Tracking #COVID19: if you want to look at growth, it's log graphs that rule
https://www.nytimes.com/2020/03/20/health/coronavirus-data-logarithm-chart.html?smid=tw-nytimesscience&smtyp=cur … by @kchangnytpic.twitter.com/2LlO6REd8V
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Also to be taken with a grain of salt though. We know the US hasn't been able to capture a fraction of the positives that exist and are walking around right now...or sitting at home and practicing responsible social distancing. We hope.
Yet the doubling behavior is dominant, because it squashes out other factors (spotty testing, different routines in different parts of the country, uneven response by officials) that are unlikely to be changing at an exponential rate.
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We should be careful to distinguish between actual virus doubling rates and the numbers of infected people we see diagnosed through increasingly widespread testing in the US. We are so far behind on testing that the number of cases is skyrocketing at an apparently higher rate.
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Our apparent doubling rate remains much higher than other nations where testing has been more widespread, and every time we test we will have a higher likelihood of finding an infection we should've caught earlier. We don't know exactly where on the log curve we actually are.
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Do you have data on the total number of tests versus positives for each country over a period of time? How do the two countries compare?
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