This article focuses on a statistical analysis of the corona virus disease 2019 (COVID-19) data that appeared until November 31, 2020 in Poland. The studied database, expressed in terms of both population and air pollution (particulate) indicators, is provided mainly by the Airly company, the Central Statistical Office (GUS) and the Rogalski project. The particular measured factors, which underwent standardization, were assessed for mutual dependency by means of a Pearson correlation coefficient and analysed by a linear regression. Based on the presented models, our results indicate that air quality (air pollution level) is the most important factor in the context of enabling COVID-19 case load increase in Poland.

本文重点对 2020 年 11 月 31 日之前在波兰出现的 2019 年冠状病毒病 (COVID-19) 数据进行统计分析。所研究的数据库以人口和空气污染（颗粒）指标表示，主要由 Airly 公司、中央统计局 (GUS) 和 Rogalski 项目提供。经过标准化的特定测量因素通过皮尔逊相关系数评估相互依赖性，并通过线性回归进行分析。根据提出的模型，我们的结果表明，空气质量（空气污染水平）是波兰 COVID-19 病例增加的最重要因素。