Covid-19 comparisons for South America for Jan-Mar, 2022

Overview

These are brand new tables just for South America
showing how the arrival of the new Omicron
strains are affecting each location in 2022.

To view older data from 2021, go there.

To view newer data from April-June 2022, go there.

Below, you will find 2 tables:
1.  Weekly raw data (Go here)
2.  Weekly data scaled per 100,000 population (Go here)

My sources show that the new Omicron strains
have arrived world-wide.  A high death rate,
continues in some countries while it has declined
in others.  The Omicron strains have displaced the
other, more deadly strains of the Covid-19 virus. 

Expectations based upon early research on Omicron
in South Africa was that deaths would go down,
but just the opposite occurred in the U.K., the
United States, and other western countries.  That
was before a surge in South Africa's death rate
in more recent weeks.  Now they are saying that
the higher death rate is tied to the huge increases
in the number of cases.

Statistics in the United Kingdom show that most
of the U.K.'s deaths from Omicron were among
those who also had one or more comorbidities
such as being overweight or having diabetes.

As Omicron spreads so quickly and so thoroughly
world-wide, many believe that it has become
endemic and thus unavoidable like the common
cold.  Since Omicron often has mild symptoms
that closely resemble the common cold, Omicron
may become yet another virus that can give people
a cold each year.  Even a common cold can be
deadly to someone already in poor health.

While people who had recovered from an earlier
strain of Covid-19 were being infected again by
the Omicron strain, the reverse was never true,
so Omicron seems to be providing protection
from those earlier strains.

A new Omicron strain, BA.2, that is thought to be
even more contageous has already surfaced, but
its symptoms were no worse than Omicron BA.1.

Check out my sources at the bottom of this webpage.

The arrival of Omicron is obvious when the
Change in Cases for a location jumps from
consistently low values to high values.  This
is often (but not always) followed by a rise or
drop in the Change in the number of Deaths. 

The countries are ordered best (fewest Covid cases)
to worst (most Covid cases) using the latest infection
Cases numbers in the last column in the table --
Mar. 31, 2022. 

These tables are a snapshot of 1 day per week
since January 6, 2022.  The "change" rows
are the changes in Cases or Deaths since the
previous week.

These tables are useful in noting trends.  Pay special
attention to the "change" rows, as comparing these
will help you to determine how quickly infections
and/or deaths are increasing.  An exceptionally
large increase is displayed in red.

Disclaimer:
Tables of data such as this are only as good as the
source of that data.  These tables merely reflect
what was reported.  Some locations are reporting
only once a week.

South American Covid-19 Raw Data for Jan-Mar, 2022

Red in the Cases change row or the Deaths change
row means a significant change above normal, such
as going from a 3 digit number to a 4 digit number.

A red number in bold means this is the maximum
found in that category within this entire table.

The table below lists the Covid-19 infection rate
and deaths as raw data plus computed changes.

