2428 results found

1. Can you make the COVID-19 data available for download?

   You have created one of the best state sites in the country. It would be nice to have the data for mathematical analysis. For instance my work here: https://community.wolfram.com/groups/-/m/t/1906954
   https://community.wolfram.com/groups/-/m/t/1900530

   R Rimmer MD

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2. Can your data include daily # of active cases?

   Can your data include the daily # of ACTIVE cases?

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3. Why isn’t ADHS reporting people that have recovered from COVID-19?

   Why isn’t ADHS reporting people that have recovered from COVID-19?

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4. Your data dashboard button links to the Spanish language version. I would like to see the English language version. Where do I find that?

   Can you please fix your data dashboard button? I click it and it goes to the Spanish language version.

   Where is the English language version? Why doesn't the data dashboard button link to the English language version first?????

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5. Why is the data dashboard on covid19 in SPANISH it should be in ENGLISH doesn't matter which button push which pushed ENGLISH

   Why is the data dashboard on covid19 in SPANISH it should be in ENGLISH doesn't matter which button push which pushed ENGLISH

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6. How can I read the data chart when the ENGLISH BUTTON GIVES INFO IN SPANISH

   How can I read the data chart when the ENGLISH BUTTON GIVES INFO IN SPANISH

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7. This is the only site I have seen which make the dead alive next day. Please remove the death chart if you can not present it right.
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8. Wearing a mask!

   I just saw your public service announcement with Doug Ducey and Cara Christ, MD regarding COVID-19 and ways of protecting oneself and others from this virus. NOWHERE in the announcement was it mentioned or suggested to wear a mask, and I am APPALLED at the ignorance of leaving this item out of the announcement. Shame on you! As a healthcare provider, I am outraged over your blatantly leaving this suggestion out of the messaging. Don’t make this political because of trump refusing to wear a mask. Do not tout trump’s ignorance just because Ducey is a republican!

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9. Serology tests should also be clearly labeled as Antibody tests since that is a more commonly used and understood term.

   News reports and articles most frequently use "antibody testing" to describe what AZDHS is calling "serology testing". The AZDHS language is confusing since there are now multiple methods to obtain samples and "serology" in itself does not describe what the blood has been tested for or what positive results mean.

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10. Change x axis scale on Covid cases.

    Why is Maricopa county Covid cases using x axis 2008 to 2020 so we cannot see the cases each day this year?

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11. Confirmed COVID-19 Cases by Day graph X axis is set to 2008-2020

    By resetting the X axis of the graph to start at 2008 the data has been rendered useless. This is an odd anomaly to be accidental in origin.

    Please reset the X axis to 2019-2020 so the truth can be seen.

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12. Correction needed for ED covid cases?

    Noticed this morning a spike in hospital specific covid information, "ED" cases >2300! Is this a typo or has there been a change in definitions that must be communicated or is there a sudden outbreak about to make international news??

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13. Zip Code Map Covid, increase diversity of categories please

    On the zipcode map, you have ranges in groupings of tens, but past 40 there is just one range...40+

    In my zipcode there are 120-ish cases, in my mother's neighborhood she has 41. On the display they show as the same.

    Being able to visualize that my neighborhood is 3 times more infected then my mom's neighborhood would be helpful. Thank you.

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14. Testing

    Is it possible to not only give the number of new tests, but also the number of repeat tests on the same people (example patient A had a test, then a week later Patient A had another test, which counts as two, but is only one person tested.)

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15. Define “Confirmed COVID-19 Cases by Day”

    Your Pima County case count totals don’t add up. As of 5/28/2020, the website lists 202,914 PCR tests with 6.6% positive (13,392), and 84,691 Serology tests with 3.0% positive (2,540). This gives a combined test total of approximately 15,932. However, the website lists a total of 17,763 confirmed cases. So, even combining the PCT and Serology tests gives a shortfall of 1,831 cases. How do you account for the missing confirmed cases? Are you combining Serology and PCT test in the "Confirmed COVID-19 Cases by Day" and "Number of Cases" results? Why? Please explain your methodology for determining total confirmed COVID-19 cases.

