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Hot Topics of the Day|PHGKB
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04/04/2021

Hot Topics of the Day are picked by experts to capture the latest information and publications on public health genomics and precision health for various diseases and health topics. Sources include published scientific literature, reviews, blogs and popular press articles.

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Concerns about SARS-CoV-2 evolution should not hold back efforts to expand vaccination
S Cobey et al, Nat Rev Immunology, April 2021

We propose that dose-sparing strategies, which could have large public health benefits, not be dismissed out of concern that they might promote immune escape in SARS-CoV-2. In fact, multiple lines of evidence suggest that expanded vaccination coverage could reduce the rate of immune escape, providing an additional benefit of dose sparing beyond its immediate impact on disease.

Here’s why Michigan’s covid spike is so scary
A El-Sayed, Washington Post, April 1, 2021

From Vaccine Nationalism to Vaccine Equity — Finding a Path Forward
IT Katz et al, NEJM, April 3, 2021

The complex bottlenecks in allocating and disseminating newly approved vaccines require urgent attention. They include ensuring production capacity, supply chains, human resources, and health infrastructures to deliver vaccines safely, effectively, and quickly. Barriers to vaccine uptake are augmented by mistrust, misinformation, and historical legacies affecting vaccine confidence.

Remote management of covid-19 using home pulse oximetry and virtual ward support.
Greenhalgh Trisha et al. BMJ (Clinical research ed.) 2021 3 n677

Pulse oximeters used at home can detect hypoxia associated with acute covid-19; Home oximetry requires clinical support, such as regular phone contact from a health professional in a virtual ward setting; More research is needed to understand the safety and effectiveness of home oximetry and to optimize service models and referral pathways.

COVIDOUTCOME – Estimating COVID Severity Based on Mutation Signatures in the SARS-CoV-2 Genome
A Nagy et al, BIORXIV, April 2, 2021

Numerous studies demonstrate frequent mutations in the genome of SARS-CoV-2. Our goal was to statistically link mutations to severe disease outcome. We used an automated machine learning approach where 1,594 viral genomes with available clinical follow-up data were used as the training set (797 - severe and 797 - mild). We identified 26 protein and UTR mutations significantly linked to severe outcome. The best algorithm uses a mutation signature of 22 mutations and patient age.

covid19.Explorer: A web application and R package to explore United States COVID-19 data
LJ Revell, MEDRXIV, April 4, 2021


Disclaimer: Articles listed in Hot Topics of the Day are selected by Public Health Genomics Branch to provide current awareness of the scientific literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the Clips, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
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