Friday, 26 August 2022

Monkeypox vs Covid – The First 100 Days

 Monkeypox vs Covid – The First 100 Days

The Covid-19 pandemic is apparently over (but maybe not, time will tell), but now comes Monkeypox. So, an obvious question that comes to mind is, how does the beginning of the global Monkeypox outbreak compare to the start of the global Covid outbreak? To that end, this essay has mined some data from Our World in Data to make these comparisons, along with making some reasonable assumptions to put them into perspective.

Straight-up Comparison

The graph below is a straight-up comparison of the raw data, for the first 100 days, of the course of the two outbreaks. Looking at it this way, there is little similarity between the two; Covid-19 was a much more extreme outbreak than Monkeypox has been, at least so far.


Adjustment for Uncertainty in Start Dates

One problem with this comparison, is that it is difficult to say just when the two outbreaks began. The first day of the published data for the Covid-19 outbreak has 557 cases listed, which is obviously wrong. On the other hand, the published data for the Monkeypox outbreak begins with only 1 case for the first two days, then jumps to 11 by the third day. (The raw data is shown at the end of the blog).

So, the data has been adjusted, imputing some new adjusted data, by back-extrapolating the first few days, via the use of a smooth power law function that fits the data rather well, after this early “scanty-data” period. The graphs below show how this was done (i.e. used the equations to calculate the earlier predicted points).



With these adjusted start dates, the new Covid vs Monkeypox graph is shown below. This closes up the comparison between the Covid and Monkeypox outbreaks somewhat, though the Covid numbers are still much higher than the Monkeypox numbers.


 

Adjustment for At-Risk Populations

The most recent evidence shows that the two pandemics have effected very different populations. Covid-19 was quite widespread, hitting all age groups and genders, though Covid had a tendency for severe outcomes (hospitalizations and deaths) to increase with age and it was somewhat more severe for males than females. But, in terms of cases, the entire population of a given country tended to be hit fairly equally.

On the other hand, Monkeypox was almost entirely confined to a small section of the population, which has described as “men who have sex with men” (MSM). So, a more appropriate comparison of the two outbreaks might be made by simulating Covid-19 data, as it would apply to that smaller part of the population.

To do this, a few assumptions have to be made:

  • MSM are males.

  • MSM make up about 3 percent of the male population, or about 1.5% of the population in general.

  • MSM that are at risk of Monkeypox are mostly in the 20 to 59 age groups (presumably, the most sexually active group).

To adjust Covid-19 cases to simulate this sub-group, the numbers for the overall population were multiplied by 0.015, which produces the graph shown below.


This graph shows that once the differences in the at-risk populations are accounted for, the early stages of these outbreaks are rather similar. Making reasonable changes in the above assumptions will alter the graph to some extent, but this essential feature will remain true.

Another way to look at the situation is to simulate Monkeypox figures, as might be the case if the virus mutated into a form that spread through the air, in the manner of the corona virus that causes Covid-19. This can be done by dividing the Monkeypox data by 0.015, yielding the graph shown below.


 Although this graph has the same overall form of the previous one, it does emphasize that Monkeypox could have quite a Covid-like effect, if it was to evolve in this direction. Granted, that seems unlikely, as it is not an RNA-based virus, and thus should mutate at a much smaller rate than the SARS-2 Corona virus did.

Comparison of Deaths from Covid vs Monkeypox

So far, Monkeypox has had a very low fatality rate. As of the first 100 days, only about a dozen people were recorded as dying from Monkeypox, from a case count of over 35,000. So, that’s only about one per three thousand cases. Covid, on the other, had recorded about 240,000 fatalities by day 100. That’s a huge difference.

Or is it? Again, we have to account for the difference in at-risk populations:

  • There were about 3.25 million Covid cases by Day 100.

  • However, the MSM sub-group would only account for about 1.5% of these, or a bit under 41,000 cases.

  • But in this age range (20-59) the case fatality rate was very low, at about 1.2 per thousand in many industrialized counties, the set that has been hit hardest by Monkeypox.

  • So, that would imply about 49 fatalities in this particular sub-group of the population.

That’s about 4 times more fatalities than were seen in the Monkeypox group, implying that Covid-19 is probably more severe in its effects than Monkeypox, or at least it was in the early stages of the pandemic.

Nonetheless, it also implies that if Monkeypox were to become widespread in the overall population, the effects would be quite severe. Added to that, is the fact that Monkeypox has historically been much more severe in children than in other age groups.  So, a Monkeypox pandemic that included large numbers of children could be very tragic, indeed.

So, in summary, a widespread Monkeypox pandemic would be a bad thing, something that we definitely would want to avoid.



