ABSTRACT
With climate change, urban resilience is becoming a critical concept for helping cities withstand disasters and accidents. However, current research often focuses on concept identification, leaving a gap between concept and implementation. This study aims to investigate the lack of urban resilience in the face of sudden weather disasters, with a focus on the inadequate capacity of urban systems to effectively govern such events. The Zhengzhou subway flooding accident on 20 July 2021, serves as a case study for this research, and the accident causation theories, such as the Swiss cheese model, Surry's accident model, and trajectory intersection theory are used to conduct a comprehensive analysis of the accident's causes. Through this analysis, the paper identifies vulnerabilities in the natural, technical, and man-made systems of the urban system, and reveals deficiencies in four aspects of urban resilience: natural, technological, institutional, and organizational. Based on this analysis, the study proposes a resilient city governance framework that integrates the "Natural-Technical-Man-made” systems, offers relevant recommendations for urban resilience governance, and discusses potential challenges to urban resilience implementation.
ABSTRACT
BACKGROUND: China was the first country in the world to experience a large-scale COVID-19 outbreak. The rapid spread of the disease and enforcement of public health measures has caused distress among vulnerable populations such as pregnant women. With a limited understanding of the novel, emerging infectious disease, pregnant women have sought ways to access timely and trusted health care information. The mental health status of pregnant women during this public health emergency, as well as how they responded to the situation and where and how they obtained antenatal care information, remain to be understood. OBJECTIVE: This study aimed to evaluate the mental health status of pregnant women during the COVID-19 epidemic in China by measuring their perceived stress, anxiety, and depression levels; explore the approaches used by them to access antenatal health care information; and determine their associations with maternal mental health status. METHODS: We conducted a web-based, cross-sectional survey to assess the mental health status of Chinese pregnant women by using the validated, Chinese version of Perceived Stress Scale, Self-Rating Anxiety Scale, and Edinburgh Depression Scale. We also collected information on the various approaches these women used to access antenatal care information during the early stage of the COVID-19 epidemic, from February 5 to 28, 2020. RESULTS: A total of 1873 pregnant women from 22 provinces or regions of China participated in the survey. The prevalence of perceived stress, anxiety, and depression among these participants was 89.1% (1668/1873; 95% CI 87.6%, 90.4%), 18.1% (339/1873; 95% CI 16.4%, 19.9%), and 45.9% (859/1873; 95% CI 43.6%, 48.1%), respectively. Hospitals' official accounts on the Chinese social media platforms WeChat and Weibo were the most popular channels among these pregnant women to obtain antenatal care information during the COVID-19 outbreak. Access to antenatal care information via the hospitals' official social media accounts was found to be associated with a significantly lower risk of perceived stress (adjusted odds ratio [aOR] 0.46, 95% CI 0.30-0.72; P=.001), anxiety (aOR 0.53, 95% CI 0.41-0.68; P<.001), and depression (aOR 0.73, 95% CI 0.59-0.91; P=.005). Access to health care information via hospital hotlines or SMS was found to be significantly associated with a lower risk of anxiety only (OR 0.77, 95% CI 0.60-0.98; P=.04). CONCLUSIONS: During the COVID-19 outbreak in China, pregnant women experienced high levels of perceived stress, anxiety, and depression. During such public health emergencies, mental health care services should be strengthened to reassure and support pregnant women. Specific information targeted at pregnant women, including information on how to cope in an emergency or major disease outbreak, developed and disseminated by health care institutions via social media platforms could be an effective way to mitigate mental health challenges and ensure epidemic preparedness and response in the future.