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Hot Topics of the Day|PHGKB
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07/17/2022

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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Archived Hot Topics of the Day By Date

Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions
JS Hinson et la, NPJ Digital Medicine, July 16, 2022

In this study, we developed, implemented and evaluated an electronic health record (EHR) embedded clinical decision support (CDS) system that leverages machine learning (ML) to estimate short-term risk for clinical deterioration in patients with or under investigation for COVID-19. The system translates model-generated risk for critical care needs within 24?h and inpatient care needs within 72?h into rapidly interpretable COVID-19 Deterioration Risk Levels made viewable within ED clinician workflow. ML models were derived in a retrospective cohort of 21,452 ED patients who visited one of five ED study sites and were prospectively validated in 15,670 ED visits.

Analysis of SARS-CoV-2 amino acid mutations in New York City Metropolitan wastewater (2020-2022) reveals multiple traits with human health implications across the genome and environment-specific distinctions
A Anand et al, MEDRXIV, July 17, 2022

Correlates of protection for booster doses of the BNT162b2 vaccine
T Hertz et al, MEDRXIV, July17, 2022

Assessment of COVID-19 hospitalization risk during SARS-CoV-2 Omicron relative to Delta variant predominance, New York City, August 2021-January 2022
SK Greene et al, MEDRXIV, July 17, 2022


Disclaimer: Articles listed in Hot Topics of the Day are selected by the CDC Office of Public Health Genomics 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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