Showing posts with label @davidlim. Show all posts
Showing posts with label @davidlim. Show all posts

Sunday, April 5, 2020

OVID-19 Cases and Deaths: Age, Sex, Existing Conditions #coronavirusfacts, #covid19update, #coronavirusus,


OVID-19 Cases and Deaths:  Age, Sex, Existing Conditions


The Report of the WHO-China Joint Mission published on Feb. 28 by WHO, [2] which is based on 55,924 laboratory confirmed cases. The report notes that "The Joint Mission acknowledges the known challenges and biases of reporting crude CFR early in an epidemic" (see also our discussion on: How to calculate the mortality rate during an outbreak)
A paper by the Chinese CCDC released on Feb. 17, which is based on 72,314 confirmed, suspected, and asymptomatic cases of COVID-19 in China as of Feb. 11, and was published in the Chinese Journal of Epidemiology [1]
We will list data from both, labeling them as "confirmed cases" and "all cases" respectively in the tables.

Age of Coronavirus Deaths
COVID-19 Fatality Rate by AGE:
*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). This probability differs depending on the age group. The percentages shown below do not have to add up to 100%, as they do NOT represent share of deaths by age group. Rather, it represents, for a person in a given age group, the risk of dying if infected with COVID-19.

AGE
DEATH RATE
confirmed cases
DEATH RATE
all cases
80+ years old
21.9%
14.8%
70-79 years old
8.0%
60-69 years old
3.6%
50-59 years old
1.3%
40-49 years old
0.4%
30-39 years old
0.2%
20-29 years old
0.2%
10-19 years old
0.2%
0-9 years old
no fatalities
*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). The percentages do not have to add up to 100%, as they do NOT represent share of deaths by age group.

In general, relatively few cases are seen among children.

Sex Ratio
COVID-19 Fatality Rate by SEX:
*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). This probability differs depending on sex. When reading these numbers, it must be taken into account that smoking in China is much more prevalent among males. Smoking increases the risks of respiratory complications.


SEX
DEATH RATE
confirmed cases
DEATH RATE
all cases
Male
4.7%
2.8%
Female
2.8%
1.7%
*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). The percentages do not have to add up to 100%, as they do NOT represent share of deaths by sex.
Pre-existing medical conditions (comorbidities)Patients who reported no pre-existing ("comorbid") medical conditions had a case fatality rate of 0.9%. Pre-existing illnesses that put patients at higher risk of dying from a COVID-19 infection are:
COVID-19 Fatality Rate by COMORBIDITY:*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). This probability differs depending on pre-existing condition. The percentage shown below does NOT represent in any way the share of deaths by pre-existing condition. Rather, it represents, for a patient with a given pre-existing condition, the risk of dying if infected by COVID-19.
PRE-EXISTING CONDITION
DEATH RATE
confirmed cases
DEATH RATE
all cases
Cardiovascular disease
13.2%
10.5%
Diabetes
9.2%
7.3%
Chronic respiratory disease
8.0%
6.3%
Hypertension
8.4%
6.0%
Cancer
7.6%
5.6%
no pre-existing conditions
0.9%
*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). The percentages do not have to add up to 100%, as they do NOT represent share of deaths by condition.Sources

Thursday, April 2, 2020

Coronavirus Update: 2nd, April, 2020. #covid19nz, #lockdownnz, #coronavirus; #iPhonerepair, #0800429429, #davidlimnz, @davidlim

Coronavirus Update: 2nd, April, 2020. 
Source: WHO, CDC, ECDC, NHC,, JHU CSSE, DXY








Location
Confirmed
Cases/million
Recovered
Deaths


Worldwide
937,567
133.06
194,311
47,256


New Zealand
723
161.31
92
1


United States
216,362
661.48
8,878
5,133


Italy
110,574
1,750.55
16,847
13,155


Spain
104,118
2,101.26
22,647
9,387


China
81,589
59.41
76,408
3,318


Germany
78,027
949.96
11,722
931


France
56,325
833.63
7,882
4,025


Iran
47,593
587.62
15,473
3,036


UK
29,474
454.19
0
2,352


Switzerland
17,785
2,621.22
4,013
488


Turkey
15,679
187.31
333
277


Belgium
13,964
1,354.78
2,132
828


Netherlands
13,614
836.03
0
1,173


Austria
10,711
1,366.90
1,436
146


South Korea
9,976
195.46
5,828
169


Canada
9,731
281.63
1,541
111


Portugal
8,251
772.8
43
187


Brazil
6,836
33.16
127
240


Israel
6,211
544.67
241
31


Australia
5,108
223.16
422
24


Sweden
5,084
505.78
103
259


Norway
4,900
919.52
0
45


Czechia
3,589
337
61
39


Russia
3,548
24.78
235
30


Ireland
3,447
659.94
5
85


Malaysia
3,116
93.77
767
50


Denmark
3,107
559.92
894
104


Chile
3,031
173.41
234
16


Ecuador
2,748
165.99
58
93


Philippines
2,633
25.26
51
107


Poland
2,554
68.7
35
43


Romania
2,460
114.6
252
92


Japan
2,384
18.8
472
57


Luxembourg
2,319
2,896.63
80
29


Pakistan
2,291
11.4
107
31


India
1,964
1.55
150
50




@davidlim




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