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Principal Investigator: Cynthia Y Tang
Organization: UNIVERSITY OF MISSOURI-COLUMBIA
Fiscal Year: 2022
Award: $39,032
Funding agency: National Institute of Allergy and Infectious Diseases
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.
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