South American Covid-19 Infection Raw Data for Jan-Mar, 2022
\             
 Country        \   Year 		- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Guyana             Date
Cases
change
Deaths
change 		Jan 6
42,385
+2,991
1,064
+12 		Jan 13
48,191
+5,806
1,075
+11 		Jan 20
54,736
+6,545
1,111
+36 		Jan 27
58,604
+3,868
1,156
+45 		Feb 3
60,676
+2,072
1,176
+20 		Feb 10
62,061
+1,385
1,188
+12 		Feb 17
62,537
+476
1,203
+15 		Feb 24
62,798
+261
1,216
+13 		Mar 3
63,002
+204
1,223
+7 		Mar 10
63,107
+105
1,224
+1 		Mar 17
63,175
+68
1,226
+2 		Mar 24
63,208
+33
1,226
+0 		Mar 31
63,253
+45
1,226
+0
Suriname          Date
Cases
change
Deaths
change 		Jan 6
56,041
+3,772
1,195
+6 		Jan 13
61,708
+5,667
1,203
+8 		Jan 20
68,560
+6,852
1,228
+25 		Jan 27
72,548
+3,988
1,256
+28 		Feb 3
74,858
+2,310
1,274
+18 		Feb 10
76,703
+1,845
1,294
+20 		Feb 17
77,549
+846
1,307
+13 		Feb 24
78,016
+467
1,315
+8 		Mar 3
78,394
+378
1,317
+2 		Mar 10
78,705
+311
1,319
+2 		Mar 17
78,893
+188
1,322
+3 		Mar 24
79,112
+219
1,324
+2 		Mar 31
79,221
+109
1,324
+0
Venezuela         Date
Cases
change
Deaths
change 		Jan 6
446,026
+1,615
5,345
+21 		Jan 13
450,892
+4,866
5,373
+28 		Jan 20
463,145
+12,253
5,395
+22 		Jan 27
477,022
+13,877
5,425
+30 		Feb 3
491,016
+13,994
5,469
+44 		Feb 10
501,586
+10,570
5,521
+52 		Feb 17
509,600
+8,014
5,582
+61 		Feb 24
512,947
+3,347
5,625
+43 		Mar 3
515,943
+2,996
5,643
+18 		Mar 10
517,720
+1,777
5,655
+12 		Mar 17
519,059
+1,339
5,663
+8 		Mar 24
519,943
+884
5,674
+11 		Mar 31
520,497
+554
5,683
+9
Paraguay         Date
Cases
change
Deaths
change 		Jan 6
472,673
+6,572
16,658
+34 		Jan 13
475,686
+3,013
16,670
+12 		Jan 20
516,555
+40,869
16,887
+217 		Jan 27
559,906
+43,351
17,176
+289 		Feb 3
598,170
+38,264
17,476
+300 		Feb 10
618,815
+20,645
17,801
+325 		Feb 17
632,444
+13,629
18,116
+315 		Feb 24
639,078
+6,634
18,315
+199 		Mar 3
642,982
+3,904
18,440
+125 		Mar 10
645,383
+2,401
18,517
+77 		Mar 17
646,630
+1,247
18,559
+42 		Mar 24
647,672
+1,042
18,608
+49 		Mar 31
647,950
+278
18.664
+56
Ecuador           Date
Cases
change
Deaths
change 		Jan 6
559,950
+12,764
33,699
+27 		Jan 13
559,950
+0
33,699
+0 		Jan 20
629,507
+69,557
34,232
+533 		Jan 27
691,898
+62,391
34,362
+130 		Feb 3
732,038
+40,140
34,533
+171 		Feb 10
781,470
+49,432
34,854
+321 		Feb 17
808,925
+27,455
35,105
+251 		Feb 24
827,760
+18,835
35,223
+118 		Mar 3
836,216
+8,456
35,264
+41 		Mar 10
843,760
+7,544
35,316
+52 		Mar 17
849,699
+5,939
35,348
+32 		Mar 24
855,314
+5,615
35,413
+65 		Mar 31
859,890
+4,576
35,421
+8
Uruguay           Date
Cases
change
Deaths
change 		Jan 6
430,958
+19,300
6,186
+17 		Jan 13
483,820
+52,862
6,211
+25 		Jan 20
556,163
+72,343
6,272
+61 		Jan 27
631,019
+74,856
6,389
+117 		Feb 3
700,511
+69,492
6,579
+190 		Feb 10
758,366
+57,855
6,710
+131 		Feb 17
800,833
+42,467
6,838
+128 		Feb 24
831,950
+31,117
6,932
+94 		Mar 3
849,050
+17,100
7,014
+82 		Mar 10
860,663
+11,613
7,075
+61 		Mar 17
871,081
+10,418
7,120
+45 		Mar 24
881,152
+10,071
7,147
+27 		Mar 31
887,935
+6,783
7,159
+12
Bolivia              Date
Cases
change
Deaths
change 		Jan 6
641,817
+50,044
19,848
+198 		Jan 13
711,299
+69,482
20,103
+255 		Jan 20
795,087
+83,788
20,504
+401 		Jan 27
841,757
+46,670
