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Vaccine Development Against COVID-19 Prior to Pandemic Outbreaks, Using in vitro Evolution and Reverse Genetics
(
Frontiers Media
, 2020 , Article)
Developing vaccines against COVID-19 during or after future pandemic outbreaks will be too slow to save lives. The opinion presented here is that we can anticipate the virus genomic structures that will emerge and cause ...
Diagnostic Efficiency of Three Fully Automated Serology Assays and Their Correlation with a Novel Surrogate Virus Neutralization Test in Symptomatic and Asymptomatic SARS-COV-2 Individuals
(
MDPI
, 2020 , Article)
Abstract: To support the deployment of serology assays for population screening during the
COVID-19 pandemic, we compared the performance of three fully automated SARS-CoV-2 IgG assays: Mindray CL-900i® (target: spike [S] ...
Factors Influencing Public Attitudes towards COVID-19 Vaccination: A Scoping Review Informed by the Socio-Ecological Model
(
MDPI
, 2021 , Article)
Major hindrances to getting a COVID-19 vaccine include vaccine hesitancy, skepticism, refusal, and anti-vaccine movements. Several studies have been conducted on attitudes of the public towards COVID-19 vaccines and the ...
Reinforcement learning-based decision support system for COVID-19
(
Elsevier
, 2021 , Article)
Globally, informed decision on the most effective set of restrictions for the containment of COVID-19 has been the subject of intense debates. There is a significant need for a structured dynamic framework to model and ...
Performance evaluation of five ELISA kits for detecting anti-SARS-COV-2 IgG antibodies
(
Elsevier
, 2020 , Article)
ObjectivesTo evaluate and compare the performances of five commercial ELISA assays (EDI, AnshLabs, Dia.Pro, NovaTec, and Lionex) for detecting anti-SARS-CoV-2 IgG. Methods70 negative control samples (collected before the ...
Support of intelligent emergent materials to combat COVID-19 pandemic
(
Springer
, 2021 , Article)
The COVID-19 pandemic, associated with SARS-CoV-2 infection
transmitted via human to human and cause lifethreatening
respiratory diseases, has emerged as an everincreasing
global health and economic crisis since its ...
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
(
Springer
, 2021 , Article)
COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable, and early clinical assessment of the severity of the disease can help in allocating and prioritizing resources to reduce ...
SARS-CoV-2 and immune-microbiome interactions: Lessons from respiratory viral infections
(
Elsevier
, 2021 , Article)
By the beginning of 2020, infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) had rapidly evolved into an emergent worldwide pandemic, an outbreak whose unprecedented consequences highlighted ...
A review of mathematical model-based scenario analysis and interventions for COVID-19
(
Elsevier
, 2021 , Article)
Mathematical model-based analysis has proven its potential as a critical tool in the battle against COVID-19 by enabling better understanding of the disease transmission dynamics, deeper analysis of the cost-effectiveness ...
Efficacy and safety of tocilizumab in COVID-19 patients: a living systematic review and meta-analysis
(
Elsevier
, 2021 , Article)
ObjectivesCytokine release syndrome with elevated interleukin-6 (IL-6) levels is associated with multiorgan damage and death in severe coronavirus disease 2019 (COVID-19). Our objective was to perform a living systematic ...