Risk Factors of SARS-CoV-2 Antibodies in Arapahoe County First Responders-The COVID-19 Arapahoe SErosurveillance Study (CASES) Project

4% of Arapahoe County, Colorado first responders were SARS-CoV-2 seropositive. Those who were seropositive were significantly more likely to have lung disease. Human services employees and individuals with lung disease are at risk.

Undetected infectives in the Covid-19 pandemic

Epidemiological investigations and mathematical models have revealed that the rapid diffusion of Covid-19 can mostly be attributed to undetected infective individuals who continue to circulate and spread the disease.

The relationship between SARS-COV-2 RNA positive duration and the risk of recurrent positive

There are fewer scientific dissertations about the risk of recurrent positive SARS-CoV-2 RNA. The aim of this study was to explore the relationship between the duration of SARS infection and risk of re-positive.

Testing SARS-CoV-2 vaccine efficacy through deliberate natural viral exposure

A challenge design with deliberate natural viral exposure avoids the need to grow culture. This new design is described and compared both to a conventional challenge design and to conventional phase III field trials.

COVID-19 - pathogenesis and immunological findings across the clinical manifestation spectrum

Author: We are beginning to understand the logic of the human response to a virus adapted to bat immunity. The diversity of the individual reaction may contribute to explain the clinical manifestation spectrum.

Evaluation of the rate of COVID-19 infection, hospitalization and death among Iranian patients with multiple sclerosis

Multiple sclerosis (MS) patients may also be at risk of the disease and its complications depending on the medication they are taking. This study evaluated a large population of patients with MS with different disease-modifying drugs to show if any of them increases the risk.

Identification and functional analysis of the SARS-COV-2 nucleocapsid protein

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was proved to be the main agent of COVID-19. SARS-COV- 2 N protein composed of 419 aa, is a 45.6 kDa positively charged unstable hydrophobic protein. It has 91 and 49% similarity to SARS and MERS and is predicted to be predominantly a nuclear protein. The 12 phosphorylated sites and 9 potential protein kinase sites may serve as promising targets for drug discovery and development.

Prediction of death status on the course of treatment in SARS-COV-2 patients with deep learning and machine learning methods

This study aims to evaluate the prediction performance of death status based on the demographic/clinical factors (including COVID-19 severity) by data mining methods. The accuracy rate of deep learning (97.15%) was more successful than the accuracy rate based on classical machine learning.

Departments

Recent Posts