Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1391&sort=-awardee_organization
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-awardee_organization", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1419&sort=-awardee_organization", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=-awardee_organization", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1390&sort=-awardee_organization" }, "data": [ { "type": "Grant", "id": "4404", "attributes": { "award_id": "1453860", "title": "CAREER: Embracing Complexity: A Fractal Calculus Approach to the Modeling and Optimization of Medical Cyber-Physical Systems", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "CPS-Cyber-Physical Systems" ], "program_reference_codes": [], "program_officials": [ { "id": 15026, "first_name": "Ralph", "last_name": "Wachter", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-05-15", "end_date": "2021-04-30", "award_amount": 427406, "principal_investigator": { "id": 15027, "first_name": "Paul", "last_name": "Bogdan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This cross-disciplinary research proposes a patient-specific cost-saving approach to the design and optimization of healthcare cyber-physical systems (HCPS). The HCPS computes the patient's physiological state based on sensors, communicates this information via a network from home to hospital for quantifying risk indices, signals the need for critical medical intervention in real time, and controls vital health signals (e.g., cardiac rhythm, blood glucose). The research proposed under the HCPS paradigm will treat the human body as a complex system. It will entail the development of mathematical models that capture the time-dependence and fractal behavior of physiological processes and the design of quality-of-life (QoL) control strategies for medical devices. The research will advance the understanding of the correlations between physiological processes, drug treatment, stress level and lifestyle. \n\nTo date, the complex interdependence, variability and individual characteristics of physiological processes have not been taken into account in the design of medical devices and artificial organs. The existing mathematical approaches rely on reductionist and Markovian assumptions. This research project will rethink the theoretical foundations for the design of healthcare cyber-physical systems by capturing the interdependencies and fractal characteristics of physiological processes within a highly dynamic network. To establish the theoretical foundations of HCPS, a three-step approach will be followed: (i) construct a multi-scale non-equilibrium statistical physics inspired framework for patient modeling that captures the time dependence, non-Gaussian behavior, interdependencies and multi-fractal behavior of physiological processes; (ii) develop adaptive patient-specific and physiology-aware (multi-fractal) close-loop control algorithms for dynamic complex networks; (iii) design algorithms and methodologies for the HCPS networked components that account for biological and technological constraints. This research will significantly contribute to early chronic disease detection and treatment. Models and implementable algorithms, which can both predict physiological dynamics and assess the risk of acute and chronic diseases, will be valuable instruments for patient-centered healthcare. This in-depth mathematical analysis of physiological complexity facilitates a transformative multimodal and multi-scale approach to CPS design with healthcare applications.\n\nThe project not only addresses the current scientific and technological gap in CPS, but can also foster new research directions in related fields such as the study of interdependent networks with implications for understanding homeostasis and diseases and the study and control of complex systems. The cyber-physical systems designed under this newly proposed paradigm will have vital social and economic implications, including the improvement of QoL and the reduction of lost productivity rates due to chronic diseases. The project will offer interdisciplinary training for graduate, undergraduate and K-12 students. The PI will integrate the research results within his courses at University of Southern California and make them widely available through the project website. Moreover, the PI will enhance civic engagement by involving college and K-12 students in community outreach activities that will raise awareness of the important role of health monitoring.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4499", "attributes": { "award_id": "1528121", "title": "NRI: Socially Aware, Expressive, and Personalized Mobile Remote Presence: Co-Robots as Gateways to Access to K-12 In-School Education", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "NRI-National Robotics Initiati" ], "program_reference_codes": [], "program_officials": [ { "id": 15423, "first_name": "Irina", "last_name": "Dolinskaya", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-01", "end_date": "2021-08-31", "award_amount": 600000, "principal_investigator": { "id": 15425, "first_name": "Maja", "last_name": "Mataric", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 15424, "first_name": "Gisele", "last_name": "Ragusa", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Participating in the school environment is essential to children's social, emotional, and cognitive development and learning. It has long been recognized that the quality of a student's school experience is important not only for the academic and achievement outcomes, but for fostering self-esteem, self-confidence, and general