Calculating your risk of death or hospitalization if you are infected with the coronavirus requires good data – notably, the total number of infections in the US. Unfortunately, that data is fuzzy.
Some countries report higher rates of COVID-19 cases and deaths among men. This might be due to underreporting among women with limited health access.
A new report uncovers how temperature-related deaths and hospital admissions have changed since 2001.
COVID-19 cases are skyrocketing across the US. Testing has ramped up over the past few months, but increasing hospitalizations, deaths and test-positivity rates show that the virus is out of control.
Death rates for hospitalized COVID-19 patients fell from 25.6% in March to 7.6% in August, according to a new study on three hospitals in New York. A study in the U.K. found similar results.
Some have suggested the US allow healthy people to return to normal life, catch the coronavirus and get the population to herd immunity. The science says this plan is doomed to fail from the start.
Health statisticians keep careful tabs on how many people die every week. Based on what's happened in past years, they know what to expect – but 2020 death counts are surging beyond predictions.
Using random testing, researchers in Indiana were able to calculate death rates by age, race, and sex and found sharp increases in risk of death among older and non-white state residents.
Health statisticians keep careful tabs on how many people die every week. Based on what's happened in past years, they know what to expect – but 2020 death counts are surging beyond predictions.
A team of researchers from Indiana University performed random testing for SARS-CoV-2 across the state. The results offer some of the most accurate data to date about important aspects of the virus.
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