One chart compares coronavirus cases per capita in the hardest-hit countries around the world — Switzerland, Spain, and Italy top the list (done first on FR?)

Business Insider ^ | March 26, 2020 | Shayanne Gal and Aylin Woodward

[DoodleBob]

The US, China, and Italy (in that order) have the highest number of coronavirus cases in the world. But an analysis of coronavirus cases per capita — the number of cases per million residents — in various countries reveals a different story.

Switzerland, not China, tops the list of COVID-19 cases per capita, with 1,340 cases per million people. It's followed by Spain, then Italy.

The US, which has the highest number of coronavirus cases in the world — more than 83,000 — is low on the cases per capita list. Only 210 people in the US had been infected per million Americans as of Thursday morning. The US's case total continues to climb quickly, however, and a country's number of cases per capita changes constantly as new cases get reported. That, in turn, depends on how many people get tested.

Nearly 530,000 people in 175 countries have gotten the new coronavirus since December.

[DoodleBob]

Nuts. Not fair...I working the kinks out before posting. I'm #1.

The daily threads make my head spin. There is too much good stuff to absorb. I much prefer the ping list. That way I outsource the discernment of what's important or not to null.

[DoodleBob]

Fair point but how can you explain the U.K.?

[Ken Regis]

I’ve been saying for weeks that a per capita report would reveal far more than a simple “# of cases” report.

Thanks!

[DoodleBob]

WA state’s confirmed case count adjusted for population puts them on par with France.

[Cvengr]

Transportation hub in Vienna Austria, and Zurich, Switzerland.

[Cvengr]

1% of confirmed cases, but it’s misleading if comparing to other illnesses. Since COVID-19 likely isn’t observable in the first week, total number of cases might be 10x as high, so death rate might be 0.1%.

[norwaypinesavage]

It’s interesting to note that some “news” organizations are actually declaring “Trump Lied” when he declared that the US had conducted more testing than any other countries, because he didn’t use the per-capita test numbers. Some of them are now saying that the actual death count must be used, NOT the per-capita numbers.

[bray]

So deaths are around 1 per million and almost all have underlying diseases.

[null and void]

That way I outsource the discernment of what's important or not to null.

I often think of myself as a clipping service...

[GOPJ]

Thanks expat...

https://i.imgur.com/0w9yMBz.jpg

[Wuli]

Using the incidence per million chart, the average Cov-19 incidence is 0.0556% of the population; slightly more than 1/2 of 1/10th of 1% of the population.

For the U.S. the figure would be 0.0210% of the population; or just a little more than 2/100ths of 1%.

[daniel1212]

And way before this was a chart for US states with cases compared to state pop,. size, and an invitation for readers to do the math, which char I have been waiting to update, by the grace of God, maybe when cases decrease.

Recent data for Covid-19 cases as of 3-19-20 7AM alongside the increased number of tests, plus death rates for the 2017-18 flu (you must do the math). This table will not be updated until cases and deaths decrease.

Below is a list of states per currently reported COVID-19 infections (from Politico via The COVID Tracking Project as of 3-19-20 7:25 AM EDT. CNN reports higher numbers but not the death or testing numbers) in comparison with population size and number of tests. The latter is important since the rate of infections must be compared with the degree of tests in order to determine the rate of transmission. Both can be compared with the population size as well as the percent of infections per capita. You use an online calculator such as here but which I have not done.

For Covid, the NYT (3-13) sounded this alarm: “Between 160 million and 214 million people in the U.S. could be infected over the course of the epidemic, according to one projection. That could last months or even over a year, with infections concentrated in shorter periods, staggered across time in different communities, experts said. As many as 200,000 to 1.7 million people could die.” (https://www.nytimes.com/2020/03/13/us/coronavirus-deaths-estimate.html)

Meanwhile, although Covid-19 has hardly competed its run, yet for comparison with the flu we have the morality rate for the flu per state for the 2017-2018 season and total deaths, the latter of which I have provided along side the Covid-19 counts in the table below. Additional stats on the current 2019-2020 flu season are provided below the table. Also, most of the names of the states in the table are listed according to how they were first ordered in a report by CNN in a 3-13 report of cases, which was the basis for my first version of this compilation.

And according to estimates, between 61,000 to 80,000 Americans died during the 2017-2018 season, the latter being the highest death toll in 40 years. During that 2017-2018 season, the percentage of deaths attributed to pneumonia and influenza (P&I) was at or above the epidemic threshold for 16 consecutive weeks. Nationally, mortality attributed to P&I exceeded 10.0% for four consecutive weeks, peaking at 10.8% during the week ending January 20, 2018, (https://www.cdc.gov/flu/about/season/flu-season-2017-2018.htm) with older Americans dying at a rate of 169 Americans a day, or seven people per hour. (https://www.aarp.org/health/conditions-treatments/info-2018/older-flu-deaths-rising.html

Below the table are also some stats on other causes of death.

