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Hot Topics of the Day|PHGKB
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04/14/2020

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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Stanford Medicine scientists hope to use data from wearable devices to predict illness, including COVID-19
Stanford University, April 14, 2020

Incorporating Test Characteristics Into SARS-CoV-2 Testing Policy—Sense and Sensitivity
LM Marcotte et al, JAMA Health Forum April 14, 2020

COVID-19 test characteristics including sensitivity, specificity, and diagnostic yield are critical for understanding the risk of false-negatives in the context of community transmission and variable clinical symptoms.

Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period
SM Kissler et al, Science, April 14, 2020

We used estimates of seasonality, immunity, and cross-immunity for betacoronaviruses OC43 and HKU1 from time series data from the USA to inform a model of SARS-CoV-2 transmission. We projected that recurrent wintertime outbreaks of SARS-CoV-2 will probably occur after the initial, most severe pandemic wave.

Prediction models for diagnosis and prognosis in Covid-19
M Sperrin et al, BMJ Editorial, April 14, 2020

In just over three months, there were 27 studies with 31 models. This number highlights the importance of publishing the systematic review as a living review—continually updated as evidence mounts. Unfortunately, the review demonstrates that the quality of the identified models is uniformly poor and none can be recommended for clinical use.

Diagnostic Testing for Severe Acute Respiratory Syndrome–Related Coronavirus-2: A Narrative Review
MP CHeng et al, Annals Int Medicine, April 13, 2020

Real-time reverse transcriptase polymerase chain reaction–based assays performed in a laboratory on respiratory specimens are the reference standard for COVID-19 diagnostics. However, point-of-care technologies and serologic immunoassays are rapidly emerging. Although excellent tools exist for the diagnosis of symptomatic patients in well-equipped laboratories.

‘We need an army’: Hiring of coronavirus trackers seen as key to curbing disease spread
M Fox, Stat News, April 13, 2020

What We Know About The Silent Spreaders Of COVID-19
P Huang, NPR, April 13, 2020

A novel high specificity COVID-19 screening method based on simple blood exams and artificial intelligence
F Soarez et al, MEDRXIV, April 14, 2020

AI for the Eye — Automated Assistance for Clinicians Screening for Papilledema
I Kohane, NEJM, April 14, 2020

The fuel that has powered the recent success of machine learning has been the availability of two aspects of “big” data. The first is large data sets. Usually the largest and most representative data sets perform the best. The second aspect driving success in machine learning has been the availability of labels that describe the data.

Longevity Gene KLOTHO and Alzheimer Disease—A Better Fate for Individuals Who Carry APOE ε4
DB Dubbal et al, JAMA Neurology, April 13, 2020

A new meta-analysis provides strong evidence that individuals who carry APOE4 are not uniformly fated to develop AD and specifically establishes a protective role of KL-VS heterozygosity in the APOE4-AD risk. This work is important because it carries several implications for neurology, clinical trials, and translational research.


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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