权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Evolution, transmission, and clinical impacts of SARS-CoV-2 variants among urban and rural populations

城乡人群中 SARS-CoV-2 变种的进化、传播和临床影响

基本信息

批准号：
10535916
负责人：
Cynthia Y Tang
金额：
$ 3.9万
依托单位：
UNIVERSITY OF MISSOURI-COLUMBIA
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-07-01 至 2026-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10535916
关键词：
2019-nCoV Algorithms Bayesian Analysis Bioinformatics COVID-19 COVID-19 impact COVID-19 pandemic COVID-19 severity COVID-19 vaccination Catchment Area Cessation of life Cities Classification Clinical Clinical Data Data Data Set Disease Disease Outcome Economic Burden Epidemiologic Factors Epidemiology Evolution Fellowship Future Genetic Variation Genome Genomic approach Genomics Geographic Factor Geographic Information Systems Geography Goals Grant Healthcare Systems Individual Integration Host Factors Knowledge Lasso Linear Regressions Machine Learning Medical center Midwestern United States Missouri Modeling Mutation Mutation Analysis National Institute of Allergy and Infectious Disease Outcome Patients Pattern Phylogenetic Analysis Physicians Population Property Research Research Design Research Priority Risk Factors Rural Rural Community Rural Population SARS-CoV-2 positive SARS-CoV-2 transmission SARS-CoV-2 variant Sampling Scientist Severity of illness Statistical Models Strategic Planning Testing Training United States Urban Community Urban Population Variant Viral Load result Virus base comorbidity comparative computational reasoning design disease transmission doctoral student experience genome sequencing genomic data health care economics improved information system analysis mortality multi-task learning nasopharyngeal swab novel pandemic disease prevent response rural area rural counties rural disparities rural environment social structure socioeconomics translational approach translational study transmission process urban area whole genome

项目摘要

Project Summary The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has resulted in over 5 million deaths worldwide. As the burdens of the pandemic in the United States (US) shift from urban to rural communities, preliminary studies suggest that rural populations suffer from higher disease severity and mortality rates than urban populations. However, even while 20% of the US population lives in a rural area and rural populations have known risk factors that differ from urban populations, the majority of COVID-19 research has primarily focused on large urban centers, and disease mitigation efforts in rural communities are largely informed by urban-centric data. Thus, it is urgently necessary to understand the evolution, spread, and clinical impacts of SARS-CoV-2 variants in rural areas and the disease interactions among urban and rural regions. However, limited clinical and genomic data, particularly from rural areas, are available, preventing us from fully understanding the disease dynamics of COVID-19. The objectives of this training grant are to determine how SARS-CoV-2 variants emerge and spread among urban and rural communities and to determine the virus, host, and population factors associated with clinical outcomes while training an MD-PhD student in advanced bioinformatics approaches, translational study design, and computational thinking to become an independent physician scientist. The Central Hypotheses are that SARS-CoV-2 variants arise in urban centers and spread into rural environments and that a synergistic set of virus, host, and population factors are associated with disease severity. To test our hypotheses, two specific aims are proposed to determine the genetic diversity and spread of SARS-CoV-2 variants among urban and rural regions (Aim 1) and to model clinical impacts of host, SARS-CoV-2 virus, and population factors (Aim 2). An existing and ongoing multi-year dataset that includes clinical information and whole genome sequencing of COVID-19-positive samples of individuals from urban and rural regions of Missouri will be used in both aims. This proposal is submitted in response to the NIAID Strategic Plan for COVID-19 Research Priority 1, “Assess functional consequences of newly emerging SARS-CoV-2 variants.” We expect the results from this study to support this priority in two ways: 1) We will determine the transmission patterns of SARS-CoV-2 variants between urban and rural communities, and 2) We will determine the clinical implications of existing and emerging SARS-CoV-2 variants as they interact with various other virus and host factors. The results from this project will improve the understanding of SARS-CoV-2 transmission dynamics and clinical impacts, particularly among rural populations, which will be important for the mitigation of COVID-19 and future pandemics.

项目总结