Another cut at Worldometer numbers of deaths (as of yesterday) with state population as denominator.

 

NY is in a class by itself in terms of deaths per 100,000 - over 8.

Louisiana is second in a class by itself with over 5 deaths per 100,000.

States ramp down after that with NJ being just over 3 deaths per 100,000 leading the rest.

Kentucky currently has around 0.4 deaths per 100,000

Wyoming still has not reported any deaths.

 

[TABLE=width: 301]

[TR]

[TD=class: xl65, width: 135]State[/TD]

[TD=class: xl65, width: 87]Deaths[/TD]

[TD=class: xl65, width: 87]Population[/TD]

[TD=class: xl65, width: 93]Dth P100000[/TD]

[/TR]

[TR]

[TD=class: xl66] New York

[/TD]

[TD=class: xl67, align: right]1,714[/TD]

[TD=class: xl67, align: right]19,500,000[/TD]

[TD=class: xl68, align: right]8.7897[/TD]

[/TR]

[TR]

[TD=class: xl66]Louisiana[/TD]

[TD=class: xl65, align: right]239[/TD]

[TD=class: xl67, align: right]4,600,000[/TD]

[TD=class: xl68, align: right]5.1957[/TD]

[/TR]

[TR]

[TD=class: xl66]New Jersey[/TD]

[TD=class: xl65, align: right]267[/TD]

[TD=class: xl67, align: right]8,800,000[/TD]

[TD=class: xl68, align: right]3.0341[/TD]

[/TR]

[TR]

[TD=class: xl66]Washington[/TD]

[TD=class: xl65, align: right]225[/TD]

[TD=class: xl67, align: right]7,600,000[/TD]

[TD=class: xl68, align: right]2.9605[/TD]

[/TR]

[TR]

[TD=class: xl66]Michigan[/TD]

[TD=class: xl65, align: right]259[/TD]

[TD=class: xl67, align: right]9,980,000[/TD]

[TD=class: xl68, align: right]2.5952[/TD]

[/TR]

[TR]

[TD=class: xl66]Vermont[/TD]

[TD=class: xl65, align: right]13[/TD]

[TD=class: xl67, align: right]623,000[/TD]

[TD=class: xl68, align: right]2.0867[/TD]

[/TR]

[TR]

[TD=class: xl66]Connecticut[/TD]

[TD=class: xl65, align: right]69[/TD]

[TD=class: xl67, align: right]3,500,000[/TD]

[TD=class: xl68, align: right]1.9714[/TD]

[/TR]

[TR]

[TD=class: xl66]Massachusetts[/TD]

[TD=class: xl65, align: right]89[/TD]

[TD=class: xl67, align: right]6,900,000[/TD]

[TD=class: xl68, align: right]1.2899[/TD]

[/TR]

[TR]

[TD=class: xl66]District Of Columbia[/TD]

[TD=class: xl65, align: right]9[/TD]

[TD=class: xl67, align: right]705,000[/TD]

[TD=class: xl68, align: right]1.2766[/TD]

[/TR]

[TR]

[TD=class: xl66]Colorado[/TD]

[TD=class: xl65, align: right]69[/TD]

[TD=class: xl67, align: right]5,700,000[/TD]

[TD=class: xl68, align: right]1.2105[/TD]

[/TR]

[TR]

[TD=class: xl66]Georgia[/TD]

[TD=class: xl65, align: right]125[/TD]

[TD=class: xl67, align: right]10,617,000[/TD]

[TD=class: xl68, align: right]1.1774[/TD]

[/TR]

[TR]

[TD=class: xl66]Delaware[/TD]

[TD=class: xl65, align: right]10[/TD]

[TD=class: xl67, align: right]973,000[/TD]

[TD=class: xl68, align: right]1.0277[/TD]

[/TR]

[TR]

[TD=class: xl66]Illinois[/TD]

[TD=class: xl65, align: right]99[/TD]

[TD=class: xl67, align: right]12,600,000[/TD]

