Chapter 52 “the post pandemic world : no more biological warfare research”
We knew where to point the fingers for COVID-19 and that was the Americans and the Chinese and for Virus # 26 it was the Turks and the Iranians who the Americans paid back in limited nuclear strikes. In both cases it amounted to negligence by humans in the pursuit of evil ends. Science focused on how to kill millions that did far worse than the murderous scientists working on the Manhattan Project to develop a nuclear bomb for the Americans so they could drop it on Germany or Japan and end World War 2. If there is a God all these scientists would be roasting in hell along with their ambition to kill and maim millions.
So the end result of all this murdering in the name of science came to an end with a United Nations treaty “A Convention to Outlaw Biological Warfare and its Research”. All countries signed this treaty, even North Korea. This time all countries had suffered under biological warfare research gone wrong so it looked as if this treaty was not a treaty made to be broken. So many scientists had become whores for close to a century and we all hoped this would end their murderous inclinations
Squeeze that meat perhaps too much fatty white slime chunky rump roast succulent chop once attired by a now despondent pig and at the butcher the burlesque show continues
Chapter 51 “the post pandemic world: physical and mental exhaustion yet a time for hope”
After close to 12 years of pandemics the world was exhausted both physically and mentally of having to contend with waves of viral attacks. The endless curtailment of liberties and freedom of assembly. The propaganda. Pig headed politicians. A media sadly lacking in critical analysis and sponging off the dedicated and hardworking front-line workers making wet eyed stories about them. The world was at the end of its rope. It was time to mourn and heal. We all needed a vacation from tragedy. Just some time to live without fear.
Societies learnt a lot about medicine, politics, and all about those damn viruses. They also learnt about good politicians and bad ones. After all this suffering there could be endless bitterness but most of the world took a mindful approach and realized you could not change what had happened so move on and deal with the sad stream of history by responding instead of reacting. By responding I mean making sure that these viruses or their mutated cousins would not return and if they did create a globally accepted plan to manage them properly.
There was also a greater appreciation of what one had and thankfulness for being alive. I lost my wife and son but I kept my daughter Alexis and had a strong and loving relationship with her as we had faced so many horrible things together so one can say that sometimes there is a silver lining in each cloud.
greedy grasping suburban sniffers assemble after work haunted by prospects of lower class blues fired by ambitious dreams ontological drama forgotten in the dance of dollars the future manager shines like the star of Bethlehem Steel clamouring to absorb the techniques of worker manipulation and win the Audi A 7 respect, dignity wholesome people of the community and not even that expensive Italian fragrance masks the smell of their shit
If you like a short film that has you querying what really is going on when the credits role “All Too Perfect” may very well be for you.
Sam (Nabil Ayoub) and Alex (Bridget Ori) have a seemingly perfect relationship until Sam’s phone starts binging away. Alex jokes when she hears it was a call from Julia that Julia is the love of Sam’s life. However it is no joke as Alex eventually demands Sam’s password for his phone who initially refuses.
Tension between the two rises and Sam says he will give the password to Alex who then apologizes to Sam and in bed they tumble for some passionate lovemaking. While Sam is alone in their bed Julia calls again and apologizes for being a bother and sends her regards to Alex.
So what is going on here? Jealously, mistrust and anger. Or is Alex reading the situation correctly? Who knows and that’s part of the fun. What we do know by the end of the short their relationship is not perfect. Very few are. As Frank Sinatra signs, “That’s Life”.
I wish Counterbalance Collective would end my misery and produce a sequel so we get the low down.
Well written by Erika Nonato and with just the right musical score. Ori and Ayoub play their roles perfectly. Ori can turn on the charm one minute and be aggressive and offensive immediately after. Great tension in the 8-minute short.
You can watch it here on Counterbalance Collective’s YouTube Channel.
This is my story so I should update you about where I ended up.
You may recall my gangster patient Spike gave me title to his ritzy Toronto penthouse condo but in addition to that he willed me his “compound” in Sunridge, Ontario, Sunridge is a tiny town 275 kilometres from Toronto. I quit my job at a cardiologist in a major Toronto hospital and headed up to a beautiful heavily forested area with Alexis and the drugs, cash, gold coins and ammo Spike had in his condo.
What a change from the concrete jungle rat race in Toronto. My compound was 10 kilometres from the centre of the town. It was surrounded by heavy forest except for 4 acres of fields where cannabis was growing destined for the illegal Toronto market. I was taken aback by two heavily armed bikers living in a barbed wire enclosed cabin near the fields. Chester and Cedric were Spike’s boys and I struck a deal with them. They were to guard the cannabis and myself, Alexis and Pill Boy my Westie. In return they could keep half the cannabis harvest and I would take the rest.
