[Vp-integration-subgroup] Another case study of data

[Jacob Barhak]

Thanks Tingting,

Your email is about data consistency in another location, not necessarily
about Singapore data - so I started another email thread.

Just to clarify to the readers, you found 2 data sources with different
numbers.

Let us examine the issue here and I have a few questions:

1. Were those different infections / hospitalizations numbers?

2. Can you be specific and send the exact link to the data you used? I saw
many links in your first link.

3. Did you attempt to contact the sources of the data to figure out the
reasons for discrepancies?

The USA facts website states:
"they may not reflect the exact numbers reported state and local government
organizations"

So perhaps you just stumbled on some data that will be fixed later.

I am being cautious before jumping to conclusions. This has to be
studied in more detail to reach conclusions. However, I see your point that
the data consistency issue is confusing at the least.

I will set up time to meet in private email.

Thank you for drawing our attention to another case of potential data
issues.

           Jacob,





On Fri, Apr 2, 2021 at 12:56 AM Tingting Tang <ttang2 at sdsu.edu> wrote:

> Hi, Jacob,
>
> I create this figure using the data from the websites I mentioned. They
> are numbers of new cases per day reported by these websites. I also noticed
> that different websites sometimes have different meaning for "daily new
> cases" which makes the matter even more confusing. The following website
> contains this image
> https://www.notion.so/Two-websites-with-consistent-data-where-one-draw-from-the-other-2e54d94d9d474c36837cb48327963ba7
>
> I'd be happy to have a video chat sometime about the credibility of data.
>
> Thanks,
> Tingting
>
> On Thu, Apr 1, 2021 at 9:02 PM Jacob Barhak <jacob.barhak at gmail.com>
> wrote:
>
>> Hi Tingting,
>>
>> Did you create those plots?
>>
>> It would be very interesting to start another discussion topic at the
>> credibility mailing list and see how many more people noticed differences
>> between data sources.
>>
>> However, the maling list will reject archiving images and large files -
>> its an old malign list tool we are using.
>>
>> Nevertheless, if you have a link to this image stored elsewhere
>> accessible like google drive, it would be nice to share your
>> experience with the working group.
>>
>> I was looking at your plot and data sources and was wondering if you are
>> showing hospitalisation data or diagnosed data?
>>
>> It seems that data needs interpretation - Lucas and I are working on this
>> aspect - if you are interested you can join the effort - I am looking for
>> experts to interpret data from a human perspective to add to models. If
>> this interests you, let me know and we will schedule a video call so I can
>> better explain.
>>
>> Meanwhile, thank you for your email and it will be nice if you share this
>> with the entire group.
>>
>>              Jacob
>>
>>
>>
>>
>>
>> On Thu, Apr 1, 2021 at 6:53 PM Tingting Tang <ttang2 at sdsu.edu> wrote:
>>
>>> Hi, Jacob,
>>>
>>> This example prompts me to link the credibility of data sources of some
>>> websites I have been watching. In particular, I have been checking the
>>> covid tracking data for imperial county, ca, for over a month at different
>>> websites: local government (icphd.com), usa fact, 1point3acres.com,
>>> california open data portal(
>>> https://data.chhs.ca.gov/dataset/covid-19-hospital-data) etc.
>>>
>>> There seems to be quite a bit of inconsistency with these data sources
>>> in case reporting. A quick glance of the comparison between california open
>>> data portal and the usa fact data which claims they draw data from the
>>> prior is shown below. You can ignore the labels as they are signifying the
>>> loosen and tighten of the local government regulations.
>>>
>>> If you see fit I can provide more information to add this as another
>>> issue with data consistency and credibility as well.
>>>
>>>
>
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