[TD=class: xl68, align: right]0.7857[/TD]

[/TR]

[TR]

[TD=class: xl66]Rhode Island[/TD]

[TD=class: xl65, align: right]8[/TD]

[TD=class: xl67, align: right]1,059,000[/TD]

[TD=class: xl68, align: right]0.7554[/TD]

[/TR]

[TR]

[TD=class: xl66]Indiana[/TD]

[TD=class: xl65, align: right]49[/TD]

[TD=class: xl67, align: right]6,700,000[/TD]

[TD=class: xl68, align: right]0.7313[/TD]

[/TR]

[TR]

[TD=class: xl66]Mississippi[/TD]

[TD=class: xl65, align: right]20[/TD]

[TD=class: xl67, align: right]2,970,000[/TD]

[TD=class: xl68, align: right]0.6734[/TD]

[/TR]

[TR]

[TD=class: xl66]Nevada[/TD]

[TD=class: xl65, align: right]18[/TD]

[TD=class: xl67, align: right]3,000,000[/TD]

[TD=class: xl68, align: right]0.6000[/TD]

[/TR]

[TR]

[TD=class: xl66]Oklahoma[/TD]

[TD=class: xl65, align: right]23[/TD]

[TD=class: xl67, align: right]3,900,000[/TD]

[TD=class: xl68, align: right]0.5897[/TD]

[/TR]

[TR]

[TD=class: xl66]Pennsylvania[/TD]

[TD=class: xl65, align: right]63[/TD]

[TD=class: xl67, align: right]12,801,000[/TD]

[TD=class: xl68, align: right]0.4921[/TD]

[/TR]

[TR]

[TD=class: xl66]Ohio[/TD]

[TD=class: xl65, align: right]55[/TD]

[TD=class: xl67, align: right]11,689,000[/TD]

[TD=class: xl68, align: right]0.4705[/TD]

[/TR]

[TR]

[TD=class: xl66]Alabama[/TD]

[TD=class: xl65, align: right]23[/TD]

[TD=class: xl67, align: right]4,900,000[/TD]

[TD=class: xl68, align: right]0.4694[/TD]

[/TR]

[TR]

[TD=class: xl66]Montana[/TD]

[TD=class: xl65, align: right]5[/TD]

[TD=class: xl67, align: right]1,068,000[/TD]

[TD=class: xl68, align: right]0.4682[/TD]

[/TR]

[TR]

[TD=class: xl66]California[/TD]

[TD=class: xl65, align: right]180[/TD]

[TD=class: xl67, align: right]39,500,000[/TD]

[TD=class: xl68, align: right]0.4557[/TD]

[/TR]

[TR]

[TD=class: xl66]South Carolina[/TD]

[TD=class: xl65, align: right]22[/TD]

[TD=class: xl67, align: right]5,100,000[/TD]

[TD=class: xl68, align: right]0.4314[/TD]

[/TR]

[TR]

[TD=class: xl66]Wisconsin[/TD]

[TD=class: xl65, align: right]25[/TD]

[TD=class: xl67, align: right]5,822,000[/TD]

[TD=class: xl68, align: right]0.4294[/TD]

[/TR]

[TR]

[TD=class: xl66]Oregon[/TD]

[TD=class: xl65, align: right]18[/TD]

[TD=class: xl67, align: right]4,210,000[/TD]

[TD=class: xl68, align: right]0.4276[/TD]

[/TR]

[TR]

[TD=class: xl66]Alaska[/TD]

[TD=class: xl65, align: right]3[/TD]

[TD=class: xl67, align: right]731,545[/TD]

[TD=class: xl68, align: right]0.4101[/TD]

[/TR]

[TR]

[TD=class: xl66]Florida[/TD]

[TD=class: xl65, align: right]85[/TD]

[TD=class: xl67, align: right]21,470,000[/TD]

[TD=class: xl68, align: right]0.3959[/TD]

[/TR]

[TR]

[TD=class: xl66]North Dakota[/TD]

