Guliyev Hasraddin
Department of Economics and Business Administration; Scientific-Research Institute of Economic Studies, Azerbaijan State Economic University, Baku, Azerbaijan.
Spat Stat. 2020 Aug;38:100443. doi: 10.1016/j.spasta.2020.100443. Epub 2020 Apr 7.
This study investigates the propagation power and effects of the coronavirus disease 2019 (COVID-19) in light of published data. We examine the factors affecting COVID-19 together with the spatial effects, and use spatial panel data models to determine the relationship among the variables including their spatial effects. Using spatial panel models, we analyse the relationship between confirmed cases of COVID-19, deaths thereof, and recovered cases due to treatment. We accordingly determine and include the spatial effects in this examination after establishing the appropriate model for COVID-19. The most efficient and consistent model is interpreted with direct and indirect spatial effects.
本研究根据已发表的数据，调查2019年冠状病毒病（COVID-19）的传播力和影响。我们研究了影响COVID-19的因素及其空间效应，并使用空间面板数据模型来确定变量之间的关系，包括它们的空间效应。利用空间面板模型，我们分析了COVID-19确诊病例、死亡病例和治愈病例之间的关系。在为COVID-19建立合适的模型后，我们在本次研究中确定并纳入了空间效应。最有效和一致的模型通过直接和间接空间效应进行解释。
