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1. 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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2. Weekly bar charts for hospitalizations and death can’t be generated any longer

   Please fix!

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3. Publish previous year dashboard i.e. T/Y vs L/Y

   That way we can compare all categories since covid is currently lumped in this years numbers and one is not able determine relativity of covid to other illnesses.

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4. LEAF BLOWERS?! Really?!!

   Why are you allowing leaf blowers to continue their useless dust scattering and horrendously noisy operations? Isn't a leaf blower just a GREAT way to spread COVID 19..they've done wonders for spreading Emphysema I know that.the brilliance here is overwhelming.

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5. Please update the now false "Returning Stronger" infographic that is on coronavirus home page.

   The inforgraphic "Returning Stronger: Arizona in Phase 1 Infographic" on the covid homepage is second bullet, right at the top.
   It is completely false, but just needs an update. It says that Arizona is ready for phase 1 opening up and presents the data showing that is the case. The data on current cases and direction is not representative of the current situation. The infographic should say Arizona is NOT ready for phase 1, and should show the current data showing full exponential growth of the disease. As it stands it is delivering the completely wrong message.

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6. PCR-Test

   which PCR Test is used to determine if someone is Positive with Covid-19 ?
   does this Test actually ONLY detects Covid-19 or does this Test detect ALL Corona Viruses ?

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7. Why don't the ADHS show the number of COVID-19 cases in prisons?
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8. Sell me Nice Masks

   Please get AZ logos on s, some decent quality mask, and SELL them at a reasonable PROFIT to those who can afford them. Maybe have two kinds: "good" and "deluxe". They would be a walking PSA and would show that the wearer supports the way forward.

   P.S. My 62-year-old self has been giving 25% tips and ordering delivery a lot more. Same idea.

   P.P.S. You could similarly bottle up some local hand sanitizer, and sell it for a small profit.

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9. When lab test sources are delayed, delay your reporting or update during the day.

   This refers to the COVID 19 dashboard. Showing only partial results is misleading. Either wait or for the lab to submit data OR update the results more than once in a day.

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10. Free Masks Link

    Can't find link to the free masks.

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11. What occured on 7/30/20?

    Does anyone know what happened on 7/30? There is a huge spike in cases from that specimen date. And given the tests reported as being performed on that date, the infection rate is >40% for that day. I can't find any reference to any new testing initiative or anything else happening on that day.

    Hope the data for 7/30 reported so far is correct, because it is making the week of 8/2 look up week over week.

    Also, anyone ever been able to talk to a data analyst from AZDHS? Been doing this kind of work for 30 years and would love to see this data process from their perspective.

    Does anyone know what happened on 7/30? There is a huge spike in cases from that specimen date. And given the tests reported as being performed on that date, the infection rate is >40% for that day. I can't find any reference to any new testing initiative or anything else happening on that day.

    Hope the data for 7/30 reported so far is correct, because it is making the week of 8/2 look up week over week.

    Also, anyone ever been able to talk to a data analyst from AZDHS? Been doing this kind of work for 30 years and… more

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12. Stop showing total number of cases since statistics started being taken.

    What good does showing cases come and gone? How many people have been positive in the last 14 days is much more relevant information to have on the summary page. It's not a badge of honor to see how many cases we have had. Show how many we have now. Stop the hyping.

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13. Covid-19 benchmarks for school dashboard

    The dashboard for school and business reopening is weeks out of date and is not reflective of the covid-19 dashboard. For all we know Maricopa county could be reopened right now. If you create benchmarks this critical then be current. I understand that a week or two lag can exist but its currently 3 weeks out of date and the other dash board is more current. Release us already.

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14. Scale Covid-19 data based on the total Arizona population

    The Covid-19 charts are scaled, I imagine, for ease of reading but visually demonstrates a fallacy in the data. It makes it appear as if the red spike is HUGE. Present that data on a chart which includes the total Arizona population so we can have a real look at the impact. FYI the red spike is almost invisible when scaled appropriately.

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15. There is no explanation of an agency code for the general public or family members of staff

    Provide explanation of the 7-digit code and where to access it. Eliminate this field from the General Public user account creation.

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16. I cannot schedule an appointment

    I click pre-register, and it prompts me to log in. I log in, and it says to click appointments on the menu to create an appointment - but there is no "appointments" in the menu. How do I actually schedule an appointment?!?

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17. YCCHS vs ADHS Positivity Rates

    I am contacting ADHS because I am seeing is a significant discrepancy between the COVID-19 data reported by YCCHS versus by ADHS. Specifically, YCCHS's total positivity rate is based on all diagnostic testing whereas ADHS's total positivity rate is calculated only from the electronically-reported tests. The calculations below show that the tests not electronically reported do have a sizable impact on the positivity rate.

    YCCHS Tests Reported = 44380
    YCCHS Positive Tests = 2628
    YCCHS’s Positivity Rate = 2628 / 44380 = 5.9% 

    ADHS "Tests Reported Electronically" = 37691
    ADHS Positive "Tests Reported Electronically" = 1789
    ADHS’s Positivity Rate = 1789 / 37691 = 4.8% 

    Number of Tests Not Reported (Electronically) = 44380 – 37691 = 6689
    Percentage of Tests Not Reported (Electronically) = 6689 / 44380 = 15.1%
    Number of Positive Tests Not Reported (Electronically) = 2628 – 1789 = 839
    Percentage of Positive Tests Not Reported (Electronically) = 839 / 2628 = 31.9%
    Positivity Rate of Tests Not Reported (Electronically) = 839 / 6689 = 12.5%

    While I suspect ADHS believed that using the electronically reported test data would be a good and accurate representation of all data, it does not appear to be, at least not with regard to Yavapai County. As school districts are using these benchmarks to decide when to fully open schools and families are using this data to decide when they feel safe enough to send their children back to school, I feel it is extremely important to present the data as accurately as possible.I am presenting this information to you to ask, "Are my logic and calculations correct, or am I missing something?"  If the information that I present is correct, then I would ask ADHS to base the weekly and cumulative positivity rates based on ALL data and not just the electronic data.

    I am contacting ADHS because I am seeing is a significant discrepancy between the COVID-19 data reported by YCCHS versus by ADHS. Specifically, YCCHS's total positivity rate is based on all diagnostic testing whereas ADHS's total positivity rate is calculated only from the electronically-reported tests. The calculations below show that the tests not electronically reported do have a sizable impact on the positivity rate.

    YCCHS Tests Reported = 44380
    YCCHS Positive Tests = 2628
    YCCHS’s Positivity Rate = 2628 / 44380 = 5.9% 

    ADHS "Tests Reported Electronically" = 37691
    ADHS Positive "Tests Reported Electronically" = 1789
    ADHS’s Positivity Rate = 1789 / 37691 = 4.8% 

    Number of… more

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18. Just a number of positive Covid cases does nothing but stoke the panic, include what region of AZ they are occuring.

    Please provide data on positive covid cases as to location and or venues where they may have been traced back.

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19. Alternative COVID treatments

    Is there a team looking into alternative treatment options? Or are we just waiting for the FDA and NIH to come up with a solution? How are we going to treat individuals who don’t have the vaccine yet, or it was ineffective? I’ve seen good data on Ivermectin. https://ivmmeta.com/ I’m not a medical expert, but the data presented looks like it would be worth pursuing.

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20. covid19 vaccine website link

    when you click on this link in your web page, it gives everything under
    sun "BUT" covid19 vaccine "INFORMATION"
    
    what stage are the vaccine distribution at ?
    when are the other categories expected to be started?
    confusion over 1B category ? are rural people over 75 included?

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