[TD=class: xl65, align: right]3[/TD]

[TD=class: xl67, align: right]762,000[/TD]

[TD=class: xl68, align: right]0.3937[/TD]

[/TR]

[TR]

[TD=class: xl66]Kentucky[/TD]

[TD=class: xl65, align: right]17[/TD]

[TD=class: xl67, align: right]4,400,000[/TD]

[TD=class: xl68, align: right]0.3864[/TD]

[/TR]

[TR]

[TD=class: xl66]Maine[/TD]

[TD=class: xl65, align: right]5[/TD]

[TD=class: xl67, align: right]1,300,000[/TD]

[TD=class: xl68, align: right]0.3846[/TD]

[/TR]

[TR]

[TD=class: xl66]Tennessee[/TD]

[TD=class: xl65, align: right]23[/TD]

[TD=class: xl67, align: right]6,833,000[/TD]

[TD=class: xl68, align: right]0.3366[/TD]

[/TR]

[TR]

[TD=class: xl66]Arizona[/TD]

[TD=class: xl65, align: right]24[/TD]

[TD=class: xl67, align: right]7,200,000[/TD]

[TD=class: xl68, align: right]0.3333[/TD]

[/TR]

[TR]

[TD=class: xl66]Virginia[/TD]

[TD=class: xl65, align: right]27[/TD]

[TD=class: xl67, align: right]8,500,000[/TD]

[TD=class: xl68, align: right]0.3176[/TD]

[/TR]

[TR]

[TD=class: xl66]Kansas[/TD]

[TD=class: xl65, align: right]9[/TD]

[TD=class: xl67, align: right]2,913,000[/TD]

[TD=class: xl68, align: right]0.3090[/TD]

[/TR]

[TR]

[TD=class: xl66]Maryland[/TD]

[TD=class: xl65, align: right]18[/TD]

[TD=class: xl67, align: right]6,045,000[/TD]

[TD=class: xl68, align: right]0.2978[/TD]

[/TR]

[TR]

[TD=class: xl66]Arkansas[/TD]

[TD=class: xl65, align: right]8[/TD]

[TD=class: xl67, align: right]3,017,000[/TD]

[TD=class: xl68, align: right]0.2652[/TD]

[/TR]

[TR]

[TD=class: xl66]New Mexico[/TD]

[TD=class: xl65, align: right]5[/TD]

[TD=class: xl67, align: right]2,096,000[/TD]

[TD=class: xl68, align: right]0.2385[/TD]

[/TR]

[TR]

[TD=class: xl66]Missouri[/TD]

[TD=class: xl65, align: right]14[/TD]

[TD=class: xl67, align: right]6,137,000[/TD]

[TD=class: xl68, align: right]0.2281[/TD]

[/TR]

[TR]

[TD=class: xl66]Iowa[/TD]

[TD=class: xl65, align: right]7[/TD]

[TD=class: xl67, align: right]3,155,000[/TD]

[TD=class: xl68, align: right]0.2219[/TD]

[/TR]

[TR]

[TD=class: xl66]New Hampshire[/TD]

[TD=class: xl65, align: right]3[/TD]

[TD=class: xl67, align: right]1,359,000[/TD]

[TD=class: xl68, align: right]0.2208[/TD]

[/TR]

[TR]

[TD=class: xl66]Minnesota[/TD]

[TD=class: xl65, align: right]12[/TD]

[TD=class: xl67, align: right]5,640,000[/TD]

[TD=class: xl68, align: right]0.2128[/TD]

[/TR]

[TR]

[TD=class: xl66]Texas[/TD]

[TD=class: xl65, align: right]56[/TD]

[TD=class: xl67, align: right]28,995,000[/TD]

[TD=class: xl68, align: right]0.1931[/TD]

[/TR]

[TR]

[TD=class: xl66]Idaho[/TD]

[TD=class: xl65, align: right]9[/TD]

[TD=class: xl67, align: right]4,792,000[/TD]

[TD=class: xl68, align: right]0.1878[/TD]

