The whole world is devastated by the impact of the COVID-19 pandemic. The socioeconomic and other effects of COVID-19 on people are visible in all echelons of society. The main goal of countries is to stop the spreading of this pandemic by reducing the COVID-19 related new cases and deaths. In this paper, we analyzed the correlated count outcomes, daily new cases, and fatalities, and assessed the impact of some covariates by adopting a generalized bivariate Poisson model. There are different effects of duration on new cases and deaths in different countries. Also, the regional variation found to be different, and population density has a significant impact on outcomes.

中文翻译：

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使用双变量Poisson回归分析持续时间对COVID-19感染和死亡的每日新病例的影响：边际条件方法

COVID-19大流行的影响毁灭了整个世界。COVID-19对人的社会经济影响和其他影响在社会的所有阶层中均可见。各国的主要目标是通过减少与COVID-19相关的新病例和死亡来阻止这种大流行的蔓延。在本文中，我们分析了相关计数结果，每日新病例和死亡人数，并通过采用广义双变量Poisson模型评估了一些协变量的影响。持续时间对不同国家新病例和死亡的影响不同。而且，发现地区差异是不同的，人口密度对结果有重大影响。