Cardiac Injury Prediction In COVID-19 Patients In this article from the International Journal of Cardiology, data from 124 consecutive hospitalized patients with COVID-19 were collected. The authors attempt to determine risk factors and predictive markers of cardiac injury in COVID-19
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In this study, 10 independent clinical predictors were identified and used to develop a risk score (COVID-GRAM) that predicts development of critical illness from COVID-19. Study took place in China: A retrospective cohort of patients with COVID-19 was established as
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Review: Estimating the infection fatality rate among symptomatic COVID-19 cases in the United States
A new study estimates that COVID-19 kills 1.3% of symptomatic people, substantially more than seasonal influenza. Further, and could kill 500,000 Americans in the coming months if as many people contract the highly-contagious virus this year as contracted the seasonal
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Rapid and accurate tracking of aggregate population movement may be epidemiologically informative in outbreak situations. This article describes a new method developed to accurately track the spread of COVID-19 using population flow data. Using mobile-phone-data-based counts of 11,478,484 people leaving
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This Viewpoint discusses the challenges of accurately modeling the COVID-19 pandemic and reviews principles that will make some models more useful than others, such as use of granular local data when available, regular updating and revision, and specification of uncertainty
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This report details efforts to use mathematical models that predict the spread of the SARS-CoV-2 virus. Governments across the world are relying on mathematical projections to help guide decisions in this pandemic. Computer simulations account for only a fraction of
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