Back

A re-examination of the impact of COVD-19 deaths on the computation of average life expectancy

Rao, A.; Krantz, S. G.; Swanson, D. A.

2022-01-27 public and global health
10.1101/2022.01.20.22269578 medRxiv
Show abstract

It is natural to question the impact of COVID-19 on life expectancy. However, a newborn during the 2020-2021 period need not experience the same level of adult mortality found in 2020-2021 because there may be zero COVID-19 related deaths when the newborn reaches adulthood. Thus, life expectancy lost due to COVID-19 cannot be found simply by incorporating excess deaths due to COVID-19 and re-doing the life table computations because: (1) we know that the COVID-19 deaths need not occur every year for the next 20-25 years; and (2) once an adult, a newborn in 2021/2022 need not experience the same mortality rate that current middle and older aged COVID-19 patients experience. Using U.S. data as an example, we estimate an average of 29.68 years of life was lost to those aged 18-64 who died from COVID-19 in the U.S., noting that 74 % of the reported deaths of 18-64 occurred among 50-64 years and 10 % below 40 years. Instead of computing life expectancy years lost due to COVID-19, we recommend computing life years lost due to COVID-19.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Demographic Research
11 papers in training set
Top 0.1%
35.2%
2
PLOS ONE
5266 papers in training set
Top 14%
13.0%
3
Scientific Reports
3612 papers in training set
Top 31%
3.3%
50% of probability mass above
4
Frontiers in Public Health
148 papers in training set
Top 2%
3.2%
5
Biology Methods and Protocols
61 papers in training set
Top 0.3%
3.2%
6
eLife
5828 papers in training set
Top 40%
2.5%
7
Annals of Internal Medicine
28 papers in training set
Top 0.1%
2.4%
8
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 21%
2.4%
9
Journal of Public Health
24 papers in training set
Top 0.3%
2.2%
10
Statistical Methods in Medical Research
11 papers in training set
Top 0.1%
2.2%
11
Frontiers in Neuroscience
256 papers in training set
Top 3%
1.7%
12
American Journal of Epidemiology
67 papers in training set
Top 0.7%
1.5%
13
Frontiers in Artificial Intelligence
20 papers in training set
Top 0.4%
1.5%
14
Royal Society Open Science
214 papers in training set
Top 4%
1.2%
15
PeerJ
308 papers in training set
Top 8%
1.2%
16
SSM - Population Health
17 papers in training set
Top 0.3%
1.2%
17
Biostatistics
24 papers in training set
Top 0.3%
1.1%
18
Social Science & Medicine
17 papers in training set
Top 0.4%
1.0%
19
Journal of Theoretical Biology
162 papers in training set
Top 2%
1.0%
20
International Journal of Environmental Research and Public Health
128 papers in training set
Top 5%
0.9%
21
Frontiers in Neurology
102 papers in training set
Top 3%
0.9%
22
Experimental Gerontology
12 papers in training set
Top 0.4%
0.6%
23
Applied Sciences
25 papers in training set
Top 1%
0.6%