[/TR]

[TR]

[TD=class: xl66]Utah[/TD]

[TD=class: xl65, align: right]5[/TD]

[TD=class: xl67, align: right]3,200,000[/TD]

[TD=class: xl68, align: right]0.1563[/TD]

[/TR]

[TR]

[TD=class: xl66]Nebraska[/TD]

[TD=class: xl65, align: right]3[/TD]

[TD=class: xl67, align: right]1,934,000[/TD]

[TD=class: xl68, align: right]0.1551[/TD]

[/TR]

[TR]

[TD=class: xl66]South Dakota[/TD]

[TD=class: xl65, align: right]1[/TD]

[TD=class: xl67, align: right]884,000[/TD]

[TD=class: xl68, align: right]0.1131[/TD]

[/TR]

[TR]

[TD=class: xl66]North Carolina[/TD]

[TD=class: xl65, align: right]8[/TD]

[TD=class: xl67, align: right]10,500,000[/TD]

[TD=class: xl68, align: right]0.0762[/TD]

[/TR]

[TR]

[TD=class: xl66]Hawaii[/TD]

[TD=class: xl65, align: right]1[/TD]

[TD=class: xl67, align: right]1,415,000[/TD]

[TD=class: xl68, align: right]0.0707[/TD]

[/TR]

[TR]

[TD=class: xl66]West Virginia[/TD]

[TD=class: xl65, align: right]1[/TD]

[TD=class: xl67, align: right]1,787,000[/TD]

[TD=class: xl68, align: right]0.0560[/TD]

[/TR]

[TR]

[TD=class: xl66]Wyoming[/TD]

[TD=class: xl65][/TD]

[TD=class: xl67, align: right]578,000[/TD]

[TD=align: right]0[/TD]

[/TR]

[/TABLE]

Bay Care, Tampa Bay's largest hospital chain, and HCA, America's largest hospital chain, started furloughing personnel at their hospitals in the Tampa Bay area, today because the census numbers continue to decline.

Someone I know indirectly has now died in Boyd County. He would have turned 50 this year, had no known underlying conditions. Everyone needs to take this virus seriously.

Medical students were given 2 weeks off. That ends Monday. I know we need them in the hospitals, but I’m not gonna lie, I’m feeling anxious.

 

On a more serious note, apparently, the wedding dress is on a slow boat from China. :lol2:

I'm not sure if I'm doing this right because I've avoided posting links for so long. But this seemed rather important and very fascinating. There is a drop down box that allows you to look at projections for each individual state and the nation as a whole. The data includes each states hospital bed availability as well as projected beds needed, the same for ICU bed and ventilators. The thing that seems strange to me is how/why the data seems to think Kentucky is still 43 days away from it's peak. While all states surrounding Kentucky are somewhere between 14-21 days from their projected peak.

 

COVID-19

 

If I'm not posting the link properly and a mod can assist, I think the information is worth looking at.

My 60 yr old stepmom, an RN in Pueblo, Colorado, woke up sick this morning. She called off but had to go in to get tested. Her symptoms sound a bit more like the flu than covid-19 (or maybe that is wishful thinking on my part). They told her the results would be back in two days or so. So, she is home with my 77 year old dad. Here I am 1100 miles away with no way to help and nothing to do but worry about them.

My stepmom’s results came back negative. What a relief.

I'm not sure if I'm doing this right because I've avoided posting links for so long. But this seemed rather important and very fascinating. There is a drop down box that allows you to look at projections for each individual state and the nation as a whole. The data includes each states hospital bed availability as well as projected beds needed, the same for ICU bed and ventilators. The thing that seems strange to me is how/why the data seems to think Kentucky is still 43 days away from it's peak. While all states surrounding Kentucky are somewhere between 14-21 days from their projected peak.

 

COVID-19

 

If I'm not posting the link properly and a mod can assist, I think the information is worth looking at.

