Ups and downs in COVID-19 data may be caused by data reporting practices

As data accumulates on COVID-19 cases and deaths, researchers have observed patterns of peaks and valleys that repeat on a near-weekly basis. A study published this week in mSystems reports that those oscillations arise from variations in testing practices and data reporting, rather than from societal practices around how people are infected or treated.

Source: Ups and downs in COVID-19 data may be caused by data reporting practices

Author: Ralph Turchiano

In short, I review clinical research on an almost daily basis. What I post tends to be articles that are relevant to the readers in addition to some curiosities that have intriguing potential. As a hobby, I truly enjoy the puzzle-solving play that statistics and programming as in the python language bring to the table. I just do not enjoy problem-solving, I love problem-solving and the childlike inspiration and exploration of that innocent exhilaration of discovering something new. Enjoy ;-)