psychological well-being. Yet annually 26.6% of America's children have health or behavioral challenges that cause them to miss significant amounts of school, and 13% of all US K-12 public school students receive interventions due to learning disabilities or emotional disturbances. This project focuses on the problem of using mobile remote presence co-robots as a means to provide numerous K-12 aged children who cannot be present in school access to the curricular and social learning experiences critical to their development and future outcomes. Using mobile remote presence for access to K-12 classrooms for homebound students may be a powerful gateway for minimizing the effects of physical separation from the school environment. This project develops methods that enable the creation of personalizable robots that allow shared autonomy, socially appropriate movement and socially expressive nonverbal communication in dynamic in-class K-12 environments, allowing children to be truly embodied in the classroom, even from a distance. The impact of this NRI project spans K-12 education at large, but also applies to general uses of mobile remote presence systems outside of the classroom setting, for both education and training. In addition, the project connects the research themes with outreach; it engages K-12 students and teachers in co-robot-themed activities and holds annual NRI-themed workshops at large-scale public venues. The broader outreach program is designed to train students in STEM, so they can become not only end users of robotics and other technologies but capable of developing such technologies themselves, thereby contributing to the US STEM workforce. \n\nThis proposal focuses on developing control algorithms for mobile remote presence (MRP) co-robot systems that will improve human access to a learning/training environment, focusing on homebound K-12 students, but with general implications to users of all ages and a variety of contexts. Work with MRP systems has identified key missing technical capabilities necessary for facilitating natural remote interaction and learning: 1) simple, socially-appropriate autonomous behavior and context awareness that reduces user cognitive load; 2) expressiveness for conveying the user's affect and communicative intent; and 3) the ability to personalize the way the user interacts through the MRP. This project addresses these challenges with participatory user-informed algorithm development, system integration, and evaluation. Specifically, it first develops an approach to automating and facilitating spatial and social context awareness for the operator and the MRP, and uses it to enable the two research thrusts, social appropriateness and expressiveness, with algorithmic methods for personalizing both. To ground the results in the selected real-world context, iterative design and evaluation is performed in the K-12 in-class setting, involving users across the age and education span, providing a test of the co-robot's relevance, effectiveness, and robustness. The project brings together a pair of interdisciplinary experts with a track record of successful past collaborations and three partners: industry, deployment, and outreach, committed to a project timeline with specific evaluable milestones.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4821", "attributes": { "award_id": "1250972", "title": "GREPSEC: Underrepresented Groups in Security Research", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Secure &Trustworthy Cyberspace" ], "program_reference_codes": [], "program_officials": [ { "id": 16743, "first_name": "Nina", "last_name": "Amla", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2012-09-01", "end_date": "2015-08-31", "award_amount": 50000, "principal_investigator": { "id": 16744, "first_name": "Terry", "last_name": "Benzel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This proposal provides funding for the first GREPSEC: Underrepresented Groups in Security Research workshop, which will be affiliated with the annual IEEE Symposium on Research in Security & Privacy, in May 2013, in San Francisco CA. \n\nUSC/ISI will organize a day-and-a-half long workshop for women and underrepresented minorities in computer security and privacy. The workshop will be held May 18-19, 2013. This is the weekend before the IEEE Computer Society's Security and Privacy Symposium, the premier conference in security, and this workshop will be co-located in San Francisco, California.\n\nThe broad goal of the workshop is to increase the number of women and underrepresented minorities in computer security research. Security is a wide field, encompassing network security, operating system security, language-based security, forensics, privacy, as well as legal and policy issues.\n\nThe goal of the organizers is to encourage PhD students who are female and from underrepresented groups to choose security as their field of specialization. Their approach is to show the wide range of problems within the field and how women and underrepresented groups are working towards solving those problems.