Source Data – From Our World in Data

Original Data

Start-Date Adjusted

Day

Covid-19

Monkeypox

Day

Covid-19

Monkeypox

1

557

1

1

1

1

2

657

1

2

4

2

3

944

11

3

14

3

4

1,437

11

4

37

5

5

2,120

11

5

82

8

6

2,929

11

6

160

13

7

5,580

12

7

284

18

8

6,169

13

8

557

26

9

8,237

13

9

657

36

10

9,927

17

10

944

41

11

12,038

17

11

1,437

60

12

16,787

20

12

2,120

105

13

19,887

41

13

2,929

121

14

23,899

60

14

5,580

121

15

27,644

105

15

6,169

194

16

30,806

121

16

8,237

230

17

34,400

121

17

9,927

274

18

37,131

194

18

12,038

362

19

40,162

230

19

16,787

414

20

42,771

274

20

19,887

431

21

44,814

362

21

23,899

451

22

45,232

414

22

27,644

574

23

60,384

431

23

30,806

639

24

66,912

451

24

34,400

723

25

69,055

574

25

37,131

848

26

71,238

639

26

40,162

942

27

73,273

723

27

42,771

950

28

75,155

848

28

44,814

1,057

29

75,655

942

29

45,232

1,172

30

76,216

950

30

60,384

1,322

31

76,846

1,057

31

66,912

1,419

32

78,608

1,172

32

69,055

1,565

33

78,990

1,322

33

71,238

1,608

34

79,558

1,419

34

73,273

1,617

35

80,412

1,565

35

75,155

1,731

36

81,384

1,608

36

75,655

1,791

37

82,728

1,617

37

76,216

2,035

38

84,152

1,731

38

76,846

2,182

39

86,023

1,791

39

78,608

2,558

40

88,402

2,035

40

78,990

2,752

41

90,382

2,182

41

79,558

2,757

42

92,994

2,558

42

80,412

2,764

43

95,316

2,752

43

81,384

3,058

44

98,027

2,757

44

82,728

3,340

45

101,957

2,764

45

84,152

3,514

46

106,088

3,058

46

86,023

4,072

47

109,942

3,340

47

88,402

4,276

48

114,265

3,514

48

90,382

4,288

49

119,051

4,072

49

92,994

4,484

50

126,527

4,276

50

95,316

4,871

51

133,283

4,288

51

98,027

5,219

52

146,477

4,484

52

101,957

5,372

53

157,365

4,871

53

106,088

6,179

54

168,598

5,219

54

109,942

6,448

55

183,165

5,372

55

114,265

6,492

56

198,339

6,179

56

119,051

6,532

57

215,899

6,448

57

126,527

7,026

58

242,986

6,492

58

133,283

7,473

59

272,516

6,532

59

146,477

7,705

60

304,943

7,026

60

157,365

8,395

61

339,156

7,473

61

168,598

9,455

62

381,711

7,705

62

183,165

9,577

63

423,596

8,395

63

198,339

9,604

64

475,075

9,455

64

215,899

10,195

65

535,890

9,577

65

242,986

11,067

66

599,820

9,604

66

272,516

11,485

67

669,402

10,195

67

304,943

12,096

68

725,918

11,067

68

339,156

12,984

69

790,929

11,485

69

381,711

13,000

70

869,371

12,096

70

423,596

13,038

71

951,084

12,984

71

475,075

13,855

72

1,033,528

13,000

72

535,890

15,049

73

1,117,697

13,038

73

599,820

15,623

74

1,177,956

13,855

74

669,402

16,263

75

1,250,135

15,049

75

725,918

16,983

76

1,324,652

15,623

76

790,929

16,987

77

1,393,480

16,263

77

869,371

17,021

78

1,475,476

16,983

78

951,084

18,307

79

1,562,248

16,987

79

1,033,528

19,842

80

1,648,773

17,021

80

1,117,697

20,995

81

1,724,228

18,307

81

1,177,956

21,836

82

1,843,259

19,842

82

1,250,135

23,056

83

1,914,995

20,995

83

1,324,652

23,141

84

1,999,444

21,836

84

1,393,480

23,273

85

2,077,235

23,056

85

1,475,476

24,490

86

2,171,659

23,141

86

1,562,248

25,932

87

2,259,490

23,273

87

1,648,773

26,585

88

2,337,722

24,490

88

1,724,228

27,708

89

2,414,435

25,932

89

1,843,259

28,875

90

2,490,358

26,585

90

1,914,995

28,989

91

2,566,573

27,708

91

1,999,444

29,129

92

2,648,525

28,875

92

2,077,235

31,116

93

2,731,129

28,989

93

2,171,659

32,549

94

2,815,167

29,129

94

2,259,490

33,700

95

2,898,660

31,116

95

2,337,722

34,388

96

2,969,529

32,549

96

2,414,435

35,797

97

3,040,471

33,700

97

2,490,358

35,940

98

3,116,272

34,388

98

2,566,573

36,060

99

3,193,642

35,797

99

2,648,525

37,534

100

3,277,493

35,940

100

2,731,129

38,853


Sources:

