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COVID-19 GPH|Home|PHGKB Last data update: Sep 29, 2022 . (Total: 39879 Documents since 2020)

Last Posted: Sep-29-2022 09:04:54
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Drug genetic associations with COVID-19 manifestations: a data mining and network biology approach
D Charitou et al, J PGX Journal, September 29, 2022

We statistically construct a pharmacogenetic/biomarker network with significant drug-gene interactions originating from gene-disease associations. Investigation of the predicted pharmacogenes encompassing the gene-disease-gene pharmacogenomics (PGx) network suggests that these genes could play a significant role in COVID-19 clinical manifestation due to their association with autoimmune, metabolic, neurological, cardiovascular, and degenerative disorders.

Interval between prior SARS-CoV-2 infection and booster vaccination impacts magnitude and quality of antibody and B cell responses
CM Buckner et al, Cell, September 26, 2022

Over a two-month period, we evaluated antibody and B-cell responses to a third dose mRNA vaccine in 66 individuals with different infection histories. Uninfected and post-boost but not previously infected individuals mounted robust ancestral and variant spike-binding and neutralizing antibodies, and memory B cells. Spike-specific B-cell responses from recent infection (< 180 days) were elevated at pre-boost but comparatively less so at 60 days post-boost compared to uninfected individuals, and these differences were linked to baseline frequencies of CD27lo B cells.

Duration of viral infectiousness and correlation with symptoms and diagnostic testing in non-hospitalized adults during acute SARS-CoV-2 infection: A longitudinal cohort study
PK Drain et al, MEDRXIV, September 27, 2022

During the 14 days following symptom onset, presence of N antigen (adjusted relative risk=7.66, 95% CI: 3.96-14.82), remained strongly associated with viral culture positivity, regardless of COVID-19 symptoms. Conclusions: Most adults have replication-competent SARS-CoV-2 for 10-14 after symptom onset, and N antigen testing is a strong predictor of viral infectiousness. Within two weeks from symptom onset, N antigen testing, rather than absence of symptoms or viral RNA, should be used to safely discontinue isolation.

Further humoral immunity evasion of emerging SARS-CoV-2 BA.4 and BA.5 subvariants
F Jian et al, The Lancet Infectious Diseases, September 27, 2022

Our findings suggest that significant humoral immune evasion, especially against convalescents from BA.4 and BA.5 breakthrough infection, contributes to the emergence and rapid spread of multiple Arg346-mutated BA.4 and BA.5 sublineages. The decreased neutralisation titres of plasma samples from BA.5 breakthrough-infection convalescents indicate worrisome potential reinfection of BA.4.6 after the recovery from BA.4 or BA.5 infection.

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Association of IFNAR2 rs2236757 and OAS3 rs10735079 polymorphisms with susceptibility to COVID-19 infection and severity
M Abdelhafez et al, MEDRXIV, September 27, 2022

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An AI-driven Digital Health solution to support clinical management of long COVID patients: prospective multicenter observational study.
Fuster-Casanovas Aïna, et al. JMIR research protocols 2022 0 0.

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Telehealth modulation and new proposals during the Covid-19 pandemic: a literature review.
Perrone G, et al. La Clinica terapeutica 2022 0 0. (5) 489-495

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Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Roth Holger R, et al. Medical image analysis 2022 0 0. 102605

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A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques.
Fatima Rubia, et al. Computational intelligence and neuroscience 2022 0 0. 6561622

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Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System.
Al-Barazanchi Israa, et al. Computational intelligence and neuroscience 2022 0 0. 9879259

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Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic.
Dami Sina, et al. World journal of clinical cases 2022 0 0. (26) 9207-9218

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Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review.
Bhosale Yogesh H, et al. Neural processing letters 2022 0 0. 1-53

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Prediction of Length of Hospital Stay of COVID-19 Patients Using Gradient Boosting Decision Tree.
Askari GholamReza, et al. International journal of biomaterials 2022 0 0. 6474883

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Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation.
Dai Tao, et al. Expert systems with applications 2022 0 0. 118841

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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.

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All Records39879
Genomics Precision Health28977
Non-Genomics Precision Health10902

Publication Categories Brand

Variants 10812
Vaccines 9419
Mechanism 8849
Treatment 8672
Diagnosis 6342
Prevention 4805
Surveillance 3477
Forecasting 3128
Transmission 1919
Health Equity 1018

Publication Types

PubMed Records29848
Online News/Reports/Publications431

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 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.