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COVID-10 GPH

COVID-19 GPH|Home|PHGKB Last data update: May 22, 2022 . (Total: 35772 Documents since 2020)
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Last Posted: May-22-2022 06:33:48
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CDC Strengthens Recommendations and Expands Eligibility for COVID-19 Booster Shots
CDC, May 19, 2022

CDC expanded eligibility for COVID-19 vaccine booster doses. Children 5 through 11 should receive a booster dose at least 5 months after their primary series. Vaccination with a primary series among this age group has lagged behind other age groups leaving them vulnerable to serious illness. With over 18 million doses administered in this age group, we know that these vaccines are safe, and we must continue to increase the number of children who are protected.

Omicron BA.1/1.1 SARS-CoV-2 Infection among Vaccinated Canadian Adults.
Brown Patrick E et al. The New England journal of medicine 2022 5

Despite the finding of widespread infection, the age-specific patterns caution against the notion that the omicron BA.1/1.1 variant will immunize everyone. In contrast to younger adults, persons 60 years of age or older face the highest rates of hospitalization and death but have the lowest rates of combined infection and vaccination. Strategies to build an immunity wall will continue to depend on high coverage levels of vaccination.

Neutralization of the SARS-CoV-2 Deltacron and BA.3 Variants.
Evans John P et al. The New England journal of medicine 2022 5

Our results indicate that BA.3 is not a substantial immune-escape variant, a finding that is likely due to its reduced number of mutations in the receptor-binding domain as compared with the BA.1 and BA.2 variants. However, the deltacron variant retains the strong resistance of other omicron sublineages and has no enhanced sensitivity to serum obtained during the delta wave.

Routine Surveillance and Vaccination on a University Campus During the Spread of the SARS-CoV-2 Omicron Variant
GR Meredith e al, JAMA Network Open, May 18, 2022

The Omicron variant is highly transmissible, particularly in high-density social settings.5,6 Based on analysis of routinely collected population surveillance data, Cornell’s experience shows that traditional public health interventions were not a match for Omicron. While vaccination protected against severe illness, it was not sufficient to prevent rapid spread, even when combined with other public health measures including widespread surveillance testing.


news Latest News and Publications
Predicting the Disease Severity of Virus Infection.
Qi Xin, et al. Advances in experimental medicine and biology 2022 0 0. 111-139

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5G, Big Data, and AI for Smart City and Prevention of Virus Infection.
Ren Shumin, et al. Advances in experimental medicine and biology 2022 0 0. 189-214

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An individualized algorithm to predict mortality in COVID-19 pneumonia: a machine learning based study.
Laino Maria Elena, et al. Archives of medical science : AMS 2022 0 0. (3) 587-595

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Remote Auscultation of Heart and Lungs as an Acceptable Alternative to Legacy Measures in Quarantined COVID-19 Patients-Prospective Evaluation of 250 Examinations.
Haskel Or, et al. Sensors (Basel, Switzerland) 2022 0 0. (9)

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Evaluating the Implementation of a Mental Health App for Overseas Filipino Workers in Macao China: A Mixed-Methods Study of Stakeholders' Perspectives.
Liem Andrian, et al. Frontiers in psychiatry 2022 0 0. 836156

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12 Plagues of AI in Healthcare: A Practical Guide to Current Issues With Using Machine Learning in a Medical Context.
Doyen Stephane, et al. Frontiers in digital health 2022 0 0. 765406

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Modeling Users' Cognitive Performance Using Digital Pen Features.
Prange Alexander, et al. Frontiers in artificial intelligence 2022 0 0. 787179

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Deep Spatiotemporal Model for COVID-19 Forecasting.
Muñoz-Organero Mario, et al. Sensors (Basel, Switzerland) 2022 0 0. (9)

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The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis.
Kuo Kuang-Ming, et al. International journal of medical informatics 2022 0 0. 104791

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Identifying who has long COVID in the USA: a machine learning approach using N3C data.
Pfaff Emily R, et al. The Lancet. Digital health 2022 0 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 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.
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Summary

All Records35772
Genomics Precision Health25845
Non-Genomics Precision Health9927

Special Topics

Publication Categories Brand

Variants 8721
Vaccines 7946
Mechanism 7646
Treatment 7267
Diagnosis 5239
Prevention 4209
Surveillance 3030
Forecasting 2772
Transmission 1610
Health Equity 914

Publication Types

PubMed Records26278
Preprints9050
Online News/Reports/Publications431

In PHGKB Databases

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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.

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