You would think that Cedric and Chester were very bad ass thugs and they were but inside that vicious exterior they were like shy little boys Even Pill Boy, who barked at any living creature, just loved those two guys and they spoiled him rotten. Friday nights was Italian pasta night with red wine and of course cannabis for Chester and Cedric. Alexis was becoming a fine chef specializing in Italian cuisine. It wasn’t too long after we arrived that Alexis had a truck garden growing beside the cannabis. The annual San Marzano tomato harvest and bottling was far more important to Alexis than the cannabis harvest. Pill Boy was in seventh heaven hunting small rodents and constantly cuddled and belly rubbed by the two “hoodlums” Real life can set you straight on stereotypes!
And the house on the compound was an ultra luxurious “log cabin” with all the gadgets including a home theatre, restaurant equipped kitchen, eight bedrooms and an ultra high-tech security system. The basement was a bunker. A “panic room” stocked with enough food to last for years, a kitchen, a three thousand bottle wine cellar and an arsenal of weapons, a huge vault filled with gold bullion, a sauna and a nuclear grade air filtration system. My oh my what a lifestyle drugs could offer! I was beginning to feel a bit like Pablo Escobar.
Once the locals realized I was but simple cardiologist and not a narco king they were incredibly friendly. In fact their local doctor had ben killed off by Virus # 26 so his abandoned clinic was mine. It took a bit of time to revert to general medicine after being a specialist which was rewarding as I got to know “the whole system” as opposed to the heart. Alexis, Pill Boy and Dr. Evan Terpene fit in nicely in the community. In all the carnage and misery I suppose I felt a bit guilty being so very happy but never look a gift horse in the mouth.
What about all the city people flocking to the country for food. Well the local civil guard so well armed (thanks to Spike putting them on his payroll) occasionally had to repel marauders. My half share of the cannabis harvest was more than enough to give the local civil guard immunity to Virus # 26. Me a gentle physician now a Rambo killer and a narco king! And boy oh boy these local folks make such incredible lemon meringue pies. Real country cooking!
the son and daughter in law’s visit celebrated by the baking of an orange cake lovingly recreated as her late husband’s favourite memories choke relieved temporarily through martinis secretly spirited away in the kitchen seek to soothe but barbs life’s sadistic daggers deeper from wounds that will never heal only temporarily addressed by hope foistered on three children such as mother and daughter so close long distance calls come every day on the company’s phone line for free the Protestant ethic assuaged by a little corporate thieving chain smoking organizer of corporate conventions over organized in her own life threatening anyone seeking some love except for the Connecticut family man looking for free sex on platters of Manhattan meat markets the futility is not perceived even the mother hears about it her daughter carried drunk and sobbing in an ice cold bath end of the affair and even friends snicker at the mega organized terror another ice cube shatters on a greasy kitchen floor redirecting thoughts to an older son driven to opiated comforts now sees succession problems with fragments of brain scattered in India, Thailand and Nepal magic mushrooms and the absence of responsibility now in Alberta hunted by telephone company inspectors for unpaid bills after all why give a damn when last Christmas dear old Mom called his fiancé a slut and now the youngest victim of sanguine distances and prisoner of proximate locale grows weary of the frustration on a battlefield he may have created but only through his existence stolen away by a hated daughter in law as they both arrive disturbing lemon peel ruminations greeted by tottering mother slurred greetings of “he’s just like his father” so obliterated not even aware of her bitterness further fueled by cheap Hungarian wine burbles out more frustrated insults throughout a botched chicken casserole from a recipe dear daughter sent then a string of lewd insults generates disgust and a whirlwind exit and the untouched orange cake on the counter thrown out the window with a splat
Note: Provisional death counts are based on death certificate data received and coded by the National Center for Health Statistics as of February 3, 2021. Death counts are delayed and may differ from other published sources (see Technical Notes). Counts will be updated every Wednesday by 5pm. Additional information will be added to this site as available.
As of January 4, 2021, the tables and datasets on this page include data from January 2020 through the present data period. Cumulative death totals will be higher than previous reports which were restricted to include data from the week ending February 1, 2020.
For the Index of Provisional COVID-19 Mortality Surveillance and Ad-hoc Data Files, click here.
Sex and Age
Table 1 has counts of death involving COVID-19 and select causes of death by sex and age group for the United States. For data on sex and age at the state level, Click here to download. For data on sex and age by week, Click here to download.