20,824
+320 		Feb 3
867,071
+25,314
21,073
+249 		Feb 10
878,922(
+11,851
21,219
+146 		Feb 17
887,089
+8,167
21,342
+123 		Feb 24
891,851
+4,762
2,140
+64 		Mar 3
894,200
+2,349
21,453
+47 		Mar 10
896,744
+2,544
21,472
+19 		Mar 17
898,941
+2,197
21,477
+5 		Mar 24
900,557
+1,616
21,484
+7 		Mar 31
901,943
+1,386
21,894
+410
Chile                 Date
Cases
change
Deaths
change 		Jan 6
1,817,300
+12,618
39,207
+111 		Jan 13
1,849,465
+32,165
39,331
+124 		Jan 20
1,916,522
+67,057
39,456
+125 		Jan 27
2,045,874
+129,352
39,594
+138 		Feb 3
2,258,005
+212,131
39,824
+230 		Feb 10
2,504,168
+246,163
40,273
+449 		Feb 17
2,747,552
+243,384
40,936
+663 		Feb 24
2,953,895
+206,343
41,795
+859 		Mar 3
3,122,802
+168,907
42,683
+888 		Mar 10
3,249,890
+127,088
43,527
+844 		Mar 17
3,353,259
+103,369
44,246
+719 		Mar 24
3,426,147
+72,888
56,147
+11,901 		Mar 31
3,470,936
+44,789
56,580
+433
Peru                 Date
Cases
change
Deaths
change 		Jan 6
2,329,717
+37,463
202,934
+281 		Jan 13
2,473,709
+143,992
203,255
+321 		Jan 20
2,780,049
+306,340
203,868
+613 		Jan 27
3,120,401
+340,352
204,940
+1,072 		Feb 3
3,308,693
+188,292
206,406
+1,466 		Feb 10
3,397,637
+88,944
207,536
+1,130 		Feb 17
3,466,309
+68,672
208,789
+1,253 		Feb 24
3,506,075
+39,766
210,116
+1,327 		Mar 3
3,518,721
+12,646
210,744
+628 		Mar 10
3,531,075
+12,354
211,364
+620 		Mar 17
3,539,400
+8,325
211,691
+327 		Mar 24
3,543,790
+4,390
212,022
+331 		Mar 31
3,546,696
+2,906
212,207
+185
Columbia         Date
Cases
change
Deaths
change 		Jan 6
5,242,672
+95,633
130,191
+290 		Jan 13
5,440,981
+198,309
130,625
+434 		Jan 20
5,655,026
+214,045
131,627
+1,002 		Jan 27
5,816,462
+161,436
133,292
+1,665 		Feb 3
5,930,393
+113,931
135,043
+1,751 		Feb 10
6,002,570
+72,177
136,583
+1,540 		Feb 17
6,035,143
+32,573
137,733
+1,150 		Feb 24
6,056,556
+21,413
138,421
+688 		Mar 3
6,068,074
+11,518
138,939
+518 		Mar 10
6,074,874
+6,800
139,220
+281 		Mar 17
6,079,231
+4,357
139,386
+166 		Mar 24
6,082,577
+3,346
139,531
+145 		Mar 31
6,084,916
+2,339
139,621
+90
Argentina        Date
Cases
change
Deaths
change 		Jan 6
6,025,303
+418,558
117,386
+240 		Jan 13
6,793,119
+767,816
117,808
+422 		Jan 20
7,576,335
+783,216
118,809
+1,001 		Jan 27
8,207,752
+631,417
120,352
+1,543 		Feb 3
8,515,285
+307,533
122,152
+1,800 		Feb 10
8,700,437
+185,152
123,707
+1,555 		Feb 17
8,799,858
+99,421
124,924
+1,217 		Feb 24
8,878,486
+78,628
125,872
+948 		Mar 3
8,921,536
+43,050
126,531
+659 		Mar 10
8,961,595
+40,059
127,009
+478 		Mar 17
8,990,413
+28,818
127,363
+354 		Mar 24
9,021,240
+30,827
127,780
+417 		Mar 31
9,037,911
+16,671
128,019
+239
Brazil               Date
Cases
change
Deaths
change 		Jan 6
22,328,252
+46,603
619,654
+405 		Jan 13
22,822,177
+493,925
620,830
+1,176 		Jan 20
23,595,178
+773,001
622,476
+1,642 		Jan 27
24,789,795
+1,194,617
625,390
+2,914 		Feb 3
26,107,894
+1,318,099
630,301
+4,911 		Feb 10
27,135,550
+1,027,656
636,338
+6,037 		Feb 17
27,940,119
+804,569
642,156
+5,818 		Feb 24
28,589,235
+649,116
647,703
+5,547 		Mar 3
28,913,214
+323,979
650,876
+3,173 		Mar 10
29,259,206
+345,992
654,380
+3,504 		Mar 17
29,532,810
+273,604
656,693
+2,313 		Mar 24
29,775,568
+242,758
658,600
+1,907 		Mar 31
29,951,670
+176,102
660,022
+1,422


