State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Sha Tin, New Territories, Hong Kong; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China.
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China.
Health Place. 2023 Sep;83:103096. doi: 10.1016/j.healthplace.2023.103096. Epub 2023 Aug 14.
The coronavirus disease 2019 (COVID-19) pandemic significantly impacts people's sentiment and mental health, threatening their health and lives. We gathered 4.17 million geotagged social media posts from Weibo and scrutinized the nuances of the collective sentiments of netizens in four megacities in China during the first pandemic wave (from 1 December 2019 to 30 April 2020). Our findings suggest that the COVID-19 outbreak significantly reduced the Sentiment Index (SI) in China's cities, and the collective sentiments expressed in Wuhan were even more negative than those in the other three megacities. We explored the uncharted impacts of exposure to three geographical environment factors (GEFs) on SIs. Public exposure to greenspaces increased, while exposure to indoor built spaces decreased during the lockdown period. The exposure to sidewalks increased in rural areas but decreased in the main urban areas. The contributions of various GEFs to the SIs were the lowest during the lockdown period, and SIs were strongly affected by the pandemic. However, greenspace had the most potent effect on SIs, improving public sentiment resilience and mitigating mental health risks.
2019 年冠状病毒病（COVID-19）大流行严重影响了人们的情绪和心理健康，威胁着他们的健康和生命。我们从微博上收集了 417 万条带有地理标签的社交媒体帖子，并仔细研究了中国四个特大城市在第一波大流行期间（2019 年 12 月 1 日至 2020 年 4 月 30 日）网民集体情绪的细微差别。我们的研究结果表明，COVID-19 疫情显著降低了中国城市的情绪指数（SI），武汉的集体情绪甚至比其他三个特大城市更为负面。我们探讨了接触三种地理环境因素（GEF）对 SI 的未知影响。在封锁期间，人们更多地接触到绿地，而对室内建筑空间的接触则减少了。农村地区的人行道接触增加，但主要城市地区的人行道接触减少。在封锁期间，各种 GEF 对 SI 的贡献最低，SI 强烈受到大流行的影响。然而，绿地对 SI 的影响最大，提高了公众情绪的弹性，减轻了心理健康风险。
