Coronavirus [NEW TOPIC PAGE]

Hot Topics of the Day|PHGKB

Where America Didn’t Stay Home Even as the Virus Spread
J Glanz et al, NY Times, April 2, 2020

Anonymous cellphone data from 15 million people, suggests that Americans in wide swaths of the West, Northeast and Midwest have complied with orders from officials to stay home. Disease experts who reviewed the results say those reductions in travel — to less than a mile a day, may be enough to sharply curb the spread of the coronavirus in those regions.

With COVID-19, modeling takes on life and death importance
M Enserink et al, Science, March 27, 2020

Risk factors for severe corona virus disease 2019 (COVID-19) patients : a systematic review and meta analysis
L Xu et al, MEDRXIV, April 1, 2020

In this review and meta-analysis, we found that elderly male patients with a high body mass index, high breathing rate and a combination of underlying diseases (such as hypertension, diabetes, cardiovascular disease, and chronic obstructive pulmonary disease) were more likely to become critically ill.

Understanding COVID-19 spreading through simulation modeling and scenarios comparison: preliminary results
MEDRXIV, April 1, 2020

The aim of this study is to provide an open model (using STELLA® from Iseesystems) that can be customized to any area/region and by any user, allowing them to evaluate the different behavior of the COVID-19 dynamics under different scenarios.

Predicting Mortality Risk in Patients with COVID-19 Using Artificial Intelligence to Help Medical Decision-Making
M Pourhoumayoon et al, MEDRXIV, April 1, 2020

This study proposes an AI model to help hospitals and medical facilities decide who needs to get attention first, who has higher priority to be hospitalized, triage patients when the system is overwhelmed by overcrowding, and eliminate delays in providing the necessary care. The results demonstrate 93% overall accuracy in predicting the mortality rate.