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COVID-19 GPH|Home|PHGKB Last data update: Aug 07, 2020 . (Total: 5774 Documents since 2020)
    What is Genomics/non-Genomics Precision Health?

Last Posted: Aug-07-2020 08:32:13
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Using a real-world network to model localized COVID-19 control strategies
JA Firth et al, Nature Medicine, August 7, 2020

It remains unclear how real-world social networks could influence the effectiveness and efficiency of such approaches. To address this issue, we simulated control strategies for SARS-CoV-2 transmission in a real-world social network generated from high-resolution GPS data.

Genetic variability in the expression of the SARS-CoV-2 host cell entry factors across populations
LO Fernandez et al, Genes and Immunity, August 6, 2020

We devised a quantitative measure to estimate genetic determinants of ACE2 and TMPRSS2 expression and applied this measure to >2500 individuals. Our data show significant variability in genetic determinants of expression among individuals and between populations, and indicate a predisposition for lower expression levels in African populations.

Clinical Course and Molecular Viral Shedding Among Asymptomatic and Symptomatic Patients With SARS-CoV-2 Infection in a Community Treatment Center in the Republic of Korea
S Lee et al, JAMA Internal Medicine, August 6, 2020

In this cohort study of 303 patients with SARS-CoV-2 infection isolated in a community treatment center in Korea, 110 (36.3%) were asymptomatic at the time of isolation and 21 (19.1%) developed symptoms during isolation. The threshold values of reverse transcription–polymerase chain reaction in asymptomatic patients were similar to those in symptomatic patients.

Exposure Density and Neighborhood Disparities in COVID-19 Infection Risk: Using Large-scale Geolocation Data to Understand Burdens on Vulnerable Communities
B Hong, et al, ARXIV, August 4, 2020

We develop a generalizable method for assessing neighborhood activity levels by land use type using smartphone geolocation data over a three-month period covering more than 12 million unique users within the Greater New York area. We measure and analyze disparities in community social distancing by identifying patterns in neighborhood activity levels.

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Smart Pooling: AI-powered COVID-19 testing
M Escobar et al, MEDRXIV<,August 5, 2020

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Massive and rapid COVID-19 testing is feasible by extraction-free SARS-CoV-2 RT-PCR
I Smyralcki et al, MEDRXIV, August 5, 2020

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Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis
MG Ferrarini et al, BIORXIV, August 5, 2020

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A distinct innate immune signature marks progression from mild to severe COVID-19
S Chevrier et al, BIORXIV, August 4, 2020

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Mining Google and Apple mobility data: Twenty-one shades of European social distancing measures for COVID-19
G Cacciapaglia et al, ARXIV< August 6, 2020

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How artificial intelligence (AI) could have helped our medical education during the COVID-19 pandemic - A student's perspective.
Abhee Stasha Sonia, et al. Medical teacher 2020 8 0. 1

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Bayesian inference of COVID-19 spreading rates in South Africa.
Mbuvha Rendani, et al. PloS one 2020 0 0. (8) e0237126

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CT Manifestations of Coronavirus Disease (COVID-19) Pneumonia and Influenza Virus Pneumonia: A Comparative Study.
Lin Liaoyi, et al. AJR. American journal of roentgenology 2020 7 0. 1-9

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SARS-CoV-2 may regulate cellular responses through depletion of specific host miRNAs.
Bartoszewski Rafal, et al. American journal of physiology. Lung cellular and molecular physiology 2020 8 0.

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Unique SARS-CoV-2 clusters causing a large COVID-19 outbreak in Hong Kong.
To Kelvin Kai-Wang, et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2020 8 0.

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About COVID-19 GPH

COVID-19 GPH is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that captures emerging discoveries and applications of genomics, molecular and other precision medicine and precision public health tools in the investigation and control of COVID-19. Contents include PubMed records via an automated pubmed search algorithm, preprint records from NIH iCite, the relevant information from many media sources picked by experts, and linkages to contents from our curated PHGKB databases.

Genomics Precision Health: The use of pathogen and human genomics and advanced molecular detection methods in discovery, clinical and public health investigations involving COVID-19.
Non Genomics Precision Health: The use of big data, data science and machine learning methods (not involving genomics) in discovery, clinical and public health investigations involving COVID-19

Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the 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 update, 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.