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Infectious Disease PHGKB

Specific PHGKB|Infectious Diseases PHGKB|PHGKB
Last Posted: May 27, 2023
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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

In UK Biobank participants of European ancestry, the model achieved a relatively high performance (area under the receiver operating characteristic curve ~90%). Polygenic scores for COVID-19 computed from summary statistics of the Covid19 Host Genetics Initiative displayed significant associations with COVID-19 in the UK Biobank (p-values as low as 3.96e-9, all with R2 under 1%), but were unable to robustly improve predictive performance of the non-genetic factors.

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

We used electronic health records available through the National COVID Cohort Collaborative to characterize the association between SARS-CoV-2 vaccination and long COVID diagnosis. We found that vaccination was consistently associated with lower odds and rates of long COVID clinical diagnosis and high-confidence computationally derived diagnosis after adjusting for sex, demographics, and medical history.

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

The most frequently used technologies included mobile phone devices and applications, location tracking technologies, drones, temperature scanning technologies, and wearable devices. The utility of digital technologies for public health surveillance was impacted by factors including uptake of digital technologies across targeted populations, technological capacity and errors, scope, validity and accuracy of data, guiding legal frameworks, and infrastructure to support technology use.

De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository.
Emily R Pfaff et al. J Am Med Inform Assoc 2023 5

As part of the NIH Researching COVID to Enhance Recovery (RECOVER) Initiative, researchers with the National COVID Cohort Collaborative (N3C) devised and trained an ML-based phenotype to identify patients highly probable to have Long COVID. Supported by RECOVER, N3C and NIH's All of Us study partnered to reproduce the output of N3C's trained model in the All of Us data enclave, demonstrating model extensibility in multiple environments


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A Comparison of Clinical Presentations in Coronavirus Disease 2019 Caused by Different Omicron variants in Japan: A Retrospective Study. External Web Site Icon
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A modeling-based approach to optimize COVID-19 vaccine dosing schedules for improved protection. External Web Site Icon
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A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis. External Web Site Icon
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Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net. External Web Site Icon
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Deep Convolutional Neural Networks for Detecting COVID-19 Using Medical Images: A Survey. External Web Site Icon
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Deep Learning Model for COVID-19 Sentiment Analysis on Twitter. External Web Site Icon
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Immune Responses 6 Months After mRNA-1273 COVID-19 Vaccination and the Effect of a Third Vaccination in Patients with Inborn Errors of Immunity. External Web Site Icon
van Leeuwen Leanne P M, et al. Journal of clinical immunology 2023 0 0.
SARS-CoV-2 omicron variants harbor spike protein mutations responsible for their attenuated fusogenic phenotype. External Web Site Icon
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The influence of pediatricians' recommendation on caregivers' COVID-19 vaccine acceptance for children: A nationwide cross-sectional survey study from USA. External Web Site Icon
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Inadvertent human genomic bycatch and intentional capture raise beneficial applications and ethical concerns with environmental DNA. External Web Site Icon
Liam Whitmore et al. Nat Ecol Evol 2023

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Disclaimer: Articles listed in the Public 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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