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COVID-10 GPH

COVID-19 GPH|Home|PHGKB Last data update: Mar 22, 2023 . (Total: 44626 Documents since 2020)
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Last Posted: Mar-22-2023 10:09:59
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Heterogeneous Treatment Effects of Therapeutic-Dose Heparin in Patients Hospitalized for COVID-19.
Ewan C Goligher et al. JAMA 2023 3

In an exploratory analysis of a multiplatform randomized trial of therapeutic-dose heparin for early-pandemic patients with moderate or severe COVID-19, 3 approaches for testing HTE—conventional subgroup analysis, risk-based analysis, and effect-based analysis—were congruent in findings that therapeutic-dose heparin was more likely to be beneficial in patients who were less severely ill at presentation or who had lower body mass index, and more likely to be harmful in sicker patients and those with higher body mass index. Benefits and harms of therapeutic-dose heparin varied by hospitalized COVID-19 patient characteristics, illustrating the importance of considering HTE in the design and analysis of randomized clinical trials.

The effect of SARS-CoV-2 variant on respiratory features and mortality.
Thomas D Hughes et al. Scientific reports 2023 3 (1) 4503

This study aimed to determine the effect of SARS-CoV-2 variants on respiratory features, mortality, and to determine the effect of vaccination status. A retrospective review of medical records (n = 55,406 unique patients) using the University of California Health COvid Research Data Set (UC CORDS) was performed to identify respiratory features, vaccination status, and mortality from 01/01/2020 to 04/26/2022. Variants were identified using the CDC data tracker. Vaccination status was associated with survival and a decreased frequency of many respiratory features. More recent SARS-CoV-2 variants show a reduction in lower respiratory tract features with an increase in upper respiratory tract features.

COVID-19 Forecasting and Mathematical Modeling
CDC, March 2023

CDC is working closely with state, tribal, local, and territorial health departments, and other public health partners, to respond to the COVID-19 pandemic. Forecasts of disease burden help inform public health decision making by projecting the likely impact of COVID-19 in the next few weeks. These forecasts are generated using mathematical models by CDC partners in the COVID-19 Forecast Hub. Forecasts are used to inform public health decisions about pandemic planning, resource allocation, implementation of social distancing measures, and other interventions.

School-Based Interventions to Increase Student COVID-19 Vaccination Coverage in Public School Populations with Low Coverage - Seattle, Washington, December 2021-June 2022.
Tarayn Fairlie et al. MMWR. Morbidity and mortality weekly report 2023 3 (11) 283-287

Vaccination decreases risk for COVID-19 illness, severe disease, and death. U.S. pediatric COVID-19 vaccination coverage remains low. Seattle Public Schools implemented a COVID-19 vaccination program through multiple community engagements. During December 2021–June 2022, completion of the primary COVID-19 vaccination series among Seattle Public Schools students aged 5–18 years increased from 56.5% to 80.3%.


news Latest News and Publications
Overview of the SARS-CoV-2 genotypes circulating in Latin America during 2021.
Jose Arturo Molina-Mora et al. Frontiers in public health 2023 3 1095202

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Genetic conservation across SARS-CoV-2 non-structural proteins - Insights into possible targets for treatment of future viral outbreaks.
Shubhangi Kandwal et al. Virology 2023 3 97-115

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Learning From COVID-19 to Improve Surveillance for Emerging Threats.
Daniel B Jernigan et al. American journal of public health 2023 3 e1-e3

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COVID-origins study links raccoon dogs to Wuhan market: what scientists think
Mallapaty S. Nature, Mar 21, 2023.

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Genetic evidence of susceptible wildlife in SARS-CoV-2 positive samples at the Huanan Wholesale Seafood Market, Wuhan: Analysis and interpretation of data released by the Chinese Center for Disease Control
Crits-Christoph A, et al. Zenodo, Mar 20, 2023.

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Searching for SARS-CoV-2 origins: confidence versus evidence
Lancet Microbe editorial, March 20, 2023

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An AI-enabled research support tool for the classification system of COVID-19.
Tiwari Arti, et al. Frontiers in public health 2023 0 0. 1124998

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Using Wearable Technology to Quantify Physical Activity Recovery: Secondary Report From the AFTER (App-Facilitated Tele-Rehabilitation) Program for COVID-19 Survivors Randomized Study.
Churchill Laura, et al. JMIR rehabilitation and assistive technologies 2023 0 0. e43436

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Covid-19 variants of concern and pregnancy.
Stock Sarah J, et al. BMJ medicine 2023 0 0. (1) e000151

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Covid-19: virology, variants, and vaccines.
Young Megan, et al. BMJ medicine 2023 0 0. (1) e000040

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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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Summary

All Records44626
Genomics Precision Health32632
Non-Genomics Precision Health11994

Publication Categories Brand

Variants 13242
Vaccines 11165
Treatment 10498
Mechanism 10316
Diagnosis 7612
Prevention 5326
Surveillance 3932
Forecasting 3478
Transmission 2135
Health Equity 1145

Publication Types

PubMed Records34165
Preprints10015
Online News/Reports/Publications433

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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