Coronavirus Age, Intercourse, Demographics (COVID-19)
Final up to date: Could 13, 18:00 GMT
Present Statistics
Age of Coronavirus Deaths
We’re accumulating and analyzing the information from all US States. Within the meantime, beneath we present the information offered by New York Metropolis Well being as of Could 13, 2020:
|
0 – 17 years previous |
9 |
0.06% |
6 |
3 |
0 |
0.02% |
|
18 – 44 years previous |
601 |
3.9% |
476 |
17 |
108 |
0.8% |
|
45 – 64 years previous |
3,413 |
22.4% |
2,851 |
72 |
490 |
3.7% |
|
65 – 74 years previous |
3,788 |
24.9% |
2,801 |
5 |
982 |
6.5% |
|
75+ years previous |
7,419 |
48.7% |
5,236 |
2 |
2,181 |
14.3% |
|
TOTAL |
15,230 |
100% |
11,370 (75%) |
99 (0.7%) |
1,551 (24.7%) |
25.3% |
April 14 Knowledge
For comparability, beneath is the information offered by New York Metropolis Well being as of April 14. It may be famous that absolutely the variety of deaths of sufferers with out underlying circumstances was really increased on this earlier report in comparison with the Could 13 one, signaling the information has been since corrected and revised downward.
|
0 – 17 years previous |
3 |
0.04% |
3 |
0 |
0 |
0% |
|
18 – 44 years previous |
309 |
4.5% |
244 |
25 |
40 |
1.0% |
|
45 – 64 years previous |
1,581 |
23.1% |
1,343 |
59 |
179 |
3.5% |
|
65 – 74 years previous |
1,683 |
24.6% |
1,272 |
26 |
385 |
6.0% |
|
75+ years previous |
3,263 |
47.7% |
2,289 |
27 |
947 |
14.2% |
|
TOTAL |
6,839 |
100% |
5,151 |
137 (2.0%) |
1,551 |
24.68% |
[1] Underlying diseases embody Diabetes, Lung Illness, Most cancers, Immunodeficiency, Coronary heart Illness, Hypertension, Bronchial asthma, Kidney Illness, and GI/Liver Illness. [source]
Intercourse ratio
Knowledge offered by New York Metropolis Well being as of April 14, for recognized intercourse of deceased:
|
Male |
4,095 |
61,8% |
3,087 |
62,2% |
96 |
72.2% |
912 |
59.5% |
|
Feminine |
2,530 |
38.2% |
1.873 |
37.8% |
37 |
27.8% |
620 |
40.5% |
Older Statistics
Knowledge from preliminary research in China
On the finish of February, there have been two sources that offered age, intercourse, and comorbidity statistics:
- The Report of the WHO-China Joint Mission printed on Feb. 28 by WHO, [2] which relies on 55,924 laboratory confirmed instances. The report notes that “The Joint Mission acknowledges the recognized challenges and biases of reporting crude CFR early in an epidemic” (see additionally our dialogue on: The way to calculate the mortality price throughout an outbreak)
- A paper by the Chinese language CCDC launched on Feb. 17, which relies on 72,314 confirmed, suspected, and asymptomatic instances of COVID-19 in China as of Feb. 11, and was printed within the Chinese language Journal of Epidemiology [1]
We’ll checklist information from each, labeling them as “confirmed instances” and “all instances” respectively within the tables.
Age of Coronavirus Deaths
COVID-19 Fatality Price by AGE:
*Demise Rate = (variety of deaths / variety of instances) = likelihood of dying if contaminated by the virus (%). This likelihood differs relying on the age group. The odds proven beneath shouldn’t have so as to add as much as 100%, as they do NOT symbolize share of deaths by age group. Slightly, it represents, for an individual in a given age group, the threat of dying if contaminated with COVID-19.
|
AGE |
DEATH RATE confirmed instances |
DEATH RATE all instances |
|
80+ years previous |
21.9% |
14.8% |
|
70-79 years previous |
8.0% |
|
|
60-69 years previous |
3.6% |
|
|
50-59 years previous |
1.3% |
|
|
40-49 years previous |
0.4% |
|
|
30-39 years previous |
0.2% |
|
|
20-29 years previous |
0.2% |
|
|
10-19 years previous |
0.2% |
|
| 0-9 years previous |
no fatalities |
*Demise Rate = (variety of deaths / variety of instances) = likelihood of dying if contaminated by the virus (%). The odds shouldn’t have so as to add as much as 100%, as they do NOT symbolize share of deaths by age group.
Generally, comparatively few instances are seen amongst youngsters.
Intercourse ratio
COVID-19 Fatality Price by SEX:
*Demise Price = (variety of deaths / variety of instances) = likelihood of dying if contaminated by the virus (%). This likelihood differs relying on intercourse. When studying these numbers, it have to be taken under consideration that smoking in China is far more prevalent amongst males. Smoking will increase the dangers of respiratory problems.
|
SEX |
DEATH RATE confirmed instances |
DEATH RATE all instances |
|
Male |
4.7% |
2.8% |
|
Feminine |
2.8% |
1.7% |
*Demise Rate = (variety of deaths / variety of instances) = likelihood of dying if contaminated by the virus (%). The odds shouldn’t have so as to add as much as 100%, as they do NOT symbolize share of deaths by intercourse.
Pre-existing medical circumstances (comorbidities)
Sufferers who reported no pre-existing (“comorbid”) medical circumstances had a case fatality price of 0.9%. Pre-existing diseases that put sufferers at increased threat of dying from a COVID-19 an infection are:
COVID-19 Fatality Price by COMORBIDITY:
*Demise Rate = (variety of deaths / variety of instances) = likelihood of dying if contaminated by the virus (%). This likelihood differs relying on pre-existing situation. The proportion proven beneath does NOT symbolize in any method the share of deaths by pre-existing situation. Slightly, it represents, for a affected person with a given pre-existing situation, the threat of dying if contaminated by COVID-19.
|
PRE-EXISTING CONDITION |
DEATH RATE confirmed instances |
DEATH RATE all instances |
|
Heart problems |
13.2% |
10.5% |
|
Diabetes |
9.2% |
7.3% |
|
Continual respiratory illness |
8.0% |
6.3% |
|
Hypertension |
8.4% |
6.0% |
|
Most cancers |
7.6% |
5.6% |
|
no pre-existing circumstances |
0.9% |
*Demise Price = (variety of deaths / variety of instances) = likelihood of dying if contaminated by the virus (%). The odds shouldn’t have so as to add as much as 100%, as they do NOT symbolize share of deaths by situation.