South American Covid-19 Data per 100,000 Population for Jan-Mar, 2022

This table contains computed data. 
The table below lists the Covid-19 infection rate
and deaths per 100,000 in population for the
mainland countries in South America.  I have
taken the number of Cases, divided that number
by the population, and multiplied the result by
100,000 to get the numbers in this table.  Similar
computations were done with the Deaths.  The
data is rounded up or down to the nearest integer
value.  The data used to make the computations
come from the table above, which comes from ...
https://coronavirus.jhu.edu/map.html

The populations were found on the internet and
the values that I used can be viewed here.

Red in the Cases row means 20,000 (20%) or more Cases per 100,000 population.

Red in the Cases change row means a significant change above normal,
such as going from a 3 digit number to a 4 digit number.

Red in the Deaths row means 250 or more Deaths per 100,000 population.

Red in the Deaths change row means a change of +5 or more.

A red number in bold means this is the maximum
found in that category within this entire table.


South American Covid-19 Infection Data per 100,000 Population for Jan-Mar, 2022
\           
Country           \ Year 		- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Venezuela           Date
Cases
change
Deaths
change 		Jan 6
1,574
+6
19
+0 		Jan 13
1,591
+17
19
+0 		Jan 20
1,634
+43
19
+0 		Jan 27
1,683
+49
19
+0 		Feb 3
1,733
+50
19
+0 		Feb 10
1,770
+37
19
+0 		Feb 17
1,798
+28
20
+1 		Feb 24
1,810
+12
20
+0 		Mar 3
1,821
+11
20
+0 		Mar 10
1,827
+6
20
+0 		Mar 17
1,832
+5
20
+0 		Mar 24
1,835
+3
20
+0 		Mar 31
1,837
+2
20
+0
Ecuador              Date
Cases
change
Deaths
change 		Jan 6
3,117
+71
188
+1 		Jan 13
3,117
+0
188
+0 		Jan 20
3,504
+387
191
+3 		Jan 27
3,851
+347
191
+0 		Feb 3
4,074
+223
192
+1 		Feb 10
4,349
+275
194
+2 		Feb 17
4,502
+153
195
+1 		Feb 24
4,607
+105
196
+1 		Mar 3
4,654
+47
196
+0 		Mar 10
4,696
+42
197
+1 		Mar 17
4,729
+33
197
+0 		Mar 24
4,760
+31
197
+0 		Mar 31
4,786
+26
197
+0
Bolivia                Date
Cases
change
Deaths
change 		Jan 6
5,409
+421
167
+1 		Jan 13
5,995
+586
169
+2 		Jan 20
6,701
+706
173
+4 		Jan 27
7,094
+393
176
+3 		Feb 3
7,308
+214
178
+2 		Feb 10
7,408
+100
179
+1 		Feb 17
7,477
+69
180
+1 		Feb 24
7,517
+40
180
+0 		Mar 3
7,536
+19
181
+1 		Mar 10
7,558
+22
181
+0 		Mar 17
7,576
+18
181
+0 		Mar 24
7,590
+14
181
+0 		Mar 31
7,602
+12
187
+4
Guyana              Date
Cases
change
Deaths
change 		Jan 6
5,358
+378
135
+2 		Jan 13
6,092
+734
136
+1 		Jan 20
6,920
+828
140
+4 		Jan 27
7,409
+489
146
+6 		Feb 3
7,671
+262
149
+3 		Feb 10
7,846
+175
150
+1 		Feb 17
7,906
+60
152
+2 		Feb 24
7,939
+33
154
+2 		Mar 3
7,965
+26
155
+1 		Mar 10
7,978
+13
155
+0 		Mar 17
7,987
+9
155
+0 		Mar 24
7,991
+4
155
+0 		Mar 31
7,997
+6
155
+0
Paraguay            Date
Cases
change
Deaths
change 		Jan 6
6,530
+90
230
+0 		Jan 13
6,572
+42
230
+0 		Jan 20
7,137
+565
233
+3 		Jan 27
7,736
+599
237
+4 		Feb 3
8,264
+528
241
+4 		Feb 10
8,550
+286
246
