Coronavirus Disease PHGKB|Home|PHGKB

Coronavirus Disease PHGKB|Home|PHGKB

 Spotlight on COVID-19

Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal
L Wynants et al, BMJ, April 7, 2020

This review critically appraises published and preprint reports of prediction models for diagnosing coronavirus disease 2019 (covid-19) in patients with suspected infection, for prognosis of patients with covid-19, and for detecting people in the general population at risk of being admitted to hospital for covid-19 pneumonia.

Hunt Is on for Genetic Clues to Why Coronavirus Impact Varies
AD Marcus, WSJ, April 7, 2020

Scientists around the world are pooling their knowledge and resources to determine whether gene variations make people more susceptible to serious Covid-19 infection, hoping to learn why some patients’ coronavirus symptoms are quite mild while others’ are severe.

Rapid implementation of mobile technology for real-time epidemiology of COVID-19
DA Drew et al, MEDRXIV, April 6, 2020

The COronavirus Pandemic Epidemiology (COPE) consortium brings together scientists with expertise in big data research and epidemiology to develop a COVID-19 Symptom Tracker mobile application garnering more than 2.25 million users to date. This mobile application offers data on risk factors, herald symptoms, clinical outcomes, and geographical hot spots.

COVID-19 PM2.5: A national study on long-term exposure to air pollution and COVID-19 mortality in the United States
Harvard University, April 6, 2020

Data was collected for approximately 3,000 counties in the United States (98% of the population) up to April 04, 2020. The study found that an increase of only 1 µg/m3 in PM2.5 is associated with a 15% increase in the COVID-19 death rate, 95% confidence interval (CI) (5%, 25%). Results are statistically significant and robust to secondary and sensitivity analyses.