Health Disparities and SARS-COV-2 Evolution: A Focused Viral Genomics Study

健康差异和 SARS-COV-2 进化：一项重点病毒基因组学研究

• 批准号: 10381371
• 负责人: JOHN P. KIRWAN
• 金额: $ 73.76万
• 依托单位: LSU PENNINGTON BIOMEDICAL RESEARCH CTR
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-15 至 2022-08-04
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10381371
• 关键词: 2019-nCoV; Address; Adherence; Amino Acids; Antibodies; Antiviral Agents; Area; Awareness; Bioinformatics; Biological; Body mass index; CLIA certified; COVID-19; COVID-19 pandemic; COVID-19 patient; COVID-19 surveillance; COVID-19 vaccine; Cerebrovascular Disorders; Chronic; Chronic Disease; Chronic Kidney Failure; Classification Scheme; Clinical; Clinical Data; Communities; Community Health Education; Community Outreach; Data; Data Analytics; Diabetes Mellitus; Diffusion; Drops; Evolution; Gender; Genetic; Genetic Variation; Healthcare Systems; Human; Hypertension; Immune system; Immunity; Immunosuppressive Agents; Impairment; Individual; Infection; Information Dissemination; Institution; Knowledge; Laboratories; Length of Stay; Lifting; Linguistics; Louisiana; Malignant Neoplasms; Methods; Minority; Molecular Epidemiology; Monoclonal Antibodies; Mutation; Obesity; Outcome; Participant; Pathogenicity; Patients; Pattern; Phylogenetic Analysis; Population; Population Sizes; Preventive measure; Probability; Process; Renal dialysis; Reporting; Resource Informatics; SARS-CoV-2 genome; SARS-CoV-2 variant; Severities; Symptoms; Testing; Time; Transplant Recipients; Underinsured; Underserved Population; Uninsured; Vaccinated; Vaccination; Vaccines; Variant; Viral; Viral Drug Resistance; Viral Genome; Virus; Vulnerable Populations; age group; base; biomedical informatics; clinical phenotype; community engagement; comorbidity; design; epidemiologic data; health disparity; immune clearance; immunogenic; immunogenicity; improved; innovation; models and simulation; next generation sequencing; outreach; pandemic disease; pressure; programs; racial and ethnic; sequencing platform; study population; trend; variants of concern; viral genomics; virus genetics

Health Disparities and SARS-CoV-2 Evolution: A Focused Viral Genomics Study Project Summary/Abstract We hypothesize that prolonged COVID19 illness, re-infection, and/or post-vaccine infection in patients with chronic conditions are associated with specific SARS-CoV-2 lineages or mutations, and that increasing the awareness of the potential danger posed by variants of concern will improve testing adherence and variant tracking. We propose to use our established FDA- authorized COVID19 sequencing platform in combination with innovative data analytics and clinical bioinformatics as well as our BMI and community engagement KCAs. Our proposal addresses four of the priority areas indicated by NOT-GM-21-031, specifically: • Are there different variants present in the study population, and how has the number of cases caused by different variants changed over time in the study population? • How are different variants distributed among different racial, ethnical, gender, and/or age groups? • Are specific variants associated with different levels of manifestation of COVID19 symptoms? • Do vaccinated study participants still acquire the SARS-CoV-2 virus, and if so, what variants do they carry? We propose these Specific Aims: Specific Aim 1. To improve surveillance of COVID19 by integrating SARS-CoV-2 sequencing and clinical data with a focus on under-represented, vulnerable and remote populations. Using highly automated processes, we will identify variants/mutations associated with clinical phenotypes, including prolonged asymptomatic/antibody-positive individuals, re-infected, and vaccinated populations. All trend data will be integrated in the AWS cloud where it can be accessed by relevant stakeholders including testing and vaccine program partners. Specific Aim 2. To develop and validate simulation models that incorporate SARS-CoV-2 genetic data with clinical outcomes to predict COVID19 case severity in Louisiana by region as vaccination levels increase. Specific Aim 3. To design and deploy culturally and linguistically appropriate outreach material on SARS-CoV-2 and determine whether increased knowledge of the potential danger of adaptive mutations improves acceptance of testing and vaccination.

健康差异与SARS-CoV-2进化：一项集中的病毒基因组学研究