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5058", "attributes": { "award_id": "5U01MD017427-02", "title": "COVID-19 Mitigation Efforts and Disparities in Access to Routine Preventive Care and Chronic Disease Management", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Minority Health and Health Disparities (NIMHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 18086, "first_name": "Rada K", "last_name": "Dagher", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-09-20", "end_date": "2025-05-31", "award_amount": 412104, "principal_investigator": { "id": 18087, "first_name": "Cameron Maxwell", "last_name": "Kaplan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "As a result of mitigation policy and behavioral changes, the COVID-19 pandemic significantly reduced access to primary care, which is likely to have lasting effects on chronic disease management and health outcomes, particularly for medically and socially vulnerable populations with existing chronic conditions. Newly available longitudinal individual-level data allows us to rigorously examine these effects for the first time. Although there is a large and growing literature quantifying disparities in outcomes related to COVID-19, relatively less is known about how the pandemic has affected access to primary and preventive care as well as associated health outcomes among medically and socially vulnerable populations. Understanding how the pandemic affected the utilization of preventive health care and management of chronic conditions, such as diabetes mellitus (DM) and hypertension (HTN), as well as the downstream outcomes, is critical to addressing resultant health disparities and mitigating the impact of future disruptions to the healthcare system and advancing interventions and policies to reduce health disparities We will leverage this newly available and timely data to examine changes in receipt of healthcare during the pandemic. Our data will include commercial health insurance claims in addition to a unique dataset containing billing data for a large, urban safety-net county health system serving a low-income, largely minority patient population. Within those populations, we will include a special focus examining individuals with DM or HTN. Using a mixed-methods design, we will examine changes in health care utilization and the predictors of disruptions over time. To more comprehensively understand contextual influences related to disruptions in care, we will obtain complementary qualitative data through interviews with patients, providers and clinic staff, and health systems leaders from the second largest municipal health system in the United States that will explore the drivers of underutilization of primary and preventive care during and after the pandemic. Our specific aims are to: (1) quantify the impact of the pandemic on racial/ethnic disparities in receipt of appropriate primary care, chronic disease management, and downstream health outcomes; (2) compare the differential effect of pandemic mitigation efforts between a commercially insured population and a safety net population; and (3) contextualize the secondary health effects of the pandemic using qualitative interviews with health systems stakeholders. Using established and novel data sets, supplemented by qualitative interviews we will be able to shed light on the changes in patterns of care management both during and after the pandemic for medically and socially vulnerable patients. Such information is crucial to determining how we should direct health care resources during national crises. However, these results are equally important in a post-pandemic landscape, in which the way patients seek care and health systems offer care is permanently altered.", "keywords": [ "Address", "Adherence", "Affect", "Age", "Ambulatory Care", "Behavioral", "COVID-19", "COVID-19 mortality", "COVID-19 pandemic", "Caring", "Chronic", "Chronic Disease", "Clinic", "Contracts", "County", "Data", "Data Analyses", "Data Set", "Diabetes Mellitus", "Disease Management", "Future", "Guidelines", "Health", "Health Insurance", "Health Resources", "Health system", "Healthcare", "Healthcare Systems", "Hospitalization", "Hypertension", "Income", "Individual", "Intervention", "Interview", "Light", "Literature", "Low income", "Measures", "Medical", "Methods", "Morbidity - disease rate", "Municipalities", "Outcome", "Patients", "Patterns of Care", "Persons", "Pharmacologic Substance", "Policies", "Population", "Preventive care", "Preventive healthcare", "Primary Health Care", "Provider", "Reduce health disparities", "Renal function", "Resources", "Risk", "Screening for cancer", "Social Distance", "Social Work", "Time", "United States", "Vulnerable Populations", "base", "billing data", "care seeking", "care systems", "clinical encounter", "design", "disadvantaged population", "ethnic minority population", "health care service utilization", "health disparity", "health management", "high risk", "improved", "insurance claims", "minority patient", "novel", "pandemic disease", "patient population", "primary care services", "racial and ethnic", "racial and ethnic disparities", "safety net", "severe COVID-19", "social vulnerability", "socioeconomic disadvantage" ], "approved": true } }, { "type": "Grant", "id": "5514", "attributes": { "award_id": "3K01AG050811-05S1", "title": "Pathways from Health Insurance to Subjective Well-Being and Psychological Health at Older Ages", "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": 19179, "first_name": "GEORGEANNE E.", "last_name": "PATMIOS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-05-15", "end_date": "2023-04-30", "award_amount": 108000, "principal_investigator": { "id": 19180, "first_name": "Silvia Helena", "last_name": "Barcellos", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The American population over 65 is growing rapidly, which will lead to a steep rise in the number of dementia cases (Hebert et al. 2003). Cognitive impairment, even in the absence of a dementia diagnosis, is often associated with limitations in an individual's ability to work, manage finances, and deal with routine activities, with possible implications for