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Hot Topics of the Day|PHGKB
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11/26/2019

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

Evidence That Established Lung Cancer Mortality Disparities in American Indians Are Not Due to Lung Cancer Genetic Testing and Targeted Therapy Disparities.
Begnaud Abbie et al. Clinical lung cancer 2019 Oct

American Indians and Alaska Natives (AI/AN) continue to experience extreme lung cancer health disparities. In this Minnesota study, there was no significant difference in mutation testing in AI compared to non-AI controls at large health care systems. These data indicate that other factors are likely contributing to the higher mortality in this group.

Advancing the Promise of Digital Technology and Social Media to Promote Population Health.
Allegrante John P et al. Health education & behavior : the official publication of the Society for Public Health Education 2019 Dec 46(2_suppl) 5-8

We launched the 2018 Summit because of the ubiquity of digital technology and reach of social media, it had become apparent to us that the time was right to bring greater focus to the promise that digital technology and social media hold for improving the public's health.

Improving the geographical precision of rural chronic disease surveillance by using emergency claims data: a cross-sectional comparison of survey versus claims data in Sullivan County, New York.
Lee David C et al. BMJ open 2019 Nov 9(11) e033373

For select conditions, emergency claims data may be useful for tracking disease prevalence in rural areas and providing more geographically detailed estimates. For rural regions lacking robust health surveillance, emergency claims data can inform how to geographically target efforts to prevent chronic disease.

Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.
Reich Nicholas G et al. PLoS computational biology 2019 Nov 15(11) e1007486

In the 2017/2018 influenza season, one of the largest seasonal outbreaks in the last 15 years, this multi-model ensemble performed better on average than all individual component models and placed second overall in the CDC challenge. It also outperformed the baseline multi-model ensemble created by the CDC


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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