Overview
These are brand new tables just for South America
showing how the arrival of the new Omicron
strains were affecting each location in 2021.
To view more recent data from 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 -- Dec. 30, 2021. 
These tables are a snapshot of 1 day per week
since November 18, 2021.  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.
Red in the Cases change row
or the Deaths change
A red number in bold means this is the maximum
row means a significant change above normal, such
as going from a 3 digit number to a 4 digit number.
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.
|
\             
 Country        \   Year |
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2021 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | |||||||
|---|---|---|---|---|---|---|---|---|
|
Guyana
            Date
Cases change Deaths change |
Nov 18
37,090 +557 968 +13 |
Nov 25
37,613 +523 983 +15 |
Dec 2
38,027 +414 998 +15 |
Dec 9
38,402 +375 1,014 +16 |
Dec 16
38,728 +326 1,026 +12 |
Dec 23
38,998 +270 1,042 +16 |
Dec 30
39,394 +396 1,052 +10 |
|
|
Suriname
         Date
Cases change Deaths change |
Nov 18
50,356 +454 1,143 +17 |
Nov 25
50,656 +300 1,158 +15 |
Dec 2
50,929 +273 1,169 +11 |
Dec 9
51,149 +220 1,176 +7 |
Dec 16
51,323 +174 1,179 +3 |
Dec 23
51,542 +219 1,186 +7 |
Dec 30
52,269 +727 1,189 +3 |
|
|
Uruguay
          Date
Cases change Deaths change |
Nov 18
397,318 +1,354 6,110 +13 |
Nov 25
398,676 +1,358 6,123 +13 |
Dec 2
400,275 +1,599 6,132 +9 |
Dec 9
401,897 +1,622 6,140 +8 |
Dec 16
403,582 +1,685 6,149 +9 |
Dec 23
406,127 +2,545 6,159 +10 |
Dec 30
411,658 +5,531 6,169 +10 |
|
|
Venezuela
        Date
Cases change Deaths change |
Nov 18
422,229 +5,109 5,049 +44 |
Nov 25
428,453 +6,224 5,115 +66 |
Dec 2
433,208 +4,755 5,170 +55 |
Dec 9
436,602 +3,394 5,223 +53 |
Dec 16
440,398 +3,796 5,265 +42 |
Dec 23
442,431 +2,033 5,306 +41 |
Dec 30
444,411 +1,980 5,324 +18 |
|
|
Paraguay
        Date
Cases change Deaths change |
Nov 18
462,146 +572 16,349 +76 |
Nov 25
462,533 +387 16,366 +17 |
Dec 2
463,199 +666 16,475 +109 |
Dec 9
463,580 +381 16,492 +17 |
Dec 16
464,004 +424 16,517 +25 |
Dec 23
465,028 +1,024 16,596 +79 |
Dec 30
466,101 +1,073 16,624 +28 |
|
|
Ecuador
          Date
Cases change Deaths change |
Nov 18
521,792 +2,232 33,088 +99 |
Nov 25
524,432 +2,640 33,128 +40 |
Dec 2
526,870 +2,438 33,250 +122 |
Dec 9
530,126 +3,256 33,494 +244 |
Dec 16
535,414 +5,288 33,586 +92 |
Dec 23
538,218 +2,804 33,624 +38 |
Dec 30
547,186 +8,968 33,672 +48 |
|
|
Bolivia
             Date
Cases change Deaths change |
Nov 18
527,380 +5,862 19,049 +51 |
Nov 25
533,756 +6,376 19,121 +72 |
Dec 2
540,869 +7,113 19,205 +84 |
Dec 9
547,892 +7,023 19,276 +71 |
Dec 16
560,684 +12,792 19,391 +115 |
Dec 23
570,876 +10,192 19,496 +105 |
Dec 30
591,773 +20,897 19,650 +154 |
|
|
Chile
                Date
Cases change Deaths change |
Nov 18
1,735,187 +17,102 38,049 +132 |
Nov 25
1,751,769 +16,582 38,218 +169 |
Dec 2
1,766,493 +14,724 38,403 +185 |
Dec 9
1,778,370 +11,877 38,600 +197 |
Dec 16
1,787,676 +9,306 38,773 +173 |
Dec 23
1,796,232 +8,556 38,954 +181 |
Dec 30
1,804,682 +8,450 39,096 +142 |
|
|
Peru
                Date