psychological well-being. Increased uncertainty that harms senior psychological health might, in turn, result in faster cognitive decline (Goveas et al., 2011) and dementia onset. The COVID-19 pandemic, as well as the disruptions caused by measures to slow it, might reinforce the relationship between psychological well-being and dementia. Like individuals with underlying health conditions, older adults are at higher risk of serious reactions to COVID-19 and death. In addition, seniors have steeper cognitive decline that might be accelerated by the increased uncertainty and health risks associated with the pandemic, with implications for the prevalence of dementia. As a result, there is an urgent need to understand the negative cognitive and psychological well-being effects of the pandemic among seniors, which subpopulations are most vulnerable, and what can be done to mitigate such effects. In particular, it is important to understand the role of large social programs such as Medicare in reducing the uncertainty generated by the pandemic and alleviating its consequences. In this administrative supplement, we propose to collect data to investigate the role of Medicare in delaying cognitive decline – and the consequent onset of dementia -- and improving psychological well-being of older Americans. In particular, we will document how the role of Medicare in providing access to health insurance and health care, as well was any consequent effects, changed during the COVID-19 pandemic. In question is whether, by providing access to health insurance, Medicare can reduce the cognition and well-being consequences of the pandemic. This supplement fits in with the overall goal of my K parent grant, which is to understand how health insurance affects the SWB and mental health of the elderly. The aims listed above are closely related to the parent grant's aims, but now use the opportunity to also understand how the pandemic, which greatly increased uncertainty, affected cognition and the onset of dementia. My plan is to develop a long-run panel following this initial cohort of respondents over time in order to capture changes in the cognition, dementia diagnosis, self-reported health and psychological well-being of this important demographic group. To do so, I will apply for a R01. The data collection supported by this supplement will increase my chances of writing a successful R01 application as a PI, one of the few K01 objectives that I still need to achieve. Finally, all collected data will be made publicly available for the research community after the publication of main findings.", "keywords": [ "Administrative Supplement", "Affect", "Age", "Alzheimer&apos", "s disease related dementia", "American", "COVID-19", "COVID-19 mortality", "COVID-19 pandemic", "Cognition", "Cognitive", "Communities", "Data", "Data Collection", "Dementia", "Diagnosis", "Elderly", "Eligibility Determination", "Emergency Situation", "Financial Hardship", "Geographic Locations", "Goals", "Grant", "Health", "Health Insurance", "Health Services Accessibility", "Healthcare", "Impaired cognition", "Individual", "Internet", "K-Series Research Career Programs", "Lead", "Measures", "Medicare", "Mental Depression", "Mental Health", "Participant", "Pathway interactions", "Patient Self-Report", "Personal Satisfaction", "Population", "Prevalence", "Publications", "Reaction", "Research", "Respondent", "Risk", "Role", "Running", "Sampling", "Stress", "Surveys", "Testing", "Time", "Uncertainty", "Well in self", "Work", "Writing", "cognitive function", "cohort", "follow-up", "health economics", "high risk", "improved", "pandemic disease", "parent grant", "physical conditioning", "programs", "response", "social", "stressor" ], "approved": true } }, { "type": "Grant", "id": "5522", "attributes": { "award_id": "3K01DA042950-04S1", "title": "Understanding Transitions from Vaping to Smoking Across Adolescence", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Drug Abuse (NIDA)" ], "program_reference_codes": [], "program_officials": [ { "id": 19198, "first_name": "HEATHER L", "last_name": "KIMMEL", "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": 52740, "principal_investigator": { "id": 19199, "first_name": "Jessica Louise", "last_name": "Barrington-Trimis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "/ ABSTRACT - Parent K01 Despite the proliferation of adolescent e-cigarette use (i.e., vaping) and evidence of associations of vaping with cigarette initiation, research on whether vaping increases the risk of progression to regular, dependent smoking patterns and on factors that underlie these risk pathways are scant. Consequently, there are limited data to guide interventions to protect the growing population of adolescent vapers from transitioning to smoking. We hypothesize that a pro-tobacco social environment (e.g., lower socioeconomic environment in which smoking may be more accepted, proximity to tobacco retailers, having friends who smoke) may amplify the risk of transition from vaping to regular smoking and dependence, particularly among youth with a positive sensory-pharmacological response to their initial vaping experience who may therefore be more inclined to experiment with other tobacco products. This project will leverage data from two ongoing longitudinal cohorts to study vaping as a predictor of risk of smoking progression and dependence in adolescents aged 14-20 (Pooled N~3700; Aim 1a) and the role of the social environment and early vaping experience as moderators of this risk pathway (Aim 1b); we will also examine whether these associations differ by gender and age (Aim 1c). In a parallel