About Aliza Yousey

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So far Aliza Yousey has created 20 blog entries.

COV-IRT Collaboration (Preprint): Estimating Unreported Deaths Associated with COVID-19

By |2020-09-02T22:52:33+00:00September 2nd, 2020|

New Research from the Modeling Subgroup: Estimating Unreported Deaths Associated with COVID-19 This research was developed by the COV-IRT Modeling Subgroup. Collaborators include Benjamin Stear, Kyle M. Hernandez, Vidya Manian, Deanne Taylor, and Catharine A. Conley. This preprint was posted on September 2, 2020 [...]

COV-IRT Collaboration (Preprint): Hidden genomic diversity of SARS-CoV-2: implications for qRT-PCR diagnostics and transmission

By |2020-07-17T03:57:08+00:00July 17th, 2020|

COV-IRT Collaboration (Preprint): Hidden genomic diversity of SARS-CoV-2: implications for qRT-PCR diagnostics and transmission This research was developed by the COV-IRT Subgroup: Viral Genomics and Evolution. Collaborators include Nicolae Sapoval, Medhat Mahmoud, Michael D. Jochum, Yunxi Liu, R. A. Leo Elworth, Dreycey Albin, Huw Ogilvie, [...]

COV-IRT Member Publication: Studies in humanized mice and convalescent humans yield a SARS-CoV-2 antibody cocktail

By |2020-07-17T03:31:37+00:00July 17th, 2020|

COV-IRT Member Publication: Studies in humanized mice and convalescent humans yield a SARS-CoV-2 antibody cocktail COV-IRT member, Matthew Frieman, is a co-author on this paper. This paper was published on June 15, 2020 in Science Magazine.  Abstract Neutralizing antibodies have become an important [...]

COV-IRT Member Publication: Detection of air and surface contamination by SARS-CoV-2 in hospital rooms of infected patients

By |2020-07-17T03:17:45+00:00July 17th, 2020|

COV-IRT Member Publication: Detection of air and surface contamination by SARS-CoV-2 in hospital rooms of infected patients COV-IRT member, Donald K. Milton, is a co-author on this paper. This paper was published on May 29, 2020 in Nature Communications.  Abstract Understanding the particle [...]

COV-IRT Member Publication: Respiratory virus shedding in exhaled breath and efficacy of face masks

By |2020-07-17T03:03:33+00:00July 17th, 2020|

COV-IRT Member Publication: Respiratory virus shedding in exhaled breath and efficacy of face masks COV-IRT member, Donald K. Milton, is a co-author on this paper. This paper was published on April 3, 2020 in Nature Medicine. Abstract We identified seasonal human coronaviruses, influenza [...]

COV-IRT Member Preprint: Analysis of Serologic Cross-Reactivity Between Common Human Coronaviruses and SARS-CoV-2 Using Coronavirus Antigen Microarray

By |2020-07-17T03:59:17+00:00July 17th, 2020|

COV-IRT Member Preprint: Analysis of Serologic Cross-Reactivity Between Common Human Coronaviruses and SARS-CoV-2 Using Coronavirus Antigen Microarray COV-IRT member, Donald K. Milton, is a co-author on this paper. This preprint was posted on March 25, 2020.  Abstract The current practice for diagnosis of [...]

COV-IRT Member Publication: Insights from nanomedicine into chloroquine efficacy against COVID-19

By |2020-07-17T04:03:33+00:00July 16th, 2020|

COV-IRT Member Publication: Insights from nanomedicine into chloroquine efficacy against COVID-19 COV-IRT member, Matthew Frieman, is a co-author on this paper. Published March 23, 2020 in Nature Nanotechnology Abstract Chloroquine — an approved malaria drug — is known in nanomedicine research for the [...]

COV-IRT Member Publication: The continued epidemic threat of SARS-CoV-2 and implications for the future of global public health

By |2020-07-17T04:02:11+00:00July 16th, 2020|

COV-IRT Member Publication: The continued epidemic threat of SARS-CoV-2 and implications for the future of global public health COV-IRT member Matthew B. Frieman is a co-author on this paper. Published in February of 2020 (Current Opinion in Virology). Abstract A new coronavirus (CoV) [...]

COV-IRT Co-Lead, Todd Treangen, Awarded C3.ai Digital Transformation Institute Funds

By |2020-07-06T17:08:25+00:00June 23rd, 2020|

C3.ai Digital Transformation Institute Announces COVID-19 Awards Todd Treangen Co-PI on computational biology project winning C3.ai DTI COVID-19 award: Mining Diagnostics Sequences for SARS-CoV-2 Using Variation-Aware, Graph-Based Machine Learning Approaches Applied to SARS-CoV-1, SARS-CoV-2, and MERS Datasets. (Nancy Amato, University of Illinois at Urbana-Champaign) (Todd [...]