Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The COVID-19 pandemic: socioeconomic and health disparities   Disadvantaged groups around the world have suffered and endured higher
mortality during the current COVID-19 pandemic. This contrast disparity
suggests that socioeconomic and health-related factors may drive inequality in
disease outcome. To identify these factors correlated with COVID-19 outcome,
country aggregate data provided by the Lancet COVID-19 Commission subjected to
correlation analysis. Socioeconomic and health-related variables were used to
predict mortality in the top 5 most affected countries using ridge regression
and extreme gradient boosting (XGBoost) models. Our data reveal that predictors
related to demographics and social disadvantage correlate with COVID-19
mortality per million and that XGBoost performed better than ridge regression.
Taken together, our findings suggest that the health consequence of the current
pandemic is not just confined to indiscriminate impact of a viral infection but
that these preventable effects are amplified based on pre-existing health and
socioeconomic inequalities.

31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys