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COVID-19 GPH|Home|PHGKB Last data update: Jan 16, 2021 . (Total: 18914 Documents since 2020)

Last Posted: Jan-16-2021 00:00:00
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Emergence of SARS-CoV-2 B.1.1.7 Lineage — United States, December 29, 2020–January 12, 2021
SE Galloway et al, MMWR, January 15, 2021

Modeling data indicate that B.1.1.7 has the potential to increase the U.S. pandemic trajectory in the coming months. CDC’s system for genomic surveillance and the effort to expand sequencing will increase the availability of timely U.S. genomic surveillance data.

Immune determinants of COVID-19 disease presentation and severity.
Brodin Petter et al. Nature medicine 2021 Jan (1) 28-33

The most important determinant of disease severity is age, with individuals over 65 years having the greatest risk of requiring intensive care, and men are more susceptible than women. In contrast to other respiratory viral infections, young children seem to be less severely affected. It is now clear that mild to severe acute infection is not the only outcome of COVID-19, and long-lasting symptoms are also possible.

Is precision medicine relevant in the age of COVID-19?
Zhou Amy et al. Genetics in medicine : official journal of the American College of Medical Genetics 2021 Jan

Precision medicine and precision public health interventions in COVID-19 are promising but need to complement efforts to strengthen public health infrastructure and address fundamental social, economic, and environmental causes of illness.

Emergence and Evolution of a Prevalent New SARS-CoV-2 Variant in the United States
AA Pater et al, BIORXIV, January 13, 2021

Genomic virus surveillance can lead to early identification of new variants and inform proper response during a pandemic. Using this approach, we have identified a new variant of the SARS-CoV-2 virus that emerged in the United States (U.S.) early in the coronavirus disease (COVID-19) pandemic and has become one of the most prevalent U.S variants. This new variant within the B.1.2 lineage referred to here as 20C-US, has not yet spread widely to other countries.

news Latest News and Publications
Efficacy of broccoli and glucoraphanin in COVID-19: From hypothesis to proof-of-concept with three experimental clinical cases.
Bousquet Jean, et al. The World Allergy Organization journal 2021 1 0. (1) 100498

A systematic review and meta-analysis of pregnancy and COVID-19: Signs and symptoms, laboratory tests, and perinatal outcomes.
Hassanipour Soheil, et al. International journal of reproductive biomedicine 2020 12 0. (12) 1005-1018

Person to person transmission of pneumonia associated with the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): a familial cluster analysis in North Central Nigeria.
Akyala Adamu Ishaku, et al. The Pan African medical journal 2020 0 0. 99

An Evidence-based Protocol for Minimising Thromboembolic Events in SARS-CoV-2 Infection.
Arigondam Ashok Kumar, et al. Archives of medical research 2020 11 0.

Comparison of Deaths Rates for COVID-19 across Europe During the First Wave of the COVID-19 Pandemic.
Villani Leonardo, et al. Frontiers in public health 0 0 0. 620416

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Content Statistics

  • Total (18914)
  • Genomics Precision Health (15309)
  • Non-Genomics Precision Health (3514)

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 (GPH): 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 (non-GPH): 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.