College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng 475004, China.
Int J Environ Res Public Health. 2021 Sep 5;18(17):9375. doi: 10.3390/ijerph18179375.
The spread of COVID-19 is having a serious impact on socioeconomic development, and increased environmental risk perception (ERP). ERP provide new ideas for the orderly recovery of society. However, there have been studies that often pay attention to individual factors, and less concerned about the external environment. In fact, ERP will be affected by the external environment and individual factors. We used a Python script to collect 65,277 valid Weibo comments during the COVID-19 epidemic in China to assess urban residents' environmental risk perception (ERP). SnowNLP emotion analysis was used to measure the ERP of 366 urban in China, and the structural proportion characteristics and spatial-temporal differentiation of ERP were analyzed. Then, an order logistic regression model was used to investigate the relationship between economic level, social security, medical facilities and ERP. The study investigated the Chinese cities have a higher ERP during the COVID-19 period, and it shows marked fluctuations. As COVID-19 spreads, the ERP shows a distribution pattern of "high in the southeast and low in the northwest" with Hu line as the boundary and "from high to low" with Wuhan as the high value center. COVID-19 serves as catalysts for ERP, the impact of COVID-19 is enhanced after socioeconomic factors are considered. The economic level effectively regulates ERP, except the stage of accelerating diffusion. ERP is effectively stabilized by social security and medical facilities. After considering all the variables simultaneously, we found that the mitigation effect of social security and medical facilities on ERP has improved.
新冠疫情的传播对社会经济发展造成了严重影响，同时也增加了人们对环境风险的感知（ERP）。ERP 为社会的有序恢复提供了新的思路。然而，已有研究往往关注个体因素，而较少关注外部环境。事实上，ERP 会受到外部环境和个体因素的影响。我们使用 Python 脚本收集了中国新冠疫情期间的 65277 条有效微博评论，以评估城市居民的环境风险感知（ERP）。我们使用 SnowNLP 情感分析来衡量中国 366 个城市的 ERP，并分析了 ERP 的结构比例特征和时空分异。然后，我们使用有序逻辑回归模型来研究经济水平、社会保障、医疗设施与 ERP 之间的关系。研究结果表明，在新冠疫情期间，中国城市的 ERP 较高，且波动明显。随着新冠疫情的传播，ERP 呈现出“东南高、西北低”的分布格局，以胡焕庸线为界，“由高到低”，以武汉为高值中心。新冠疫情成为 ERP 的催化剂，在考虑社会经济因素后，新冠疫情的影响加剧。经济水平对 ERP 具有有效调节作用，除了扩散加速阶段。社会保障和医疗设施可有效稳定 ERP。在同时考虑所有变量后，我们发现社会保障和医疗设施对 ERP 的缓解作用有所提高。
