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Hot Topics of the Day|PHGKB
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07/28/2022

Hot Topics of the Day are picked by experts to capture the latest information and publications on public health genomics and precision health for various diseases and health topics. Sources include published scientific literature, reviews, blogs and popular press articles.

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Archived Hot Topics of the Day By Date

Detection of monkeypox viral DNA in a routine wastewater monitoring program
MK Wolfe et al, MEDRXIV, July 26, 2022

To test whether monkeypox can be detected and monitored in wastewater during a period when publicly reported monkey cases in the region were increasing, we deployed digital PCR assays that target genomic DNA from the monkeypox virus in our routine, ongoing wastewater surveillance program in the Greater Bay Area of California, USA. We measured monkeypox virus DNA daily in settled solids samples from nine wastewater plants over the period of approximately 4 weeks. During that period, we detected monkeypox virus DNA in wastewater solids at nearly all the wastewater plants we routinely sample.

Precision Medicine in Diabetes, Current Research and Future Perspectives
R Franceschi, J Per Medicine, July 28, 2022

Recently the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) have jointly released an expert opinion-based consensus report on precision medicine. The report defines precision diabetes medicine as “an approach to optimize the diagnosis, prediction, prevention, or treatment of diabetes by integrating multidimensional data, accounting for individual differences”, and it is characterized by six categories; precision diagnosis, precision therapeutics, precision prevention, precision treatment, precision prognosis and precision monitoring. Precision medicine in diabetes utilizes the individual’s unique genetic makeup, environment or context data (that can be collected from clinical records, wearable technology, genomics and other ‘omics data) and allows one to appreciate individual characteristics, differences, circumstances and preferences

Identification of robust deep neural network models of longitudinal clinical measurements
H Javidi et al, NPJ Digital Medicine, July 27, 2022

Deep learning (DL) from electronic health records holds promise for disease prediction, but systematic methods for learning from simulated longitudinal clinical measurements have yet to be reported. We compared nine DL frameworks using simulated body mass index (BMI), glucose, and systolic blood pressure trajectories, independently isolated shape and magnitude changes, and evaluated model performance across various parameters (e.g., irregularity, missingness).

Modelling the impact of Omicron and emerging variants on SARS-CoV-2 transmission and public health burden
EA Le Rutte et al, Comm Medicine, July 25, 2022

We show that, with first-generation SARS-CoV-2 vaccines and limited physical distancing in place, a VOC’s potential future dominance is primarily driven by its infectivity, which does not always lead to an increased public health burden. However, we also show that highly immune-evading variants that become dominant, even in the case of reduced variant severity, would likely require alternative measures to avoid strain on health systems, such as strengthened physical distancing measures, novel treatments, and second-generation vaccines. Expanded vaccination, that includes a booster dose for adults and child vaccination strategies, is projected to have the biggest public health benefit for a highly infective, highly severe VOC with low immune-evading capacity.


Disclaimer: Articles listed in Hot Topics of the Day are selected by the CDC Office of Genomics and Precision Public Health to provide current awareness of the scientific 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 Clips, 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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