Cases change Deaths change |
Nov 18
2,219,617 +8,251 200,767 +213 |
Nov 25
2,229,741 +10,124 200,987 +220 |
Dec 2
2,236,351 +6,610 201,176 +189 |
Dec 9
2,249,671 +13,320 201,527 +351 |
Dec 16
2,260,180 +10,509 202,076 +549 |
Dec 23
2,271,549 +11,369 202,424 +348 |
Dec 30
2,292,254 +20,705 202,653 +229 |
|
|
Columbia
        Date
Cases change Deaths change |
Nov 18
5,040,665 +16,402 127,963 +283 |
Nov 25
5,057,897 +17,232 128,290 +327 |
Dec 2
5,074,079 +16,182 128,643 +353 |
Dec 9
5,088,008 +13,929 128,969 +326 |
Dec 16
5,101,466 +13,458 129,295 +326 |
Dec 23
5,115,194 +13,728 129,640 +345 |
Dec 30
5,147,039 +31,845 129,901 +261 |
|
|
Argentina
       Date
Cases change Deaths change |
Nov 18
5,312,089 +9,644 116,341 +132 |
Nov 25
5,322,127 +10,038 116,480 +139 |
Dec 2
5,335,310 +13,183 116,617 +137 |
Dec 9
5,350,867 +15,557 116,719 +102 |
Dec 16
5,376,642 +25,775 116,874 +155 |
Dec 23
5,428,957 +52,315 116,979 +105 |
Dec 30
5,606,745 +177,788 117,146 +167 |
|
|
Brazil
              Date
Cases change Deaths change |
Nov 18
21,989,962 +65,364 612,144 +1,920 |
Nov 25
22,055,238 +65,276 613,642 +1,498 |
Dec 2
22,118,782 +63,544 615,179 +1,537 |
Dec 9
22,177,059 +58,277 616,457 +1,278 |
Dec 16
22,201,221 +24,162 617,271 +814 |
Dec 23
22,230,943 +29,722 618,492 +1,221 |
Dec 30
22,281,649 +50,706 619,249 +757 |
|
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,
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
such as going from a 3 digit number to a 4 digit number.
found in that category within this entire table.
|
\             
Country           \  Year |
- - - - - - - - - - - - - - - - - - - - - - - - - - - 2021 - - - - - - - - - - - - - - - - - - - - - - - - - - - | |||||||
|---|---|---|---|---|---|---|---|---|
|
Venezuela
          Date
Cases change Deaths change |
Nov 18
1,490 +18 18 +0 |
Nov 25
1,512 +22 18 +0 |
Dec 2
1,529 +17 18 +0 |
Dec 9
1,541 +12 18 +0 |
Dec 16
1,554 +13 19 +1 |
Dec 23
1,561 +7 19 +0 |
Dec 30
1,568 +7 19 +0 |
|
|
Ecuador
             Date
Cases change Deaths change |
Nov 18
2,904 +12 184 +0 |
Nov 25
2,919 +15 184 +0 |
Dec 2
2,932 +13 185 +1 |
Dec 9
2,951 +19 186 +1 |
Dec 16
2,980 +29 187 +1 |
Dec 23
2,996 +16 187 +0 |
Dec 30
3,046 +50 187 +0 |
|
|
Bolivia
               Date
Cases change Deaths change |
Nov 18
4,445 +50 161 +1 |
Nov 25
4,499 +54 161 +0 |
Dec 2
4,559 +60 162 +1 |
Dec 9
4,618 +59 162 +0 |
Dec 16
4,726 +108 163 +1 |
Dec 23
4,811 +85 164 +1 |
Dec 30
4,988 +177 166 +2 |
|
|
Guyana
             Date
Cases change Deaths change |
Nov 18
4,689 +70 122 +1 |
Nov 25
4,755 +66 124 +2 |
Dec 2
4,807 +52 126 +2 |
Dec 9
4,855 +48 128 +2 |
Dec 16
4,896 +41 130 +2 |
Dec 23
4,930 +34 132 +2 |
Dec 30
4,980 +50 133 +1 |
|
|
Paraguay
           Date
Cases change Deaths change |
Nov 18
6,385 +8 226 +1 |
Nov 25
6,390 +5 226 +0 |
Dec 2
6,400 +10 228 +2 |
Dec 9
6,405 +5 228 +0 |
Dec 16
6,411 +6 228 +0 |
Dec 23
6,425 +14 229 +1 |
Dec 30
6,440 +15 230 +1 |
|
|
Peru
                   Date
Cases change Deaths change |
Nov 18
6,620 +24 599 +1 |
Nov 25
6,650 +30 599 +0 |
Dec 2
6,670 +20 600 +1 |
Dec 9
6,710 +40 601 +1 |
Dec 16
6,741 +31 603 +2 |
Dec 23
6,775 +34 604 +1 |
Dec 30
6,837 +62 604 +0 |
|
|
Columbia
          Date
Cases change Deaths change |