 

I think our later peak has to do with our early distancing compared to other states. By distancing sooner, less people, in theory, are exposed to the virus so that slows the peak. With less distancing, more people get exposed quicker and you get bigger numbers much faster.

I think our later peak has to do with our early distancing compared to other states. By distancing sooner, less people, in theory, are exposed to the virus so that slows the peak. With less distancing, more people get exposed quicker and you get bigger numbers much faster.

 

I get that to an extent but Kentucky has followed Ohio almost step for step with social distancing. Yet their predicted peak is in around 13 days compared to Kentucky at 43. I was bored last night so I looked at every states prediction and only 3 or 4 had the peak predicted to be after April.

 

Also I was relatively surprised at how many hospital beds Kentucky has available compared to other states with higher populations but less beds available.

I get that to an extent but Kentucky has followed Ohio almost step for step with social distancing. Yet their predicted peak is in around 13 days compared to Kentucky at 43. I was bored last night so I looked at every states prediction and only 3 or 4 had the peak predicted to be after April.

 

Also I was relatively surprised at how many hospital beds Kentucky has available compared to other states with higher populations but less beds available.

 

Probably Kentucky having few large metro areas slows the spread and the peak also.

The 1 million mark was hit for world-wide today.

The 1 million mark was hit for world-wide today.

 

Meanwhile out of the 1.4 billion people in China there were 35 new cases today, which is one less than the 36 new cases in China yesterday.

Meanwhile out of the 1.4 billion people in China there were 35 new cases today, which is one less than the 36 new cases in China yesterday.

 

So they say.

So they say.

 

Exactly.

 

I am 100% in favor of this being labeled the Wuhan or China virus. China needs to own their role in this. If they want to benefit from a worldwide economy, they have to be an honest partner. They need to be held accountable.

Meanwhile out of the 1.4 billion people in China there were 35 new cases today, which is one less than the 36 new cases in China yesterday.

 

I get it that we have to accept China's reports as fact just because we have nothing else to go on, but I'll readily state that I don't believe what they're reporting for even the most remote amount of time. I would guess that on the conservative side of things, they probably have at least 10 times the numbers that they're reporting.

 

The major cell phone carriers in China reported 20.65 million cell phone subscriptions that they lost in January and February - that's 1.4% of the total Chinese population. They had no idea what was coming and were ground zero for coronavirus, they have a less robust medical care system, and they had to learn how to treat it even more "on the fly" than countries like the US, who had a solid month's warning to be on the lookout, and also had the medical knowledge learned by other countries who were overtaken by coronavirus first. I think the tally of China's coronavirus deaths is devastatingly higher than the 3,300 they're reporting.

Since Kentucky's first reported case of COVID-19, here's a comparison of how the Kentucky numbers compare to things nationally. There should be some lag, by nature, because the United States' index case was confirmed on January 15th and Kentucky' index case was confirmed 50 days later on March 6th.

 

March 6

KY - 1 case; 0 deaths (0% mortality rate)

US - 214 cases; 15 deaths (7.01% mortality rate)

 

March 7

KY - 1 case (00.00% increase); 0 deaths (0% mortality rate)

US - 279 cases (30.37% increase); 19 deaths (6.81% mortality rate)

March 8

KY - 4 cases (300.00% increase); 0 deaths (0% mortality rate)

US - 423 cases (51.61% increase); 22 deaths (5.20% mortality rate)

March 9

KY - 6 cases (50.00% increase); 0 deaths (0% mortality rate)

US - 647 cases (52.96% increase); 26 deaths (4.02% mortality rate)

March 10

KY - 8 cases (33.33% increase); 0 deaths (0% mortality rate)

US - 937 cases (44.82% increase); 30 deaths (3.20% mortality rate)

 

March 11

KY - 8 cases (0.00% increase); 0 deaths (0% mortality rate)

US - 1215 cases (29.67% increase); 38 deaths (3.13% mortality rate)

March 12

KY - 11 cases (37.50% increase); 0 deaths (0% mortality rate)

US - 1629 cases (34.07% increase); 41 deaths (2.52% mortality rate)

