Tag Archives: CFR

State Impacts

Image result for us states

Yesterday I showed the impacts that could be expected in the US by age overall. I’ve taken US census data on a deeper dive and broken that down to the state level so people could see what that could mean for each state if drastic measures are not in place.

Something interesting jumped out at me as I looked at the table. It’s pretty obvious that states that are thought of as retirement destinations are going to have proportionally bigger problems.

These numbers are using the assumptions of an attack rate of 20% and the case fatality rates for age groups reported by the China CDC.

10-1920-2930-3940-4950-5960-6970-7980+
AL2612602404861,6874,2436,0175,438
AK39454369245600560465
AZ3864013676912,2085,9599,3318,426
AR1651611522899952,5223,7073,364
CA2,0812,3312,2734,05612,95729,90238,49241,586
CO2933293405941,8324,5595,6065,129
CT1871851763561,3533,1664,2954,666
DE495048893489181,3501,080
DC28545865191425627611
FL9911,0701,0652,0917,38319,42631,19333,094
GA5975865641,1203,5138,00110,5538,874
HI6578771384471,2851,6992,092
ID10393891695471,4391,9941,726
IL6706956861,2904,36010,48613,71314,544
IN3643693416462,2685,5927,2447,354
IA1741691612851,0432,7123,5754,249
KS1651611482749382,4552,9653,540
KY2302442214461,5463,8875,0934,989
LA2502552544411,5393,9684,9824,657
ME6061641275221,4451,8781,962
MD3063193296122,1855,0186,6006,377
MA3404003686802,5185,8787,7918,431
MI5125524829553,5409,15911,92411,963
MN2912943075341,9614,6905,9286,574
MS1741611532879672,5073,5002,964
MO3173313165762,0865,3217,3647,372
MT545554953461,0691,4301,248
NE1081041041796001,5881,9562,374
NV1541631693219992,4833,5132,874
NH6768651325521,3241,7001,673
NJ4524544629313,2967,4459,95510,835
NM1181121101916701,8622,6042,466
NY9431,1101,0641,9236,88416,32322,17924,484
NC5535625301,0753,5348,80412,22210,859
ND37504265235601722995
OH6106215821,1264,08810,47213,73114,207
OK2202192103691,2593,1494,3524,388
OR2022262324301,3453,8615,0694,830
PA6376726411,2204,60911,76215,81917,903
PR1561721443331,1212,8734,8465,053
RI526154993829491,2471,429
SC2662692534981,7424,5466,6195,424
SD494844772847779571,114
TN3503693466872,2975,8497,9157,207
TX1,6961,6471,6342,9758,85519,94925,12823,616
UT2082031783077761,9332,4112,366
VT30332957232664871778
VA4404664658742,9487,0149,1258,961
WA3684254427522,4586,2548,2667,434
WV8889831826381,8642,4362,406
WI3013072965452,0985,2846,6157,232
WY33293153187556657581
*Please note that there is insufficient data for children <10

Good news!

One of the benefits of actually looking at the data and not relying on the media is that questions start forming when patterns emerge without some of the biases that could be formed due to the bombardment of the sensationalism that can be found in media outlets, no matter their political leaning.

I had been puzzled by why there seemed to be difference case fatality rates in different countries.

Here’s the current data for South Korea. The CFR there is about 0.5%.

Compare that to Iran and Italy, where the CFRs are a little above 3%. The obvious question is “why the difference?”

I had a hunch based on my very early assumptions about mild and asymptomatic disease. That led me to wonder if the differences might have to do with testing. Once I did a media search, I found my answer.

South Korea has the second-largest national caseload of coronavirus, and has tested far more than most nations. As of Monday, South Korea had tested a total of 105,379 people…Italy has the most cases in Europe with 1,694 as of Monday. Italy has carried out more than 23,300 tests.” Unfortunately, there doesn’t seem to be much data from Iran, but they are preparing to test “tens of thousands.”

Image result for mike drop

I have suspected since early on that the CFR was artificially high. This is some solid evidence that assumption was right. Don’t let the tail wag the dog. This is how information from the media should be used.