NOTICE TO USERS: The data file for deaths by sex and age at the state level has been updated on September 2, 2020 to include the following age groups in addition to the age groups that are routinely included: 0-17, 18-29, 30-49, and 50-64. The new age groups are consistent with categories used across CDC COVID-19 surveillance pages. When analyzing the file, the user should make sure to select only the desired age groups. Summing across all age categories provided will result in double counting deaths from certain age groups.
Data on deaths involving COVID-19 among ages 0–18 are available here: Click here to download.
Table 1. Deaths involving coronavirus disease 2019 (COVID-19), pneumonia, and influenza reported to NCHS by sex and age group, United States, from 1/1/2020 to 1/30/2021.*
Updated February 3, 2021
Sex
Age group
All Deaths involving COVID-19 (U07.1)1
Deaths from All Causes
Deaths involving Pneumonia, with or without COVID-19, excluding Influenza deaths (J12.0–J18.9)2
Deaths involving COVID-19 and Pneumonia, excluding Influenza (U07.1 and J12.0–J18.9)2
All Deaths involving Influenza, with or without COVID-19 or Pneumonia (J09–J11)3
Deaths involving Pneumonia, Influenza, or COVID-19 (U07.1 or J09–J18.9)4
Population5
Total
All ages
421,378
3,509,397
374,722
199,396
8,808
604,353
328,239,523
Under 1 year
44
19,044
205
7
21
263
3,783,052
1–4 years
23
3,470
122
3
59
201
15,793,631
5–14 years
67
5,623
157
13
75
286
40,994,163
15–24 years
601
36,171
759
224
81
1,212
42,687,510
25–34 years
2,677
74,513
2,819
1,206
233
4,506
45,940,321
35–44 years
7,057
106,497
6,519
3,242
354
10,654
41,659,144
45–54 years
19,454
195,929
17,478
9,671
764
27,913
40,874,902
55–64 years
49,131
453,824
47,337
25,289
1,622
72,563
42,448,537
65–74 years
89,896
698,926
84,679
46,749
1,883
129,427
31,483,433
75–84 years
117,104
856,102
105,607
57,895
1,911
166,469
15,969,872
85 years and over
135,324
1,059,298
109,040
55,097
1,805
190,859
6,604,958
Males
All ages
228,825
1,834,618
208,471
114,501
4,551
326,632
161,657,324
Under 1 year
30
10,536
121
5
10
156
1,935,117
1–4 years
14
2,001
58
2
38
108
8,074,090
5–14 years
38
3,351
86
10
37
151
20,941,023
15–24 years
362
26,761
457
131
38
722
21,810,359
25–34 years
1,712
52,565
1,715
748
114
2,782
23,359,180
35–44 years
4,664
69,820
4,039
2,148
185
6,715
20,792,080
45–54 years
13,019
123,007
10,860
6,465
446
17,783
20,171,966
55–64 years
31,466
279,477
28,913
16,102
934
45,048
20,499,219
65–74 years
55,160
406,425
51,278
29,064
1,051
78,239
14,699,579
75–84 years
65,636
446,966
60,374
33,795
962
93,030
6,998,223
85 years and over
56,724
413,709
50,570
26,031
736
81,898
2,376,488
Females
All ages
192,545
1,674,673
166,245
84,890
4,257
277,712
166,582,199
Under 1 year
14
8,475
84
2
11
107
1,847,935
1–4 years
9
1,469
64
1
21
93
7,719,541
5–14 years
29
2,272
71
3
38
135
20,053,140
15–24 years
239
9,408
302
93
43
490
20,877,151
25–34 years
965
21,944
1,104
458
119
1,724
22,581,141
35–44 years
2,393
36,674
2,480
1,094
169
3,939
20,867,064
45–54 years
6,434
72,918
6,617
3,205
318
10,129
20,702,936
55–64 years
17,665
174,339
18,424
9,187
688
27,515
21,949,318
65–74 years
34,734
292,492
33,400
17,684
832
51,186
16,783,854
75–84 years
51,465
409,124
45,230
24,098
949
73,435
8,971,649
85 years and over
78,598
645,558
58,469
29,065
1,069
108,959
4,228,470
NOTE: Number of deaths reported in this table are the total number of deaths received and coded as of the date of analysis and do not represent all deaths that occurred in that period. Counts of death occurring before or after the reporting period are not included in the table.
*Data during this period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.
1Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1.
2Counts of deaths involving pneumonia include pneumonia deaths that also involve COVID-19 and exclude pneumonia deaths involving influenza.
3Counts of deaths involving influenza include deaths with pneumonia or COVID-19 also listed as a cause of death.
Data by race and Hispanic origin are available at the national, state, and county level. Data by race and Hispanic origin is also available by age at the national and state level. Click here to visit the NCHS Health Disparities: Race and Hispanic origin page.
