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Back in mid-April some commentary/news was that the US was not doing enough testing as evidenced by the test positivity rate:

America’s 20 percent positivity rate is disquieting. The U.S. did almost 25 times as many tests on April 15 as on March 15, yet both the daily positive rate and the overall positive rate went up in that month. [...] when tests are rationed so strictly, only people with severe symptoms make it into the testing pool, ensuring that the positivity rate will be extremely high. [...]

The test-positivity rate, then, is a decent (if unusual) proxy for the severity of an outbreak in an area. And it shows clearly that the U.S. still lags far behind other countries in the course of fighting its outbreak. South Korea—which discovered its first coronavirus case on the same day as the U.S.—has tested more than half a million people, or about 1 percent of its population, and discovered about 10,500 cases. The U.S. has now tested 3.2 million people, which is also about 1 percent of its population, but it has found more than 630,000 cases. So while the U.S. has a 20 percent positivity rate, South Korea’s is only about 2 percent—a full order of magnitude smaller.

South Korea is not alone in bringing its positivity rate down: America’s figure dwarfs that of almost every other developed country. Canada, Germany and Denmark have positivity rates from 6 to 8 percent. Australia and New Zealand have 2 percent positivity rates. Even Italy—which faced one of the world’s most ravaging outbreaks—has a 15 percent rate. [...] New York City’s positivity rate is an astonishing 55 percent.

US officials actually acknowledge this problem and the WHO guidelines of bringing down the positivity rate under 10%; April 22 news:

But how much testing is enough?

There's no exact number to aim for, but here's a guiding principle: You want a low percentage of your tests to come back positive, around 10% or even lower, says William Hanage, an epidemiologist at Harvard.

That 10% benchmark is based on recommendations from the World Health Organization. Why should positives be low? If a high percentage of tests come back positive, it's clear there's not enough testing to capture all of the infected people in the community. "The lower the percentage of tests you're doing that come back positive, the better," Hanage says.

Some countries that have done extensive testing have positive rates near this 10% benchmark, or lower. South Korea is "testing so many people that only 3% of them are positive," said Rochelle Walensky, an infectious disease specialist at Massachusetts General Hospital, during a livestream hosted by the medical journal JAMA.

But, so far the U.S. appears to fall short of this benchmark. Nationally, according to CDC data, about 18% of tests have been positive to date, and 21% were positive in the week ending April 11. [...]

Admiral Brett Giroir, a member of President Trump's coronavirus task force, acknowledged the importance of this benchmark. "This is a good metric that you want to get about one positive for every 10 tests," he said during the White House coronavirus task force briefing Monday night [Apr 20?].

So, question: What is the most recent data with for this test positivity rate in the US? And better still, is there an up-to-date graph over time for it (perhaps even a separate graph for each US state)?

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Many websites tracking COVID-19 source their data from John Hopkins. You can explore the data here:

Our World In Data

My favorite site for viewing this data is Our World In Data. For example, you can see the number of positive test cases per capita (7-day rolling average) in the US here:

Daily new confirmed COVID-19 cases per million people in Germany and the United States

Coviz

I created a tool that takes this one step further: extrapolating the (cumulative) curve to predict future spread of the virus:

COVID-19 cases per capita in the Germany with 2-degree polynomial extrapolation 1 month into the future

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  • Please be sure to clearly indicate that you are the creator of a resource when linking to it in an answer. See How not to be a spammer for more information.
    – Ian Campbell
    Commented Dec 30, 2022 at 17:13
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From your link, The Atlantic has its data tracking project at https://covidtracking.com/data

If you go there you can drill down by state, the number of cumulative positive and negative results. They show the number of new daily tests and so you can extract the data you want from there about the positivity rates

So, the cumulative data for Alabama

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