project, we will conduct qualitative interviews with youth in these cohorts to uncover novel factors that influence this transition (N=60; Aim 2). Results from Aims 1 and 2 will be used to generate a new psychological survey to assess a novel construct of `susceptibility to transition from vaping to smoking.' We will conduct an initial validation study in a subset of youth vapers from both cohorts (N=200; Aim 3). Findings will be informative in (1) elucidating the possible harms that vaping may pose to population health by increasing youth smoking, which is important to guide development of policies and regulation of youth vaping; and (2) guiding the development of prevention strategies to address the social environment and alter the vaping experience to mitigate the risk of smoking among the rapidly increasing population of vaping adolescents. I enter this project with strong quantitative skills as an epidemiologist and growing experience in tobacco research. This K01 is critical for me to develop expertise in areas that will support my long-term goals to become an independent multi-disciplinary investigator of the intersecting environmental and intrapersonal determinants of adolescent tobacco and other drug use. The training proposed will help me to develop expertise in a) adolescent developmental psychopathology of addiction, b) qualitative research methodologies, and c) survey design and psychometric testing of survey items, with mentorship to additionally refine my skills in application of my research to inform policy and prevention efforts. I have worked closely with my mentors (selected based on their expertise in each training area) to develop an ambitious but feasible training plan that incorporates expert mentoring, directed readings, coursework and seminars, scientific meetings, and continued development of manuscript and grant writing skills.", "keywords": [ "Address", "Administrative Supplement", "Adolescence", "Adolescent", "Affect", "Age", "Alcohol consumption", "Alcohols", "Anxiety", "Area", "Attenuated", "Buffers", "Businesses", "COVID diagnosis", "COVID-19", "COVID-19 pandemic", "California", "Cannabis", "Cigarette", "Contracts", "Data", "Data Collection", "Dependence", "Development", "Disease", "Drug usage", "Economics", "Employment", "Environment", "Epidemic", "Epidemiologist", "Ethnic Origin", "Event", "Family", "Frequencies", "Friends", "Fright", "Funding", "Future", "Gender", "Goals", "Grain", "Grant", "Home", "Incentives", "Income", "Individual", "Intervention", "Interview", "Loneliness", "Longitudinal cohort", "Manuscripts", "Measures", "Mental Depression", "Mental Health", "Mentors", "Mentorship", "National Institute of Drug Abuse", "Nicotine Dependence", "Opioid", "Parents", "Participant", "Pathway interactions", "Pattern", "Pharmaceutical Preparations", "Pharmacology", "Pharmacy facility", "Policies", "Population", "Positioning Attribute", "Predisposition", "Prevention", "Prevention strategy", "Prospective cohort study", "Psychometrics", "Psychopathology", "Public Health", "Qualitative Research", "Race", "Randomized", "Reading", "Regulation", "Relapse", "Reporting", "Research", "Research Methodology", "Research Personnel", "Risk", "Role", "Schools", "Sensory", "Smoke", "Smoking", "Social Distance", "Social Environment", "Social isolation", "Source", "Substance Use Disorder", "Surveys", "Testing", "Time", "Tobacco", "Training", "Transportation", "Universities", "Virus", "Work", "Writing", "Youth", "addiction", "aged", "alcohol use disorder", "base", "binge drinking", "burden of illness", "cigarette smoke", "cigarette smoking", "cohort", "coronavirus disease", "design", "development policy", "drinking", "drug use behavior", "electronic cigarette use", "experience", "experimental study", "follow-up", "food insecurity", "generalized anxiety", "meetings", "multidisciplinary", "novel", "pandemic disease", "population health", "prevent", "psychologic", "psychological stressor", "response", "secondary outcome", "skills", "smoking addiction", "social", "sociodemographic factors", "socioeconomics", "substance use", "therapy design", "tobacco products", "validation studies", "vaper", "vaping", "young adult" ], "approved": true } }, { "type": "Grant", "id": "5800", "attributes": { "award_id": "1U01MD017427-01", "title": "COVID-19 Mitigation Efforts and Disparities in Access to Routine Preventive Care and Chronic Disease Management", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Minority Health and Health Disparities (NIMHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 19932, "first_name": "Rada K", "last_name": "Dagher", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-09-20", "end_date": "2025-05-31", "award_amount": 483759, "principal_investigator": { "id": 19933, "first_name": "Cameron Maxwell", "last_name": "Kaplan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "As a result of mitigation policy and behavioral changes, the COVID-19 pandemic significantly reduced access to primary care, which is likely to have lasting effects on chronic disease management and health outcomes, particularly for medically and socially vulnerable populations with existing chronic conditions. Newly available longitudinal individual-level data allows us to rigorously examine these effects for the first time. Although there is a large and growing literature quantifying disparities in outcomes related to COVID-19, relatively less is known about how the pandemic has affected access to primary and preventive care as well as associated health outcomes among medically and socially vulnerable populations. Understanding how the pandemic affected the utilization