论文标题
COVID-19大流行：社会经济和健康差异
The COVID-19 pandemic: socioeconomic and health disparities
论文作者
论文摘要
在当前的199年大流行期间，世界各地处于弱势群体遭受了较高的死亡率。这种对比差异表明，社会经济和与健康相关的因素可能会导致疾病结局的不平等。为了确定这些因素与COVID-19的结果相关，柳叶刀Covid-19委员会提供的国家汇总数据受到了相关分析。使用山脊回归和极端梯度提升（XGBoost）模型，使用社会经济和与健康相关的变量来预测最受影响最大的国家的死亡率。我们的数据表明，与人口统计和社会劣势有关的预测因素与百万分之十的死亡率相关，并且XGBoost的性能比Ridge回归更好。综上所述，我们的发现表明，当前大流行的健康后果不仅限于病毒感染的不加区分地区的影响，而且基于先前存在的健康和社会经济不平等，这些可预防的影响会放大。
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.