Nov 18
9,780 +32 248 +0 |
Nov 25
9,814 +34 249 +1 |
Dec 2
9,845 +31 250 +1 |
Dec 9
9,872 +27 250 +0 |
Dec 16
9,898 +26 251 +1 |
Dec 23
9,925 +27 252 +1 |
Dec 30
9,986 +61 252 +0 |
|
|
Chile
                  Date
Cases change Deaths change |
Nov 18
8,984 +88 197 +1 |
Nov 25
9,070 +86 198 +1 |
Dec 2
9,146 +76 199 +1 |
Dec 9
9,208 +62 200 +1 |
Dec 16
9,256 +48 201 +1 |
Dec 23
9,300 +44 202 +1 |
Dec 30
9,344 +44 202 +0 |
|
|
Brazil
                 Date
Cases change Deaths change |
Nov 18
10,257 +31 286 +1 |
Nov 25
10,287 +30 286 +0 |
Dec 2
10,317 +30 287 +1 |
Dec 9
10,344 +27 288 +1 |
Dec 16
10,355 +11 288 +0 |
Dec 23
10,369 +14 288 +0 |
Dec 30
10,393 +24 289 +1 |
|
|
Suriname
          Date
Cases change Deaths change |
Nov 18
8,593 +77 195 +3 |
Nov 25
8,644 +51 198 +3 |
Dec 2
8,691 +47 199 +1 |
Dec 9
8,728 +37 201 +2 |
Dec 16
8,758 +30 201 +0 |
Dec 23
8,796 +38 202 +1 |
Dec 30
8,920 +124 203 +1 |
|
|
Argentina
          Date
Cases change Deaths change |
Nov 18
11,624 +21 255 +1 |
Nov 25
11,646 +22 255 +0 |
Dec 2
11,675 +29 255 +0 |
Dec 9
11,709 +34 255 +0 |
Dec 16
11,766 +57 256 +1 |
Dec 23
11,880 +114 256 +0 |
Dec 30
12,269 +389 256 +0 |
|
|
Uruguay
            Date
Cases change Deaths change |
Nov 18
11,391 +39 175 +0 |
Nov 25
11,430 +39 176 +1 |
Dec 2
11,476 +46 176 +0 |
Dec 9
11,522 +46 176 +0 |
Dec 16
11,571 +49 176 +0 |
Dec 23
11,644 +73 177 +1 |
Dec 30
11,802 +158 177 +0 |
|
These sources examine research papers and
https://www.youtube.com/watch?v=jTftlM0MJUk -- 25:42 -- Dec 30, 2021
https://www.youtube.com/watch?v=PYLbJ0H8zdc -- 18:24 Jan 2, 2022
https://www.youtube.com/watch?v=TrVGymR-jFU -- 24:32 Jan 12, 2022
https://www.youtube.com/watch?v=a1R09yIKqq4 -- 21:54 Jan 13, 2022
https://www.youtube.com/watch?v=mZAa1BsB2ZI -- 16:01 Jan 15, 2022
https://www.youtube.com/watch?v=U3W84wb5jKo -- 25:25 Jan 16, 2022
https://www.youtube.com/watch?v=7QVAXZPNaMI -- 26:29 Jan 17, 2022
https://www.youtube.com/watch?v=VVxmAIKjYM4 -- 33:11 Jan 18, 2022
https://www.youtube.com/watch?v=uP_p0a9pWCQ -- 27:16 Jan 18, 2022
https://www.youtube.com/watch?v=n09uw2wzF1o -- 24:24 Jan 25, 2022
https://www.youtube.com/watch?v=c32vDjyNE-M -- 26:11 Jan 26, 2022
https://www.youtube.com/watch?v=sDzbdNV8L20 -- 8:59 Feb 25, 2022
https://www.youtube.com/watch?v=ITr7oOsrXRI -- 24:35 Mar 1, 2022
Back to
Covid-19 Infection History
Sources worth looking into:
translate the data and findings into lay terms.
Dr. John Campbell: Omicron, orientation and unknowns
Dr. John Campbell: Omicron is displacing delta science
Dr. John Campbell: International data agrees
Dr. John Campbell: US hospital concerns
Dr. John Campbell: Pre-infection advice
"Omicron exposure is inevitable, an optimized immune system is not"
Dr. John Campbell: Specialists now agree on endemic ending
Dr. John Campbell: Vaccination advice in the age of omicron
Chris Martenson: Deaths in New Zealand [from mRNA vaccines]
Dr. John Campbell: Omicron, S.Africa, UK, US in that order
Dr. John Campbell: Daughter of omicron
Dr. John Campbell: Study confirms omicron reinfections
Dr. John Campbell: Is new omicron (BA.2) more severe (No)
Dr. John Campbell: Deaths WITH covid increase
-- Darrel Joy
All the way back to
Joy's Wild Plants