COVID Community Vulnerability Map Identification of the populations at risk for severe outcomes once infected...(map down to your subdivision, it did ours)

JVION ^ | Updated continually | Jvion

[SE Mom]

Thanks for posting. We’ll see.

[SaxxonWoods]

This is the dumbest thing I’ve ever seen. They are showing huge areas where almost no one lives as “very high” and extreme”? Give me a break.

[AppyPappy]

Seems pretty random. My neighborhood was low

[AppyPappy]

It could be access to a hospital. Floyd, Va was high but they are a long way from a hospital

[SaxxonWoods]

Yep, I think I see what they are doing. This has nothing to do with your risk of catching the virus. It ranks your potential problem getting good treatment if once you’ve caught it.

Rural areas always have that problem. It’s a long way to the hospital, often requires a helicopter.

[AppyPappy]

Floyd County has no hospital.

[Sirius Lee]

The field across the road and the woods beyond are a higher risk than my side which is low. Stupid infected deer and bears!

[proust]

Still, it’s harder to catch it in rural areas, so that variable should lower it.

[John Milner]

Iowa county with the most cases (Linn - Cedar Rapids) is shown as lowest risk. Neighboring county (Johnson - Iowa City) also has a large number of cases is also shown as white/minimal risk.

Meanwhile all the neighboring counties with fewer cases are shown as at least moderate risk.

I call bull shiite.

[ProtectOurFreedom]

This thing uses "socioeconomic factors driving risk" to make the map. There are a whole bunch of these listed when you click on an area and most of them make absolutely zero sense with relation to COVID. I pulled many of their socioeconomic factors from maybe 50 different areas I clicked on in several states and grouped them into these categories (this is probably not comprehensive):

• Income level
• Poverty level
• Transportation availability
• Transportation cost
• Unemployment rate
• Access to employment
• Labor market engagement
• Industrial & Commercial job density
• Environmental health hazard
• Housing instability
• Retail job density
• Commercial retail availability
• Frequency of prolonged commute (60+ min)
• School performance

Just off the top of my head I threw together the following list of the most important and biggest factors I would use in such a model. There's almost zero overlap with what Jvion chose. But what do I know? I'm not a pro. AND I'm not cowed by PC and Wokeness:

• International airport with lots of traffic from China and Italy.
• High concentration of Chinese and Italian communities with lots of family members traveling to and from China and Italy.
• Democrat Governor and Mayor.
• Politicians urging "Hug a Chinese" a month ago.
• Local population density (at the zip code level).
• Fraction of population using public transportation.
• Prevalence of known health factors by zip code (BMI, hypertension, diabetes).
• Per capita general hospital and ICU beds.
• High density of older people and nursing homes.
• Known existing hotspot.
• Demographics and age distribution.
• Fraction of population with health insurance

This thing is ridiculously and hopelessly useless, IMHO. Just zoom into Seattle and look at Marysville, one of the hottest of hot spots because of the introduction of the disease by ONE Chinaman and the prevalence of nursing homes in the area. Their map shows low susceptibility in Marysville.

---

About Jvion: Jvion enables healthcare organizations to prevent avoidable patient harm and lower costs through its AI-enabled prescriptive analytics solution. An industry first, the Jvion Machine goes beyond simple predictive analytics and machine learning to identify patients on a trajectory to becoming high risk and for whom intervention will likely be successful. Jvion determines the interventions that will more effectively reduce risk and enable clinical action. And it accelerates time to value by leveraging established patient-level intelligence to drive engagement across hospitals, populations, and patients. To date, the Jvion Machine has been deployed across about 50 hospital systems and 300 hospitals, who report average reductions of 30% for preventable harm incidents and annual cost savings of $6.3 million.

Data Sources: Jvion analyzed de-identified data on 30 million Americans. Data analyzed includes de-identified claims, USDA, EPA, Transportation and other third-party data sources like food and retail access, length of job commute, and transportation. [POF comment - would ANY of us amateur FR sleuths choose ANY of these factors to model COVID susceptibility?]

[Political Junkie Too]

I'm surprised at how low New York City is, generally, on this map.

-PJ

[pacpam]

Don’t see age anywhere. Too important to exclude.

[Oorang]

My county has zero cases, very rural, i.e. “low density”. Yet the “Community Vulnerability” is listed as very high. That makes no sense.

[AAABEST]

I’m having trouble understanding why in my region, so many of the rural areas/counties are considered extremely high risk, while all the nasty, crowded urban areas are low.

[AAABEST]

I tested 5 zip codes. All came up perfect.

What do you mean "came up perfect?" Are you some extraordinary bullsh*t sifting turd-inspector?

People know crap when they see it... except you apparently.

[vespa300]

I’m going to go out on a limb here and say most aren’t big fans of this model. LOL!

[vespa300]

You seem angry.

[ProtectOurFreedom]

The amazing thing is somebody could product this crapola and sell it for money. I wouldn’t buy ANYTHING from this company. It’s worrisome these guys are selling their stuff into the healthcare industry.

[proust]

They are giving a false sense of security in a life or death crisis. Why aren’t YOU angry?

[The Unknown Republican]

BS. They have national forest behind our house as “very high risk”. The SF Bay Area is lower risk than Boise? I think they based this solely on per-capita income stats.