https://ourworldindata.org/monkeypox

https://www.cebm.net/covid-19/excess-mortality-across-countries-in-2020/

https://www.worldometers.info/coronavirus/#countries

Some earlier Covid-19 blogs:

https://dodecahedronbooks.blogspot.com/2021/03/covid-19-vaccines-positive-results-from.html

https://dodecahedronbooks.blogspot.com/2021/03/covid-19-vaccines-how-successfully-are.html

https://dodecahedronbooks.blogspot.com/2020/12/covid-19-vaccines-comparison-of.html

https://dodecahedronbooks.blogspot.com/2020/09/covid-19-continues-to-travel-around.html

https://dodecahedronbooks.blogspot.com/2020/07/has-covid-19-become-less-deadly.html

https://dodecahedronbooks.blogspot.com/2020/07/july-2020-update-covid-19-death-rates.html

https://dodecahedronbooks.blogspot.com/2020/05/covid-19-death-rates-correlate-highly.html

https://dodecahedronbooks.blogspot.com/2020/06/covid-19-impact-on-employment-no-impact.html

https://dodecahedronbooks.blogspot.com/2020/04/is-there-model-that-can-predict-when-to.html

https://dodecahedronbooks.blogspot.com/2020/03/estimating-fatality-rate-of-coronavirus.html

There are more Covid-related posts on the blog, that can be found from the labels coronavirus and Covid-19.

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And, here’s a more pleasant travel story than anticipating the worldwide journey of a virus.

A Drive Across Newfoundland


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Newfoundland, Canada’s most easterly province, is a region that is both fascinating in its unique culture and amazing in its vistas of stark beauty. The weather is often wild, with coastal regions known for steep cliffs and crashing waves (though tranquil beaches exist too). The inland areas are primarily Precambrian shield, dominated by forests, rivers, rock formations, and abundant wildlife. The province also features some of the Earth’s most remarkable geology, notably The Tablelands, where the mantle rocks of the Earth’s interior have been exposed at the surface, permitting one to explore an almost alien landscape, an opportunity available on only a few scattered regions of the planet.

The city of St. John’s is one of Canada’s most unique urban areas, with a population that maintains many old traditions and cultural aspects of the British Isles. That’s true of the rest of the province, as well, where the people are friendly and inclined to chat amiably with visitors. Plus, they talk with amusing accents and party hard, so what’s not to like?

This account focusses on a two-week road trip in October 2007, from St. John’s in the southeast, to L’Anse aux Meadows in the far northwest, the only known Viking settlement in North America. It also features a day hike visit to The Tablelands, a remarkable and majestic geological feature. Even those who don’t normally consider themselves very interested in geology will find themselves awe-struck by these other-worldly landscapes.

A Ride on the Kettle Valley Rail Trail: A Biking Journal Kindle Edition


by Dale Olausen (Author), Helena Puumala (Editor)

The Kettle Valley Rail Trail is one of the longest and most scenic biking and hiking trails in Canada. It covers a good stretch of the south-central interior of British Columbia, about 600 kilometers of scenic countryside. British Columbia is one of the most beautiful areas of Canada, which is itself a beautiful country, ideal for those who appreciate natural splendour and achievable adventure in the great outdoors.

The trail passes through a great variety of geographical and geological regions, from mountains to valleys, along scenic lakes and rivers, to dry near-desert condition grasslands. It often features towering canyons, spanned by a combination of high trestle bridges and long tunnels, as it passes through wild, unpopulated country. At other times, it remains quite low, in populated valleys, alongside spectacular water features such as beautiful Lake Okanagan, an area that is home to hundreds of vineyards, as well as other civilized comforts.

The trail is a nice test of one’s physical fitness, as well as one’s wits and adaptability, as much of it does travel through true wilderness. The views are spectacular, the wildlife is plentiful and the people are friendly. What more could one ask for?

What follows is a journal of two summers of adventure, biking most of the trail in the late 1990s. It is about 33,000 words in length (2 to 3 hours reading), and contains numerous photographs of the trail. There are also sections containing a brief history of the trail, geology, flora and fauna, and associated information.

After reading this account, you should have a good sense of whether the trail is right for you. If you do decide to ride the trail, it will be an experience you will never forget.

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On the Road with Bronco Billy


Spring is on us now, and that brings on thoughts of ROAD TRIP. Sure, it is still a bit early, but you can still start making plans for your next road trip with help of “On the Road with Bronco Billy”. Sit back and go on a ten day trucking trip in a big rig, through western North America, from Alberta to Texas, and back again. Explore the countryside, learn some trucking lingo, and observe the shifting cultural norms across this great continent. Then, come spring, try it out for yourself.



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