Last Update Date: Apr 26, 2020
- The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak.
Chinazzi Matteo et al. Science (New York, N.Y.) 2020 Apr 368(6489) 395-400 - Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: a Feasibility Study
D Brinati et al MEDRXIV, April 25, 2020 - The role of comorbidities and clinical predictors of severe disease in COVID-19: a systematic review and meta-analysis
R Tabrizi et al, MEDRXIV, April 26, 2020 - An international characterisation of patients hospitalised with COVID-19 and a comparison with those previously hospitalised with influenza
A Burn et al, MEDRXIV, April 26, 2020 - Using Digital Technologies in Precision Public Health: COVID-19 and Beyond
MJ Khoury et al, CDC Blog, April 2020 - UK Biobank-COVID-19 Data Release
UK Biobank, April 2020 - Why The True Fatality Rate Of COVID-19 Is Hard To Estimate
All Things Considered, NPR, April 24, 2020 - Why Forecasting COVID-19 Deaths in the US is Critical
CDC, April 2020 - Doctors are using AI to triage covid-19 patients. The tools may be here to stay: Faced with staff shortages and overwhelming patient loads, a growing number of hospitals are turning to automated tools to help them manage the pandemic.
K Hao, Tech Review, April 23, 2020 - Hospitals are using AI to predict the decline of Covid-19 patients — before knowing it works
C Ross, StatNews, April 24, 2020 - Can cell therapies halt cytokine storm in severe COVID-19 patients?
J Ankrum, Sci Trans Med, April 22, 2020 - Renin-Angiotensin-Aldosterone System Inhibitors in Patients with Covid-19.
Vaduganathan Muthiah et al. The New England journal of medicine 2020 382(17) 1653-1659 - Prediction Models - Development, Evaluation, and Clinical Application.
Pencina Michael J et al. The New England journal of medicine 2020 Apr 382(17) 1583-1586 - Nearly All Patients Hospitalized With Covid-19 Had Chronic Health Issues, Study Finds- Only 6 percent of patients at one New York area health system had no chronic conditions. Hypertension, obesity and diabetes were common.
RC Rabin, NY Times, April 23, 2020 - Why Are Some Young, Healthy People Getting Severe COVID-19?
K Rogers, FiveThirtyEight, April 23, 2020 - Hospitals are using AI to predict the decline of Covid-19 patients — before knowing it works
C Ross, StatNews, April 24, 2020 - A cell phone data driven time use analysis of the COVID-19 epidemic
EP Fenichel et al, MEDRXIV, April 243 2020 - Higher mortality in men from COVID19 infection-understanding the factors that drive the differences between the biological sexes.
SP Lyer et al, MEDRXIV, April 24, 2020 - The Challenge of Tracking COVID-19’s Stealthy Spread
NIH Director's Blog, April 23, 2020 - Cardiovascular Complications of COVID-19
M McGowan, The FH Foundation, April 22, 2020
Disclaimer: Articles listed in Non-Genomics Precision Health Update 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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