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Hot Topics of the Day|PHGKB
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04/02/2020

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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Archived Hot Topics of the Day By Date

Manipulating the Human Microbiome for Precision Public Health: Prospects and Challenges
M Haile et al, CDC Blog, March 31, 2020 Brand

There are emerging and potential applications for manipulating the human microbiome for disease prevention and management. Progress in understanding how the human microbiome can be leveraged for public health is exemplified in recent CDC-funded studies.

In the Era of Public Health Emergencies, Interoperability Rules are a Beacon for More Precision in Public Health
P Braun, March 30, 2020 Brand

In the current wake of COVID-19, it is evident that the public health ecosystem needs to modernize how we gather, make sense of, and disseminate data from multiple sources. The health threats we face today spread wider and change faster than the data flows our traditional approaches were designed to accommodate.

Where America Didn’t Stay Home Even as the Virus Spread
J Glanz et al, NY Times, April 2, 2020

Anonymous cellphone data from 15 million people, suggests that Americans in wide swaths of the West, Northeast and Midwest have complied with orders from officials to stay home. Disease experts who reviewed the results say those reductions in travel — to less than a mile a day, may be enough to sharply curb the spread of the coronavirus in those regions.

With COVID-19, modeling takes on life and death importance
M Enserink et al, Science, March 27, 2020

Risk factors for severe corona virus disease 2019 (COVID-19) patients : a systematic review and meta analysis
L Xu et al, MEDRXIV, April 1, 2020

In this review and meta-analysis, we found that elderly male patients with a high body mass index, high breathing rate and a combination of underlying diseases (such as hypertension, diabetes, cardiovascular disease, and chronic obstructive pulmonary disease) were more likely to become critically ill.

Understanding COVID-19 spreading through simulation modeling and scenarios comparison: preliminary results
MEDRXIV, April 1, 2020

The aim of this study is to provide an open model (using STELLA® from Iseesystems) that can be customized to any area/region and by any user, allowing them to evaluate the different behavior of the COVID-19 dynamics under different scenarios.

Predicting Mortality Risk in Patients with COVID-19 Using Artificial Intelligence to Help Medical Decision-Making
M Pourhoumayoon et al, MEDRXIV, April 1, 2020

This study proposes an AI model to help hospitals and medical facilities decide who needs to get attention first, who has higher priority to be hospitalized, triage patients when the system is overwhelmed by overcrowding, and eliminate delays in providing the necessary care. The results demonstrate 93% overall accuracy in predicting the mortality rate.


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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