Back

Covid-19 and Population Age Structure

Haridas, A.; Pratap, G.

2020-06-03 infectious diseases
10.1101/2020.05.31.20118349 medRxiv
Show abstract

Epidemiological studies suggest that age distribution of a population has a non-trivial effect on how morbidity rates, mortality rates and case fatality rates (CFR) vary when there is an epidemic or pandemic. We look at the empirical evidence from a large cohort of countries to see the sensitivity of Covid-19 data to their respective median ages. The insights that emerge could be used to control for age structure effects while investigating other factors like cross-protection, comorbidities, etc.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

1
Demographic Research
● 11 papers in training set
Top 0.1%
69.9%
50% of probability mass above
2
Journal of The Royal Society Interface
● 235 papers in training set
Top 0.8%
4.8%
3
eLife
● 5828 papers in training set
Top 29%
4.0%
4
PLOS ONE
● 5266 papers in training set
Top 40%
2.8%
5
Nature Communications
○ 5641 papers in training set
Top 38%
2.6%
6
PLOS Computational Biology
● 1863 papers in training set
Top 13%
2.1%
7
Scientific Reports
○ 3612 papers in training set
Top 56%
1.7%
8
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 37%
1.1%
9
Royal Society Open Science
● 214 papers in training set
Top 6%
0.8%
10
Nature
○ 645 papers in training set
Top 11%
0.6%
11
European Journal of Epidemiology
○ 43 papers in training set
Top 0.9%
0.6%