March 13

KY - 14 cases (27.27% increase); 0 deaths (0% mortality rate)

US - 1896 cases (16.39% increase); 48 deaths (2.53% mortality rate)

 

March 14

KY - 16 cases (14.29% increase); 0 deaths (0% mortality rate)

US - 2234 cases (17.83% increase); 57 deaths (2.55% mortality rate)

March 15

KY - 20 cases (25.00% increase); 0 deaths (0% mortality rate)

US - 3487 cases (56.09% increase); 69 deaths (1.98 mortality rate)

March 16

KY - 22 cases (10.00% increase); 1 death (4.55% mortality rate)

US - 4226 cases (21.19% increase); 87 deaths (2.06% mortality rate)

 

March 17

KY - 26 cases (18.18% increase); 1 death (3.85% mortality rate)

US - 7038 cases (66.54% increase); 110 deaths (1.56% mortality rate)

March 18

KY - 35 cases (34.62% increase); 1 death (2.56% mortality rate)

US - 10442 cases (48.37% increase); 150 deaths (1.44% mortality rate)

 

March 19

KY - 40 cases (14.29% increase); 2 deaths (5.00% mortality rate)

US - 15219 cases (45.75% increase); 206 deaths (1.35% mortality rate)

March 20

KY - 48 cases (20.00% increase); 3 deaths (6.25% mortality rate)

US - 18747 cases (23.18% increase); 255 deaths (1.35% mortality rate)

March 21

KY - 63 cases (31.25% increase); 3 deaths (4.76% mortality rate)

US - 24583 cases (31.13% increase); 301 deaths (1.22% mortality rate)

March 22

KY - 99 cases (57.14% increase); 3 deaths (3.03% mortality rate)

US - 33404 cases (35.88% increase); 400 deaths (1.19% mortality rate)

March 23

KY - 124 cases (25.25% increase); 4 deaths (3.23% mortality rate)

US - 44183 cases (32.27% increase); 544 deaths (1.23% mortality rate)

March 24

KY - 163 cases (31.45% increase); 4 deaths (2.45% mortality rate)

US - 54453 cases (23.24% increase); 737 deaths (1.35% mortality rate)

March 25

KY - 198 cases (21.47% increase); 5 deaths (2.52% mortality rate)

US - 68440 cases (25.69% increase); 994 deaths (1.45% mortality rate)

 

March 26

KY - 248 cases (25.25% increase); 5 deaths (2.01% mortality rate)

US - 85356 cases (24.72% increase); 1246 deaths (1.46% mortality rate)

March 27

KY - 302 cases (21.77% increase); 7 deaths (2.32% mortality rate)

US - 103321 cases (21.05% increase); 1668 deaths (1.61% mortaility rate)

 

March 28

KY - 394 cases (30.46% increase); 7 deaths (1.78% mortality rate)

US - 122653 cases (18.71% increase); 2112 deaths (1.72% mortality rate)

 

March 29

KY - 439 cases (11.42% increase); 8 deaths (1.82% mortality rate)

US - 140904 cases (14.88% increase); 2405 deaths (1.71% mortality rate)

 

March 30

KY - 480 cases (9.34% increase); 11 deaths (2.29% mortality rate)

US - 163539 cases (16.06% increase); 2860 deaths (1.75% mortality rate)

 

March 31

KY - 591 cases (23.13% increase); 17 deaths (2.88% mortality rate)

US - 186101 cases (13.80% increase); 3603 deaths (1.94% mortality rate)

 

April 1

KY - 680 cases (15.06% increase); 20 deaths (2.94% mortality rate)

US - 213144 cases (14.53% increase); 4512 deaths (2.12% mortality rate)

 

April 2

KY - 780 cases (14.71% increase); 31 deaths (3.97% mortality rate)

US - TBD

 

DATA SOURCES:

United States Centers for Disease Control and Prevention https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html

 

Kentucky Department of Public Health https://govstatus.egov.com/kycovid19