Coronavirus Disease Portal|Home|PHGKB

Coronavirus Disease Portal|Home|PHGKB

 Spotlight on COVID-19

Assessment of Specimen Pooling to Conserve SARS CoV-2 Testing Resources
B Abdalhamid et al, MEDRXIV, April 21, 2020

When the incidence rate of SARS-CoV-2 infection is 10% or less, group testing will result in the saving of reagents and personnel time with an overall increase in testing capability of at least 69%.

Sequencing analysis of the spread of SARS-CoV2 in the Greater New York City region
MT Maurano et al, MEDRXIV, April 21, 2020

Here, we report analysis of 156 SARS-CoV2 sequences from individuals in the New York City metropolitan area during the initial stages of the 2020 COVID-19 outbreak. The majority of samples had no recent travel history or known exposure. Comparison to global viral sequences showed that the majority of sequences were most related to samples from Europe.

Development and validation of an early warning score (EWAS) for predicting clinical deterioration in patients with coronavirus disease 2019
Y Guo et al, MEDRXIV, April 21, 2020

An Early WArning Score (EWAS) (ranging from 0 to 4.5), comprising of age, underlying chronic disease, neutrophil to lymphocyte ratio, C-reactive protein, and D-dimer levels, was developed (AUROC: 0.857). EWAS can predict COVID-19-related clinical deterioration and may be a useful tool for reducing mortality in highly endemic areas.

Self-reported COVID-19 Symptoms Show Promise for Disease Forecasts
Carnegie-Mellon University, April 20, 2020

Delphi uses two main approaches to forecasts, both of which have proven effective regarding the flu. One, called Crowdcast, is a "wisdom of the crowds" approach, which bases its predictions on the aggregate judgments of human volunteers who submit weekly estimates. The other uses machine learning to recognize patterns in health care data that relate to past experience.