of preventive health care and management of chronic conditions, such as diabetes mellitus (DM) and hypertension (HTN), as well as the downstream outcomes, is critical to addressing resultant health disparities and mitigating the impact of future disruptions to the healthcare system and advancing interventions and policies to reduce health disparities We will leverage this newly available and timely data to examine changes in receipt of healthcare during the pandemic. Our data will include commercial health insurance claims in addition to a unique dataset containing billing data for a large, urban safety-net county health system serving a low-income, largely minority patient population. Within those populations, we will include a special focus examining individuals with DM or HTN. Using a mixed-methods design, we will examine changes in health care utilization and the predictors of disruptions over time. To more comprehensively understand contextual influences related to disruptions in care, we will obtain complementary qualitative data through interviews with patients, providers and clinic staff, and health systems leaders from the second largest municipal health system in the United States that will explore the drivers of underutilization of primary and preventive care during and after the pandemic. Our specific aims are to: (1) quantify the impact of the pandemic on racial/ethnic disparities in receipt of appropriate primary care, chronic disease management, and downstream health outcomes; (2) compare the differential effect of pandemic mitigation efforts between a commercially insured population and a safety net population; and (3) contextualize the secondary health effects of the pandemic using qualitative interviews with health systems stakeholders. Using established and novel data sets, supplemented by qualitative interviews we will be able to shed light on the changes in patterns of care management both during and after the pandemic for medically and socially vulnerable patients. Such information is crucial to determining how we should direct health care resources during national crises. However, these results are equally important in a post-pandemic landscape, in which the way patients seek care and health systems offer care is permanently altered.", "keywords": [ "Address", "Adherence", "Affect", "Age", "Ambulatory Care", "Behavioral", "COVID-19", "COVID-19 mortality", "COVID-19 pandemic", "Caring", "Chronic", "Chronic Disease", "Clinic", "Contracts", "County", "Data", "Data Analyses", "Data Set", "Diabetes Mellitus", "Disease Management", "Future", "Guidelines", "Health", "Health Insurance", "Health Resources", "Health system", "Healthcare", "Healthcare Systems", "Hospitalization", "Hypertension", "Income", "Individual", "Intervention", "Interview", "Light", "Literature", "Low income", "Measures", "Medical", "Methods", "Minority", "Morbidity - disease rate", "Municipalities", "Outcome", "Patients", "Patterns of Care", "Persons", "Pharmacologic Substance", "Policies", "Population", "Preventive care", "Preventive healthcare", "Primary Health Care", "Provider", "Renal function", "Resources", "Risk", "Screening for cancer", "Social Distance", "Social Work", "Structure", "Time", "United States", "Vulnerable Populations", "base", "billing data", "care seeking", "care systems", "clinical encounter", "design", "disadvantaged population", "ethnic minority population", "health care service utilization", "health disparity", "health management", "high risk", "improved", "insurance claims", "novel", "pandemic disease", "patient population", "primary care services", "racial and ethnic", "racial and ethnic disparities", "safety net", "severe COVID-19", "social vulnerability", "socioeconomic disadvantage" ], "approved": true } }, { "type": "Grant", "id": "5861", "attributes": { "award_id": "3U01AG064948-02S2", "title": "Harmonized Diagnostic Assessment of Dementia (DAD) for Longitudinal Aging Study in India (LASI) Genomic Study-Covid-19 Administrative Supplement Year 2", "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": 20086, "first_name": "Alison Q.", "last_name": "Yao", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-09-15", "end_date": "2024-08-31", "award_amount": 406369, "principal_investigator": { "id": 20087, "first_name": "Sharon L", "last_name": "Kardia", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 20088, "first_name": "Jinkook", "last_name": "Lee", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The COVID-19 pandemic poses grave risks to countries across the globe. India may be particularly vulnerable as it has relatively weak health systems, high population density, a growing non-communicable disease burden, and a large low-income population. Since May 2020, we have developed and administered a bi- monthly phone survey which will continue over the course of 12 months, tracking the knowledge of and attitude toward COVID-19, as well as monitoring changes in the respondents’ health, cognition, health care utilization, and household income and consumption, for a large subsample of the Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India. The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) is the first and only nationally representative and publicly available dataset on late-life cognition and dementia in India. It administers the Harmonized Cognitive Assessment Protocol (HCAP) that is designed to be harmonized with ongoing longitudinal studies of aging around the world, including the Health and Retirement Study (HRS) in the United States and prior studies in India. This rich set of cognitive phenotypes and a variety of other