In any case, I pray that this crisis, both real and inflated, works to bring souls to realize the need for help from above, for repentance and mercy from God through faith in the risen Lord Jesus, thanks be to God for all.

State	Population	COVID-19 cases	Percent of infections per capita (you do the math)	Tests	Test increase since last week	Deaths from COVID-19 (3-18-20)	Deaths from Flu in 2017-2018 (last available data from CDC)
New York	19,453,561	2382		14597	+14193	12	4,749
Washington (27 tied to one nursing home )	7,614,893	1012		14129	+10726	52	930
California	39,512,223	690		8592	+7474	13	6,917
Massachusetts	6,949,503	256		2,271	+2,176	0	1,441
Colorado	5,758,736	183		1,800	+1,457	2	568
Georgia	10,617,423	183		1,508	+1,477	1	1,530
Florida	21,477,737	314		2493	+2013	7	3.091
Illinois	12,671,821	288		2052	+1,685	1	2,564
New Jersey	8,882,190	427		638	+514	5	1,465
Texas	28,995,881	83		1,907	+1,884	2	3,516
Oregon	4,217,737	75		1,554	+1,187	3	530
Pennsylvania	12,801,989	133		1,320	+1,101	0	2,887
Iowa	3,155,070	29		128	+23	0	697
Louisiana	4,648,794	240		575	+524	6	824
Maryland	6,045,680	85		179	+73	0	973
North Carolina	10,488,084	63		1,850	+1,778	0	2,064
District of Columbia	705,749	39				0	N/A
Indiana	6,732,219	39		193	+129	2	1,118
Nebraska	1,934,408	24		230	+107	0	394
South Carolina	5,148,714	60		643	+585	1	882
Wisconsin	5,822,434	106		1,683	+1,591	0	1,075
Arizona	7,278,717	28		278	+163	0	1,116
Virginia	8,535,519	77		1,278	+1,144	1	1.283
Kentucky	4,467,673	35		380	+316	0	969
South Dakota	884,659	11		913	+867	1	245
Nevada	3,080,156	55		353	+178	1	527
Tennessee	6,833,174	98		447	+350	0	1,646
Minnesota	5,639,632	77		2,762	+2,446	0	698
New Hampshire	1,359,711	26		747	+626	0	265
Rhode Island	1,059,361	33		907	+800	0	192
New Mexico	2,096,829	28		2,354	+2,194	0	365
Ohio	11,689,100	77		551	+464	0	2,395
Connecticut	3,565,287	68		193	+98	0	757
Utah	3,205,958	63		194	+58	0	353
Hawaii	1,415,872	14		119	+117	0	542
Michigan	9,986,857	80		355	+235	0	1,869
Oklahoma	3,956,971	29		517	+474	0	809
Vermont	623,989	19		611	+512	0	87
Arkansas	3,017,825	33		319	+269	0	670
Delaware	973,764	25		76	+35	0	167
Kansas	2,913,314	16		433	+388	1	630
Mississippi	2,976,149	34		513	+471	0	910
Missouri	6,137,428	13		266	+201	0	1,477
North Dakota	762,062	6		274	+247	0	152
Wyoming	578,759	15		193	+192	0	128
Alabama	4,903,185	46		96	+86	0	1,268
Idaho	1,792,065	9		468	+375	0	235
West Virginia	1,787,147	2		137	+129	1	539
Maine	1,344,212	43		1,713	+1,627	0	312
Montana	1,068,778	10		509	+474	0	152
Alaska	731,545	6		412	+352	0	68
Total (3-16)		8,131		82,571		132	Over 80k. Above totals may be less.

• As for the 2019-2020 Flu season:

The overall cumulative hospitalization rate was 61.6 per 100,000 population which is higher than all recent seasons at this time of year except for the 2017-18 season. Rates in children 0-4 years old and adults 18-49 years old are now the highest CDC has on record for these age groups, surpassing the rate reported during the 2009 H1N1 pandemic. Hospitalization rates for school-aged children are higher than any recent regular season but lower than rates during the pandemic.

2019-2020 Season Cumulative Rate per 100,000 Population
Overall	61.6
0-4 years	88.9
5-17 years	22.6
18-49 years	32.8
50-64 years	80.8
65+ years	159.4

• Among 2,867 hospitalized adults with information on underlying medical conditions, 92.3% had at least one reported underlying medical condition, the most commonly reported were cardiovascular disease, metabolic disorder, obesity, and chronic lung disease. Among 472 hospitalized children with information on underlying medical conditions, 48.3% had at least one underlying medical condition; the most commonly reported was asthma. Among 477 hospitalized women of childbearing age (15-44 years) with information on pregnancy status, 27.5% were pregnant. (https://www.cdc.gov/flu/weekly/index.htm#ILIActivityMap)(Retrieved 3-17-20)