    Your Pima County case count totals don’t add up. As of 5/28/2020, the website lists 202,914 PCR tests with 6.6% positive (13,392), and 84,691 Serology tests with 3.0% positive (2,540). This gives a combined test total of approximately 15,932. However, the website lists a total of 17,763 confirmed cases. So, even combining the PCT and Serology tests gives a shortfall of 1,831 cases. How do you account for the missing confirmed cases? Are you combining Serology and PCT test in the "Confirmed COVID-19 Cases by Day" and "Number of Cases" results? Why? Please explain your methodology for determining total confirmed… more

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16. COVID-19 percent positive calculation is wrong

    Please fix.

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17. Pick up the phone.

    I called today and sat on autohold for 33 minutes before being transferred directly to someone's voice mail. I called back. I've been on autohold for 15 minutes more.

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18. Data on confirmed covid cases - EPI chart

    Confirmed cases by day seems to be manipulated data. I have been tracking your EPI chart and the number of cases increase (which is to be expected) but also decreases (which doesn't make sense). For example the bar chart for April 29 peaked at 417 on May 6th but on May 7 dropped by 36 to 381. The cases continued to climb to another peak of 398 on May 14 and then dropped to 387 on June 5th. This anomaly happened again for tests recorded to the following dates: 4/30, 5/3 (which had a high of 305 on May 7 and a low of 151 on June 5). This also happened on 5/5. This did not happen on 5/7 and 5/10. I have not been tracking every day but it happened frequently enough to make me question your numbers...... Maybe there is an explanation but I can't think of one... Perhaps you can tell us why this happens?

    Confirmed cases by day seems to be manipulated data. I have been tracking your EPI chart and the number of cases increase (which is to be expected) but also decreases (which doesn't make sense). For example the bar chart for April 29 peaked at 417 on May 6th but on May 7 dropped by 36 to 381. The cases continued to climb to another peak of 398 on May 14 and then dropped to 387 on June 5th. This anomaly happened again for tests recorded to the following dates: 4/30, 5/3 (which had a high of 305 on May 7… more

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19. Continue reporting the % positive PCR test results as % as of the date of testing.

    As of today, ADHS stopped reporting the daily plots of % positive PCR and SER test results for the day the test was taken. You are instead reporting the aggregate % over all tests. This makes it impossible to see the continued rise in positive PCR test results which were continually increasing since about 5/17 (about 5% to 13%).

    The public needs to understand why they no longer make these data available.

    It appears that you are purposely hiding the fact that their testing SHOWS THAT WE ARE INCREASING IN INFECTION RATE. (In fact, the original plots squeezed the plot, making all rates look small.)

    The ADHS needs to state why the change was made and return these data to us.

    As of today, ADHS stopped reporting the daily plots of % positive PCR and SER test results for the day the test was taken. You are instead reporting the aggregate % over all tests. This makes it impossible to see the continued rise in positive PCR test results which were continually increasing since about 5/17 (about 5% to 13%).

    The public needs to understand why they no longer make these data available.

    It appears that you are purposely hiding the fact that their testing SHOWS THAT WE ARE INCREASING IN INFECTION RATE. (In fact, the original plots squeezed the plot,… more

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20. Examples and Solutions for Potentially Misleading Representations, COVID

    Since the general public uses this site as a primary resource to keep up with the pandemic, there should be a strong obligation towards clarity and towards removing bias. Right now, while I have no reason to believe any data is inaccurate, it is easy for someone who isn't used to reading data, doesn't read disclaimers, or who has biases they are trying to confirm, to mistakenly use correct data to draw false conclusions. I'll point out each issue, and then suggest a few ways it could be fixed
    Issue 1: Misleading shape and incomplete information posted as if it were complete on both the Confirmed Cases and Deaths graphs.

    While there are some disclaimers explaining this, it is easy for someone to be confused when the daily cases reported are consistently far higher than the data shown on the graphs for the most recent several days. It's easy for someone to glance at the graph and see only its shape. The mound shape with a downturn at the end could cause them to assume that we are recovering, when really the data that shows that shape is just incomplete.