Place of death
Table 2 presents death counts of COVID-19 and other select causes of death by the place of death. For data on place of death at the state level, Click here to download.
Table 2. Deaths involving coronavirus disease 2019 (COVID-19), pneumonia, and influenza reported to NCHS by place of death, United States, from 1/1/2020 to 1/30/2021.*
Updated February 3, 2021
Place of death
All Deaths involving COVID-19 (U07.1)1
Deaths from All Causes
Deaths involving Pneumonia, with or without COVID-19, excluding Influenza deaths (J12.0–J18.9)2
Deaths involving COVID-19 and Pneumonia, excluding Influenza (U07.1 and J12.0–J18.9)2
All Deaths involving Influenza, with or without COVID-19 or Pneumonia (J09–J11)3
Total
421,378
3,509,397
374,722
199,396
8,808
Healthcare setting, inpatient
268,953
1,067,282
274,252
159,686
5,553
Healthcare setting, outpatient or emergency room
13,849
208,478
11,407
4,550
374
Healthcare setting, dead on arrival
368
9,837
247
100
17
Decedent’s home
26,696
1,166,864
24,904
6,638
1,684
Hospice facility
12,103
211,375
16,687
5,920
408
Nursing home/long term care facility
90,951
608,845
41,223
20,226
636
Other
8,288
233,472
5,897
2,227
133
Place of death unknown
170
3,244
105
49
3
NOTE: Number of deaths reported in this table are the total number of deaths received and coded as of the date of analysis and do not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the table.
*Data during this period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.
1Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1.
2Counts of deaths involving pneumonia include pneumonia deaths that also involve COVID-19 and exclude pneumonia deaths involving influenza.3Counts of deaths involving influenza include deaths with pneumonia or COVID-19 also listed as a cause of death.
Comorbidities and other conditions
Table 3 shows the types of health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19). For 6% of the deaths, COVID-19 was the only cause mentioned. For deaths with conditions or causes in addition to COVID-19, on average, there were 2.9 additional conditions or causes per death. The number of mentions for each condition or cause is shown for all deaths and by age groups.
Starting December 23, 2020, the data file will also include the number of deaths that mention the listed conditions. The new column, “COVID-19 Deaths” represents the number of deaths that mention one or more of the conditions indicated. The data file’s existing “Number of Mentions” column represents the number of total conditions mentioned for each age group.
For data on the comorbidities and conditions mentioned in COVID-19 deaths, Click here to download.
Table 3. Conditions contributing to deaths involving coronavirus disease 2019 (COVID-19), by age group, United States. Week ending 1/4/2020 to 1/30/2021.*
Updated February 3, 2021
Number of Conditions
Age Group
Conditions Contributing to Deaths where COVID-19 was listed on the death certificate1
NOTE: Number of conditions reported in this table are tabulated from deaths received and coded as of the date of analysis and do not represent all deaths that occurred in that period. Data for this table are derived from a cut of the NVSS database taken at a particular time, separate from other surveillance tables on this page which are tabulated on the date of update. As a result, the total number of COVID-19 deaths in this table may not match other surveillance tables on this page.
*Data during the period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more.
1Conditions contributing to the death were identified using the International Classification of Diseases, Tenth Revision (ICD–10). Deaths involving more than one condition (e.g., deaths involving both diabetes and respiratory arrest) were counted in both totals. To avoid counting the same death multiple times, the numbers for different conditions should not be summated.2Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1.
This data visualization presents data on weekly counts of all-cause mortality by jurisdiction of occurrence. Counts of deaths in the most recent weeks are compared with historical trends to determine whether the number of deaths in recent weeks is significantly higher than expected.
Yelps and barks of circus seals tenuously balancing sparkling balls adequately but not dangerously ostentatious don’t ruffle the placid master your audience but then don’t underplay even though regulations and conventions dictate a certain humility statutory interpretation on the trapeze act the tumble can be wicked return to delaying promises and options prudently promised optionally false for the survival of the dream bureaucracy depends on that illusion and the salaries of the wizards the silver haired corporate beggars rattle tin cups against the rages of the market discretely of course the pounding on the door louder nespotisticless victims who contemplate the tragedy thought personal yet almost universal
Frustration of a poet who in a narcistic moment might join an advertising agency
Is the poet’s gross national product limited to 87 poems and from that point on clever loquaciousness which for all concerned might better have remained as crumpled balls of paper
Table 1. Deaths involving coronavirus disease 2019 (COVID-19), pneumonia, and influenza reported to NCHS by sex and age group, United States, from 1/1/2020 to 1/30/2021.*
A Bird's Eye View of Fashion, Food, Travel, Culture, Beverage and Curiosity 