+5 		Feb 17
8,738
+188
250
+4 		Feb 24
8,829
+91
253
+3 		Mar 3
8,883
+54
255
+2 		Mar 10
8,917
+34
256
+1 		Mar 17
8,934
+17
256
+0 		Mar 24
8,948
+14
257
+1 		Mar 31
8,952
+4
258
+1
Peru                    Date
Cases
change
Deaths
change 		Jan 6
6,949
+112
605
+1 		Jan 13
7,378
+429
606
+1 		Jan 20
8,292
+914
608
+2 		Jan 27
9,307
+1,015
611
+3 		Feb 3
9,868
+561
616
+5 		Feb 10
10,134
+266
619
+3 		Feb 17
10,339
+205
623
+4 		Feb 24
10,457
+118
627
+3 		Mar 3
10,495
+38
629
+2 		Mar 10
10,532
+37
630
+1 		Mar 17
10,557
+25
631
+1 		Mar 24
10,570
+13
632
+1 		Mar 31
10,578
+8
633
+1
Columbia           Date
Cases
change
Deaths
change 		Jan 6
10,172
+186
253
+1 		Jan 13
10,557
+385
254
+1 		Jan 20
10,972
+415
255
+1 		Jan 27
11,285
+313
259
+4 		Feb 3
11,506
+221
262
+3 		Feb 10
11,646
+140
265
+3 		Feb 17
11,710
+64
267
+2 		Feb 24
11,751
+41
269
+2 		Mar 3
11,774
+23
270
+1 		Mar 10
11,787
+13
270
+0 		Mar 17
11,795
+8
270
+0 		Mar 24
11,802
+7
271
+1 		Mar 31
11,806
+4
271
+0
Suriname           Date
Cases
change
Deaths
change 		Jan 6
9,563
+643
204
+1 		Jan 13
10,530
+967
205
+1 		Jan 20
11,700
+1,170
210
+5 		Jan 27
12,380
+680
214
+4 		Feb 3
12,774
+394
217
+3 		Feb 10
13,089
+315
221
+4 		Feb 17
13,234
+145
223
+2 		Feb 24
13,313
+79
224
+1 		Mar 3
13,378
+65
225
+1 		Mar 10
13,431
+53
225
+0 		Mar 17
13,463
+32
226
+1 		Mar 24
13,500
+37
226
+0 		Mar 31
13,519
+19
226
+0
Brazil                  Date
Cases
change
Deaths
change 		Jan 6
10,415
+22
289
+0 		Jan 13
10,645
+230
290
+1 		Jan 20
11,006
+361
290
+0 		Jan 27
11,563
+557
292
+2 		Feb 3
12,178
+615
294
+2 		Feb 10
12,657
+479
297
+3 		Feb 17
13,032
+375
300
+3 		Feb 24
13,335
+303
302
+2 		Mar 3
13,486
+151
304
+2 		Mar 10
13,648
+162
305
+1 		Mar 17
13,775
+127
306
+1 		Mar 24
13,888
+113
307
+1 		Mar 31
13,971
+83
308
+1
Chile                   Date
Cases
change
Deaths
change 		Jan 6
9,409
+65
203
+1 		Jan 13
9,576
+167
204
+1 		Jan 20
9,923
+347
204
+0 		Jan 27
10,593
+670
205
+1 		Feb 3
11,691
+1,098
206
+1 		Feb 10
12,966
+1,275
209
+3 		Feb 17
14,226
+1,260
212
+3 		Feb 24
15,294
+1,068
216
+4 		Mar 3
16,169
+875
221
+5 		Mar 10
16,827
+658
225
+4 		Mar 17
17,362
+535
229
+4 		Mar 24
17,739
+377
291
+62 		Mar 31
17,971
+232
293
+2
Argentina           Date
Cases
change
Deaths
change 		Jan 6
13,185
+916
257
+1 		Jan 13
14,865
+1,680
258
+1 		Jan 20
16,579
+1,714
260
+2 		Jan 27
17,961
+1,382
263
+3 		Feb 3
18,634
+673
267
+4 		Feb 10
19,039
+405
271
+4 		Feb 17
19,257
+218
273
+2 		Feb 24
19,428
+171
275
+2 		Mar 3
19,523
+95
277
+2 		Mar 10
19,610
+87
278
+1 		Mar 17
19,674
+64
279
+1 		Mar 24
19,741
+67
280
+1 		Mar 31
19,777
+36
280
+0
Uruguay             Date
Cases
change
Deaths
change 		Jan 6
12,355
+553
177
+0 		Jan 13
13,871
+1,516
178
+1 		Jan 20
15,945
+2,074
180
+2 		Jan 27
18,091
+2,146
183
+3 		Feb 3
20,083
+1,992
189
+6 		Feb 10
21,742
+1,659
192
+3 		Feb 17
22,960
+1,218
196
+4 		Feb 24
23,852
+892
199
+3 		Mar 3
24,342
+490
201
+2 		Mar 10
24,675
+333
203
+2 		Mar 17
24,974
+299
204
+1 		Mar 24
25,262
+288
205
+1 		Mar 31
25,457
+195
205
+0