    Solutions for issue 1: Show, in some clear way (counter, separate bar, etc.), the number of cases and deaths that are confirmed, but have yet to be added to the graph. If bars showing incomplete data must be added before they are finished, perhaps display them in a greyed-out color so the public can see at a glance that they are still in progress. Otherwise, simply do not update recent bars if it is known to be wildly different from the actual finished number.

    Issue 2: Comparing number of reported cases and deaths, or percentage of total reported case and deaths among vastly unequal population sizes when measuring demographics.

    This could cause people to make claims like “Wow, young people are doing almost all of the spreading!” That bracket is showing a range of 25 ages, and much larger percentage of the population than the other brackets. Similar incorrect claims could be mistaken about the Race/Ethnicity graphs since there is nothing shown that takes into account the relative population differences of each group.

    Solutions for issue 2: Show the percentage of the population for each group off to the side, or as part of the graphical representation you choose.

    Issue 3: Hospital data shown as an average or overall percentage.

    Whenever anyone takes an overall percentage or an average, they are posing a hypothetical. “What would this look like if we evened everything out?” A lot of times it makes sense to do that. Other times it can be misleading. Someone could look at the red vs the gray on these charts and conclude that since there is still plenty of gray, no hospitals are in trouble. Even if half of the total beds are still available, some hospitals or some areas could easily still be full, or completely overwhelmed due to lack of other resources.

    Solutions for issue 3: Show, maybe in addition to the charts already included, how many hospitals say they are prepared to take on a significant number of new COVID patients (maybe 5 or 10), and how many couldn’t.

    Issue 4: Averaging/combining antibody testing with virus testing doesn’t have significant meaning.

    Like I mentioned, all averages are hypotheticals. This percentage combines 2 different tests that measure 2 different things. The relative size of the number of each type of test also changes quite a bit over time. Comparing apples and oranges, or (more accurately) combining people that are currently eating apples and oranges with those that have ever eaten apples and oranges, doesn’t make sense and could mislead people into believing the percentage of antibody tests is higher than it is, or that the percentage of active virus tests is lower than it is.

    Solution for Issue 4: Either remove it, or add a disclaimer showing why it’s included and what meaning is intended by it.
    Issue 5: It could be made visually easier to see trends on any graph with erratic daily data.

    Solution to issue 5: Include a line showing the 3-day or 7-day average to smooth out the shape and show the trends more clearly on any graph that tends towards erratic daily data.

    Issue 6: Testing data does not show how changes in size of testing could influence the percentage of positives.

    The number clearly matters. If we tested only those hospitalized with symptoms, the percentage would be way higher. If everyone got magically tested tomorrow, it would be lower. I like that it’s shown, but I’d like to see a line graph where I can see both trending together. When the percentage decreased, that data was used as the star evidence for us to re-open. It was not easy to see that this percentage decrease coincided with the quantity of tests increasing.

    Solution to issue 6: I’m imagining adding a line graph that has 2 sets of axis that shows how the 2 different measurements might trend together. There may be a better way…

    Issue 7: Projections are being made, and none of them are acknowledge or included.

    Choosing to omit projections has the appearance of denying the work of professionals trying to provide an idea of what is in store for us. If I wanted to know the weather, I wouldn’t be satisfied with only current and past weather. I’d want to know the forecast, even if it includes a certain amount of uncertainty.

    Solution to issue 7: List any known projections and provide links for people to check them.

    Thank you for taking the time to read this. I hope these issues make sense. I hope going forward that even if these issues are not solved in the ways I’d like them to be, that an effort is made to minimize bias and avoid misleading the public.

    Since the general public uses this site as a primary resource to keep up with the pandemic, there should be a strong obligation towards clarity and towards removing bias. Right now, while I have no reason to believe any data is inaccurate, it is easy for someone who isn't used to reading data, doesn't read disclaimers, or who has biases they are trying to confirm, to mistakenly use correct data to draw false conclusions. I'll point out each issue, and then suggest a few ways it could be fixed
    Issue 1: Misleading shape and incomplete information posted as if it… more

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