health and social environment phenotypes, as well as genotype data from whole genome sequencing, give us a unique opportunity to identify the mutational spectrum underlying the risk of dementia and AD in a representative sample in India. In this application, we aim to conduct two additional rounds of phone surveys over the following 12-month period after the conclusion of the current one-year period to capture longer term effects of the COVID pandemic. The pandemic has influenced everyday lives, and it is likely that these effects may be sustained in the longer term. In order to capture such prolonged effects, we aim to collect two additional rounds of data over a 12-month time period. Leveraging the first wave of LASI-DAD, we will then investigate how COVID-19- related changes in the social, economic, and policy environments differentially impact the respondents’ health, particularly cognition and dementia. We will also aim to release data to the wider research community so all interested researchers will have access to eight rounds of rich, nationally representative panel data throughout and after the pandemic.", "keywords": [ "Administrative Supplement", "Aging", "Attitude", "Behavior", "COVID-19", "COVID-19 pandemic", "COVID-19 vaccination", "Cognition", "Cognitive", "Communities", "Computer Assisted", "Consumption", "Country", "Data", "Data Set", "Dementia", "Diagnostic", "Economic Policy", "Economics", "Elderly", "Environment", "Genomics", "Genotype", "Goals", "Health", "Health and Retirement Study", "Health system", "Household", "Income", "India", "Intervention", "Knowledge", "Life Cycle Stages", "Link", "Long-Term Effects", "Longitudinal Studies", "Longitudinal Surveys", "Low Income Population", "Monitor", "Mutation", "Perception", "Phenotype", "Policies", "Population Density", "Protocols documentation", "Recovery", "Research", "Research Personnel", "Respondent", "Risk", "Sampling", "Social Environment", "Surveys", "Symptoms", "Telephone", "Telephone Interviews", "Time", "United States", "Work", "avoidance behavior", "burden of illness", "cognitive testing", "dementia risk", "design", "genome sequencing", "health care availability", "health care service utilization", "innovation", "interest", "member", "pandemic disease", "social", "social group", "social relationships", "social structure", "social vulnerability", "web site", "welfare", "whole genome" ], "approved": true } }, { "type": "Grant", "id": "5915", "attributes": { "award_id": "3R01AG058162-03S1", "title": "Revision Supplement: Model-based cerebrovascular markers extracted from hemodynamic data for diagnosing MCI or AD and predicting disease progression", "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": 20211, "first_name": "Yuan", "last_name": "Luo", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2018-09-01", "end_date": "2023-05-31", "award_amount": 501351, "principal_investigator": { "id": 20212, "first_name": "Sandra A", "last_name": "Billinger", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 20213, "first_name": "VASILIS Z", "last_name": "MARMARELIS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 20214, "first_name": "RONG", "last_name": "ZHANG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Urgent Competitive Revision Supplement to the multi-PI award RO1AG058162 entitled: \"Model-based cerebrovascular markers extracted from hemodynamic data for non-invasive, portable and inexpensive diagnosis of MCI or mild AD and prediction of disease progression\" PROJECT SUMMARY The goal of the proposed Urgent Competitive Revision Supplement to the current multi-PI award RO1AG058162 is to expand the scope of the current program to include aspects of cardio-respiratory regulation of cerebral perfusion in a subset of volunteers from our current cohort (30 AD patients, 30 MCI patients and 30 cognitively-normal controls) as well as in 30 newly recruited Covid-recovered patients in order to investigate the cardio-respiratory regulation in MCI and AD patients, as well as the effect of Covid-19 on the regulation of cardio-respiratory control and cerebral perfusion. The latter issue has attained urgent clinical importance during the ongoing Covid-19 pandemic because of the observed dysfunction of the fundamental cardio-respiratory chemoreflex that appeared unable to restore the homeostatic balance in some severe cases of Covid-19 presenting very low blood oxygen saturation without the normally expected tachypnea (termed tentatively “silent hypoxemia”). This proposed expansion of the scope of the current multi-PI program will further enhance the main objective regarding the potential utility of a new class of cerebrovascular markers for the improved diagnosis and prediction of disease progression in Mild Cognitive Impairment (MCI) and mild Alzheimer's Disease (AD). The means for obtaining these markers are non-invasive, inexpensive and portable, so that they can be used for screening in a primary-care setting. The scientific rationale for this new class of cerebrovascular markers is provided by recent promising results of our group and the mounting evidence of a strong correlation between MCI/AD and cerebrovascular dysregulation in the work of many others, which suggest that cerebrovascular dysregulation is the earliest and strongest pathologic factor associated with AD progression, corroborating the hypothesis of cerebrovascular dysregulation. The current research program and the proposed expansion of its scope will achieve reliable quantification of cerebrovascular dysregulation through our novel integrative approach of predictive dynamic modeling that analyzes the cerebral hemodynamics and