 22912, "first_name": "Nicole Renee", "last_name": "Bush", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true } ] }, { "id": 22913, "first_name": "CATHERINE J", "last_name": "KARR", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22914, "first_name": "Kaja Zabrina", "last_name": "LeWinn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22915, "first_name": "Sheela", "last_name": "Sathyanarayana", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 22916, "first_name": "FRANCES A", "last_name": "TYLAVSKY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "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": "Children are inherently shaped by the environment in which the live, learn, and play. This proposal to study the impact of SARS-CoV-2 (COVID-19) virus outbreak on children’s development brings together a multidisciplinary team of investigators across the country from 6 ECHO Awards, representing 5 cohorts of ~2500 middle childhood and adolescent youth and the Person-Reported Outcome (PRO) Core). The proposed research develops and tests a novel conceptual model that casts family and community sociodemographic risk as important factors that shape COVID-19 related school, family, and child hardships and resources that influence child positive health. We propose that school resources (e.g., type and quality of distance learning), family hardships (e.g., financial strain and technology access), and child emotional support (e.g., connections to peers and family support) combine to predict children's positive health as measured by academic competence and psychological well- being. This ECHO proposal combines both variable-centered and person-centered methodological approaches to generate critical, time-sensitive knowledge on modifiable and actionable factors that can effectively mitigate the impact of COVID-19 psychosocial hardships on child positive health development. As school districts, communities, and states begin planning for the next stages of economic opening and return from school closures in the fall, it is imperative to know which children are most vulnerable and at-risk of being left behind; how school policies and teaching approaches can be best optimized; and what social and emotional supports need to be in place in order for families and communities to “build back better.”", "keywords": [ "2019-nCoV", "Academic achievement", "Achievement", "Adolescent", "Adopted", "Award", "Back", "Buffers", "COVID-19", "COVID-19 pandemic", "Caregivers", "Chemical Models", "Child", "Child Development", "Child Support", "Child Welfare", "Communities", "Competence", "Country", "Data", "Data Collection", "Development", "Disease Outbreaks", "Distance Learning", "Economics", "Educational Models", "Educational process of instructing", "Emotional", "Environment", "Ethnic Origin", "Family", "Financial Hardship", "Future", "Health", "Health Policy", "Heterogeneity", "Individual", "Infection", "Knowledge", "Learning", "Left", "Linear Regressions", "Link", "Measures", "Methodology", "Modeling", "Neighborhoods", "Outcome", "Participant", "Pathway interactions", "Personal Satisfaction", "Persons", "Play", "Policies", "Policy Developments", "Public Health", "Questionnaires", "Race", "Records", "Reporting", "Research", "Research Personnel", "Resources", "Risk", "Risk Factors", "Schools", "Shapes", "Social Justice", "Social Network", "Social support", "Socioeconomic Status", "Subgroup", "Surveys", "Technology", "Testing", "Time", "Variant", "Virus", "Vulnerable Populations", "Well in self", "Work", "cohort", "complement C2a", "early childhood", "educational atmosphere", "ethnic minority population", "falls", "family support", "high risk", "improved", "insight", "low socioeconomic status", "middle childhood", "multidisciplinary", "novel", "peer support", "person centered", "prenatal", "programs", "protective factors", "psychosocial", "racial and ethnic", "racial minority", "school district", "segregation", "social", "sociodemographics", "socioeconomic disadvantage" ], "approved": true } } ], "meta": { "pagination": { "page": 1391, "pages": 1419, "count": 14184 } } }