Sources worth looking into:

These sources examine research papers and
translate the data and findings into lay terms.

https://www.youtube.com/watch?v=jTftlM0MJUk -- 25:42 -- Dec 30, 2021
Dr. John Campbell: Omicron, orientation and unknowns

https://www.youtube.com/watch?v=PYLbJ0H8zdc -- 18:24 Jan 2, 2022
Dr. John Campbell: Omicron is displacing delta science

https://www.youtube.com/watch?v=TrVGymR-jFU -- 24:32 Jan 12, 2022
Dr. John Campbell: International data agrees

https://www.youtube.com/watch?v=a1R09yIKqq4 -- 21:54 Jan 13, 2022
Dr. John Campbell: US hospital concerns

https://www.youtube.com/watch?v=mZAa1BsB2ZI -- 16:01 Jan 15, 2022
Dr. John Campbell: Pre-infection advice
"Omicron exposure is inevitable, an optimized immune system is not"

https://www.youtube.com/watch?v=U3W84wb5jKo -- 25:25 Jan 16, 2022
Dr. John Campbell: Specialists now agree on endemic ending

https://www.youtube.com/watch?v=7QVAXZPNaMI -- 26:29 Jan 17, 2022
Dr. John Campbell: Vaccination advice in the age of omicron

https://www.youtube.com/watch?v=VVxmAIKjYM4 -- 33:11 Jan 18, 2022
Chris Martenson: Deaths in New Zealand [from mRNA vaccines]

https://www.youtube.com/watch?v=uP_p0a9pWCQ -- 27:16 Jan 18, 2022
Dr. John Campbell: Omicron, S.Africa, UK, US in that order

https://www.youtube.com/watch?v=n09uw2wzF1o -- 24:24 Jan 25, 2022
Dr. John Campbell: Daughter of omicron

https://www.youtube.com/watch?v=c32vDjyNE-M -- 26:11 Jan 26, 2022
Dr. John Campbell: Study confirms omicron reinfections

https://www.youtube.com/watch?v=sDzbdNV8L20 -- 8:59 Feb 25, 2022
Dr. John Campbell: Is new omicron (BA.2) more severe (No)

https://www.youtube.com/watch?v=ITr7oOsrXRI -- 24:35 Mar 1, 2022
Dr. John Campbell: Deaths WITH covid increase



-- Darrel Joy

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