cardio-respiratory regulation through the use of input-output predictive models of the dynamic relationships between changes in beat-to-beat cerebral blood flow velocity or cerebral tissue oxygenation in response to changes in arterial blood pressure, end-tidal CO2 data, blood oxygen saturation, heart rate and (with the expanded scope of the proposed Revision Supplement) changes in respiratory rate, ventilation and inhaled gases (O2 and CO2). The obtained data-based models are subsequently used to compute markers of the dynamics of cerebrovascular regulation. These model-based markers will be evaluated against established MRI-based and PET-based biomarkers, as well as neuropsychological test data, offering the promise of non-invasive, inexpensive and sensitive means for detecting cerebrovascular dysregulation and (with the proposed Supplement) cardio-respiratory dysregulation at the early stages of MCI or mild AD, as well as in many severe Covid-19 cases with the puzzling clinical presentation of “silent hypoxemia” that is recognized as high mortality risk for hospitalized severe Covid-19 cases.", "keywords": [ "2019-nCoV", "Affect", "Alzheimer&apos", "s Disease", "Alzheimer&apos", "s disease patient", "Award", "Baroreflex", "Biological Markers", "Blood", "Blood Flow Velocity", "Blood Pressure", "Brain Stem", "COVID-19", "COVID-19 pandemic", "COVID-19 patient", "Carbon Dioxide", "Cardiovascular system", "Cerebral Hypoxia", "Cerebrovascular Circulation", "Cerebrum", "Cessation of life", "Clinical", "Cognitive", "Data", "Diagnosis", "Disease Progression", "Equilibrium", "Functional disorder", "Gases", "Goals", "Heart Rate", "Hypercapnia", "Hypoxemia", "Hypoxia", "Impairment", "Inhalation", "Intervention", "Knowledge", "Magnetic Resonance Imaging", "Measures", "Methodology", "Modeling", "Nerve Degeneration", "Neurodegenerative Disorders", "Neuropsychological Tests", "Output", "Oxygen", "Pathologic", "Patients", "Perfusion", "Physiological", "Positron-Emission Tomography", "Process", "Regulation", "Reporting", "Research", "Respiration", "Rest", "Tissues", "Variant", "Work", "base", "cerebral hemodynamics", "cerebrovascular", "cohort", "coronavirus disease", "heart function", "hemodynamics", "improved", "mild cognitive impairment", "mortality risk", "novel", "portability", "predictive modeling", "primary care setting", "programs", "recruit", "relating to nervous system", "respiratory", "response", "screening", "severe COVID-19", "tissue oxygenation", "ventilation", "volunteer" ], "approved": true } }, { "type": "Grant", "id": "5923", "attributes": { "award_id": "3P30ES007048-25S1", "title": "Environmental Exposures, Host Factors and Human Disease", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Environmental Health Sciences (NIEHS)" ], "program_reference_codes": [], "program_officials": [ { "id": 20235, "first_name": "Claudia L", "last_name": "Thompson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "1997-04-01", "end_date": "2021-05-31", "award_amount": 127359, "principal_investigator": { "id": 20236, "first_name": "ROB S", "last_name": "MCCONNELL", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Emerging data indicate disproportionate COVID-19 death rates among members of racial/ethnic minority groups in the United States. The contribution of demographic factors, socioeconomic status (SES), population mobility, and environmental exposures is unclear. Using California death certificate data, we will study potential determinants of probable COVID-19 deaths and excess all-cause mortality during the pandemic. In Aim 1 we will evaluate the independent contribution of acute (prior 1-8 weeks) and chronic (prior 1-2 years) air pollution exposure to COVID-19 mortality and excess all-cause mortality that has been observed during the pandemic. In Aim 2 we will estimate the joint association of individual level demographic determinants (e.g., sex, age, race/ethnicity) and contextual factors (e.g., neighborhood demographics/SES, time-varying cell-phone based mobility, air pollution). The expected outcome of this investigation is an improved understanding of the effect of ambient air pollution on COVID-19 mortality risk and the impact of individual and contextual factors on COVID- 19 mortality, with a goal of discerning factors that may have led to the troubling higher COVID-19 mortality being observed in racial/ethnic minority populations. Study findings will have an important positive impact by identifying characteristics of high-risk, vulnerable communities that can guide more targeted and effective public health interventions. Clarifying the role of air pollution in COVID-19 deaths could be highly relevant to air quality regulations that potentially could reduce mortality.", "keywords": [ "Acute", "Air Pollution", "COVID-19", "COVID-19 mortality", "California", "Cellular Phone", "Characteristics", "Chronic", "Color", "Communities", "Data", "Death Certificates", "Death Rate", "Demographic Factors", "Environmental Exposure", "Ethnic Origin", "Exposure to", "Goals", "Individual", "Integration Host Factors", "Investigation", "Joints", "Minority Groups", "Neighborhoods", "Outcome", "Population", "Race", "Role", "Socioeconomic Status", "Time", "United States", "air quality regulation", "ambient air pollution", "base", "contextual factors", "demographics", "ethnic minority population", "high risk", "human disease", "improved", "member", "mortality", "mortality risk", "pandemic disease", "public health intervention", "racial and ethnic", "racial and ethnic disparities", "sex" ], "approved": true } } ], "meta": { "pagination": { "page": 1391, "pages": 1419, "count": 14184 } } }