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HGNC Genes

SARS-CoV-2 proteins

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    County-Level Longitudinal Clustering of COVID-19 MESHD Mortality to Incidence Ratio in the United States

    Authors: Nasim Vahabi; Masoud Salehi; Julio Duarte; Abolfazl Mollalo; George Michailidis

    doi:10.21203/rs.3.rs-40632/v2 Date: 2020-07-07 Source: ResearchSquare

    Background: As of November 12, 2020, the mortality to incidence ratio (M IR) HGNC of COVID-19 MESHD was 5.8% in the US. We utilized a longitudinal MESHD model-based clustering system based on the disease trajectories over time. We aimed to find the so-called “vulnerable” cluster of counties where to dedicate additional resources by the US policymakers.  Methods: County-level COVID-19 MESHD cases and deaths (Mar-Nov 2020), and a set of potential risk factors were collected for 3050 U.S. counties during the 1st wave (Mar25-Jun3, 2020), 1344 counties (sunbelt region) during the 2nd wave (Jun4-S ep2, HGNC 2020), and 1055 counties (great plains) during the 3rd wave (S ep3- HGNCNov12, 2020). We used growth mixture models to identify clusters of counties exhibiting similar COVID-19 MESHD M IR HGNCgrowth trajectories and risk-factors over time. Results: We identified the so-called “more vulnerable” clusters during the 1st, 2nd and 3rd waves of COVID-19 MESHD. Tuberculosis MESHD (OR=1.3-2.1-3.2), drug use disorder MESHD (OR=1.1), hepatitis MESHD (OR=13.1), HIV/AIDS MESHD (OR=2.3), cardiomyopathy MESHD and myocarditis MESHD (OR=1.3), diabetes MESHD (OR=1.2), mesothelioma MESHD (OR=9.3) were significantly associated with increased odds of being in a more vulnerable cluster. Heart complications MESHD and cancer MESHD were the main risk factors increasing the COVID-19 MESHD MIR (range: 0.08%-0.52% M IR↑ HGNC).Conclusion: We identified the so-called “more vulnerable” county-clusters exhibiting the highest COVID-19 MESHD MIR trajectories, indicating that enhancing the capacity and access to healthcare resources would be key to successfully manage COVID-19 MESHD in these clusters. These findings provide insights for public health policymakers on the groups of people and locations they need to pay particular attention while managing the COVID-19 MESHD epidemic.

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MeSH Disease
HGNC Genes
SARS-CoV-2 Proteins


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