Last Posted: Jun-03-2023 06:33:29
Why the world needs more transparency on the origins of novel pathogens
M Venter, Nature, May 30, 2023
Assessing the potential of polygenic scores to strengthen medical risk prediction models of COVID-19.
Aldo Córdova-Palomera et al. PLoS One 2023 5 (5) e0285991
Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program.
M Daniel Brannock et al. Nat Commun 2023 5 (1) 2914
Use of digital technologies for public health surveillance during the COVID-19 pandemic: A scoping review.
Lorie Donelle et al. Digit Health 2023 5 20552076231173220
Gürsoy Ercan, et al. Multimedia systems 2023 0 0. (3) 1603-1627
Harnessing Machine Learning in Early COVID-19 Detection and Prognosis: A Comprehensive Systematic Review.
Dabbagh Rufaidah, et al. Cureus 2023 0 0. (5) e38373
Struggling With Recovery From Opioids: Who Is at Risk During COVID-19?
Keith Diana R, et al. Journal of addiction medicine 2023 0 0. (3) e156-e163
Retracted: IoT-Enabled Framework for Early Detection and Prediction of COVID-19 Suspects by Leveraging Machine Learning in Cloud.
Healthcare Engineering Journal Of, et al. Journal of healthcare engineering 2023 0 0. 9768467
Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19.
Menez Steven, et al. American journal of kidney diseases : the official journal of the National Kidney Foundation 2023 0 0.
Strategic and flexible LNG production under uncertain future demand and natural gas prices.
Yusuf Noor, et al. Heliyon 2023 0 0. (6) e16358
Triage and Diagnostic Accuracy of Online Symptom Checkers: Systematic Review.
Riboli-Sasco Eva, et al. Journal of medical Internet research 2023 0 0. e43803
Assessing Health Care Professionals' Mindset in Adopting Telemedicine Post COVID-19: Pilot Questionnaire Study.
Naghdi Rozhin, et al. JMIR formative research 2023 0 0. e44806
The Electronic Surviving Cancer Competently Intervention Program-a Psychosocial Digital Health Intervention for English- and Spanish-Speaking Parents of Children With Cancer: Protocol for Randomized Controlled Trial.
Canter Kimberly S, et al. JMIR research protocols 2023 0 0. e46339
A Web-Based Method for the Identification of IL6-Based Immunotoxicity in Vaccine Candidates.
Dhall Anjali, et al. Methods in molecular biology (Clifton, N.J.) 2023 0 0. 317-327
About COVID-19 GPH
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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In 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 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.
|Mechanism||Underlying 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|
|Diagnosis||Disease assessment through symptoms, test results, and radiological features|
|Prevention||Prevention, control, response and management strategies|
|Case Report||Descriptions of specific patient cases|
|Forecasting||Modelling and estimating the trend of covid-19 spread|
|Health Equity||Relevant 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.|
|Vaccine||Relevant to vaccine development, evaluation, implementation and impact. For additional information on vaccines and COVID-19. Check out general CDC Information pages|
|Variant||Relevant 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|
|Surveillance||Relevant to SARS-CoV-2 public health surveillance and tracking. For additional information on COVID-19 surveillance, check out CDC COVID-19 Data Tracker|
Wei Yu, Emily Drzymalla, Marta Gwinn and Muin J. Khoury. COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response. BMC Infectious Diseases (2022) 22:402.
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.
- Page last reviewed:Feb 1, 2023
- Page last updated:Jun 02, 2023
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