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COVID-10 GPH

COVID-19 GPH|Home|PHGKB Last data update: Nov 29, 2023 . (Total: 46600 Documents since 2020)
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Last Posted: Nov-29-2023 05:34:01
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The Ethics of Using COVID-19 Host Genomic Information for Clinical and Public Health Decision-making: A Survey of US Health Professionals.
Sheethal Jose et al. HGG Adv 2023 11 100255

From the abstract: "In 2021, a cross-sectional online survey was fielded to US health professionals. The survey explored how they view the value and ethical acceptability of using COVID-19 host genomic information in three main decision-making settings: (1) clinical, (2) public health, and (3) workforce. The survey also assessed participants' personal and professional experience with genomics and infectious diseases and collected key demographic data. A total of 603 participants completed the survey. A majority (84%) of participants agreed that it is ethically acceptable to use host genomics to make decisions about clinical care and 73% agreed that genetic screening has an important role to play in the public health control of COVID-19. However, more than 90% disagreed that it is ethically acceptable to use host genomics to deny resources or admission to individuals when hospital resources are scarce. "

mRNA SARS-CoV-2 Vaccination Before vs During Pregnancy and Omicron Infection Among Infants.
Orlanda Goh et al. JAMA Netw Open 2023 11 (11) e2342475

From the abstract: "s maternal vaccination associated with a lower risk of infection with Omicron SARS-CoV-2 variants, including XBB, among infants up to 6 months of age? In this national population-based cohort study of 7292 infants aged 6 months or younger in Singapore, the estimated vaccine effectiveness in infants against Omicron SARS-CoV-2 variants, including XBB, from maternal messenger RNA (mRNA) SARS-COV-2 vaccination was 42%. A lower risk of infection was only found in infants when the vaccine was administered during pregnancy. "

Changes in SARS-CoV-2 Sequence Linked With Antiviral Use.
Emily Harris et al. JAMA 2023 10 (16) 1515

From the article: " The antiviral drug molnupiravir was linked with a pattern of genomic changes in SARS-CoV-2, based on an analysis of more than 15 million global sequences. Molnupiravir is converted in the body to a nucleotide that is incorporated into the virus’ genome, introducing errors into the sequence. These errors tend to reduce the number of surviving viral progeny, giving the immune system a better chance of clearing the virus. However, if a person is unable to fully clear the virus, some of the viral progeny with genomic changes can be passed along to other hosts. "

mRNA COVID vaccines saved lives and won a Nobel - what's next for the technology?
Elie Dolgin et al. Nature 2023 10

From the paper: "In just three short years, mRNA vaccines have saved millions of lives, achieved household recognition and, as of this week, become the subject of a Nobel Prize. Yet the field shows no signs of slowing down. Vaccines based on mRNA rose to fame not only for their safety and efficacy, but also for the speed with which they were developed and rolled out during the COVID-19 pandemic. "


news Latest News and Publications
Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers.
Tulu Thomas Wetere, et al. BMC digital health 2023 0 0. (1) 6

New Added Today


Application of machine learning models to identify serological predictors of COVID-19 severity and outcomes.
Klein Sabra, et al. Research square 2023 0 0.

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Application of Machine Learning Prediction of Individual SARS-CoV-2 Vaccination and Infection Status to the French Serosurveillance Survey From March 2020 to 2022: Cross-Sectional Study.
Bougeard Stéphanie, et al. JMIR public health and surveillance 2023 0 0. e46898

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Real-world Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents.
Wu Qiong, et al. medRxiv : the preprint server for health sciences 2023 0 0.

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Genomic analysis of SARS-CoV-2 omicron sublineage BA.5.2.1 in Erbil/Iraq.
Majed Sevan Omer, et al. Cellular and molecular biology (Noisy-le-Grand, France) 2023 0 0. (11) 56-63

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Plasmonic digital PCR for discriminative detection of SARS-CoV-2 variants.
Kim Kyung Ho, et al. Biosensors & bioelectronics 2023 0 0. 115859

New Added Today


Single-molecule force stability of the SARS-CoV-2-ACE2 interface in variants-of-concern.
Bauer Magnus S, et al. Nature nanotechnology 2023 0 0.

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A web-based genome-wide association study reveals the susceptibility loci of common adverse events following COVID-19 vaccination in the Japanese population.
Nogawa Shun, et al. Scientific reports 2023 0 0. (1) 20820

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C1 esterase inhibitor-mediated immunosuppression in COVID-19: Friend or foe?
Hausburg Melissa A, et al. Clinical immunology communications 2023 0 0. 83-90

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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 capture 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.

Site Citation:
Wei Yu, et al. COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response. BMC Infectious Diseases (2022) 22:402.

update trend

Summary

All Records46600
Genomics Precision Health34094
Non-Genomics Precision Health12506

Publication Categories Brand

Variants 14092
Vaccines 11769
Treatment 11174
Mechanism 10849
Diagnosis 8175
Prevention 5587
Surveillance 4237
Forecasting 3684
Transmission 2252
Health Equity 1192

Publication Types

PubMed Records35999
Preprints10154
Online News/Reports/Publications434

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


Following categories are annotated by LitCovid from NCBI NIH.
MechanismUnderlying cause(s) of covid-19 infections and transmission & possible drug mechanism of action
Transmission Characteristics and modes of covid-19 transmissions, such as human-to-human
DiagnosisDisease assessment through symptoms, test results, and radiological features
PreventionPrevention, control, response and management strategies
Case ReportDescriptions of specific patient cases
ForecastingModelling and estimating the trend of covid-19 spread

Following categories are annotated by the text mining tool from CDC PHGKB
Health EquityRelevant to health equity. Search terms are derived from a list provided by the Association for Territorial Health Officials which include terms such as diversity, health disparities, and others.
VaccineRelevant to vaccine development, evaluation, implementation and impact. For additional information on vaccines and COVID-19. Check out general CDC Information pages
VariantRelevant to SARS-CoV-2 variants and their impact on public health. For additional information on variants COVID-19. Check out CDC New Variants of the Virus that Causes COVID-19 page
SurveillanceRelevant to SARS-CoV-2 public health surveillance and tracking. For additional information on COVID-19 surveillance, check out CDC COVID-19 Data Tracker

Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Genomics and Precision Public Health 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.

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