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Hot Topics of the Day|PHGKB
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07/16/2020

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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Detection and Genetic Characterization of Community-Based SARS-CoV-2 Infections — New York City, March 2020
D Bushman et al, CDC MMWR, July 17, 2020

The NYC sentinel surveillance of influenza-like symptoms (ILS) and genetic sequencing characterized community transmission and determine the geographic origin of SARS-CoV-2 infections. Of 544 specimens from persons with ILS and negative influenza test results, 6.6% were positive. Genetic studies showed most closely resembled sequences circulating in Europe.

Covid-19 Risk Doesn’t Depend (Much) on Blood Type, New Studies Find- New studies show that people with Type A blood are not at greater risk of getting sick, as previous studies had suggested.
C Zimmer, NY Times, July 15, 2020

Racial Health Disparities and Covid-19 - Caution and Context.
Chowkwanyun Merlin et al. The New England journal of medicine 2020 Jul (3) 201-203

In documenting Covid-19 racial disparities, it is important that we contextualize such data with adequate analysis. Disparity figures without explanatory context can perpetuate harmful myths and misunderstandings that actually undermine the goal of eliminating health inequities.

Factors Associated With Death in Critically Ill Patients With Coronavirus Disease 2019 in the US
S Gupta et al, JAMA Internal Medicine, July 15,2020

In a cohort of 2215 adults with COVID-19 who were admitted to intensive care units at 65 sites, 784 (35.4%) died within 28 days, with wide variation among hospitals. Factors associated with death included older age, male sex, obesity, coronary artery disease, cancer, acute organ dysfunction, and admission to a hospital with fewer intensive care unit beds.

An invisible hand: Patients aren’t being told about the AI systems advising their care
R Robbins et al, STAT News, July 15, 2020

At a growing number of prominent hospitals and clinics around the country, clinicians are turning to AI-powered decision support tools — many of them unproven — to help predict whether hospitalized patients are likely to develop complications or deteriorate. But patients and family members are often not informed about or asked to consent to the use of these tools.


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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