National Disaster Management System: COVID-19 Case in Korea

Depression among schoolchildren and adolescents aged 9-17 years during the outbreak of COVID‑19 in Beijing: a cross-sectional online survey

The COVID-19 outbreak and related confinement have highly impacted psychological health among children and adolescents. This study aimed to explore the potential risk factors for depression among primary and middle school students and provide advices for psychological interventions during the outbreaks. An online cross-sectional survey was conducted among 18 primary and middle school students via quota sampling in Beijing during March 2020. The Center for Epidemiological Studies Depression Scale (CES-D) was used to assess depression. Differences between characteristics and depression were examined by chi-square tests. Multivariate logistic regression was used to reveal the potential risk factors for depression. A total of 7377 participants were included. The proportion of depression was 29.7%. Students in rural areas, with higher school categories, in graduating grades, with poor or excessive sleep duration, and without daily exercise were associated with a higher proportion of depression. Furthermore, students with a higher knowledge performance of COVID-19 showed a lower proportion of depression (odds ratio [OR] = 0.900, 95% confidence intervals [95% CI]: 0.888-0.913). Students who worried about academic performance (OR = 1.919, 95% CI: 1.718-2.144) or COVID-19 infection (OR = 1.450, 95% CI: 1.268-1.658) exhibited a high proportion of depression. The proportion of depression among primary and middle school students was negatively associated with the knowledge score and positively associated with their worry. Our findings suggest that psychological intervention might be more necessary for students with specific characteristics.

COVID-19 Outbreak in Daegu City, Korea and Response to COVID-19: How Have We Dealt and What Are the Lessons?

The first coronavirus disease 2019 (COVID-19) outbreak in Daegu city was overcome by efforts, including; 1) prompt isolation and quarantine action by local government with cooperative help from expert groups and the central government, 2) high-intensity social distancing and active cooperation of citizens, 3) admission of asymptomatic and mild patients in 'residential treatment centers', and 4) use of a telephone scoring system for the allocation of patients, with a mortality rate of 2.5%. A continuous suppression policy with test, tracing, and treatment (3 Ts) was implemented as an active response to the initial outbreaks in Korea. With the introduction of vaccines and therapeutic agents, the COVID-19 crisis had improved. Recently, the omicron variant was responsible for most domestic outbreaks, albeit with a low mortality rate (0.1%). Since the omicron outbreak, a damage mitigation policy has been implemented, focusing on protecting vulnerable groups. In the future, preparation including below are needed; 1) improving the national public health emergency response system, 2) strengthening the crisis response capacity of local governments, 3) cooperation between public healthcare and private healthcare, and 4) establishing a resilient medical response system.

Jeopardized mental health of children and adolescents in coronavirus disease 2019 pandemic

The coronavirus disease 2019 (COVID-19) outbreak became a worldwide pandemic in 2020. Social distancing measures, such as self-quarantine, lockdowns, and school closures, which have proven efficacy in various pandemic situations, remain in use in Korea. These measures prevented viral transmission to some extent; however, adverse effects have also resulted. First, the negative effect of social isolation on mental health is evident. This influences the psychiatric milieu of parents and children directly and indirectly. The most stressful factor among Korean youth was the restriction of outdoor activities. Increasing parenting burden result in increased screen time among youth, and social isolation created depressive mood with symptoms similar to those of attention deficit hyperactivity disorder and anxiety. Second, symptoms of posttraumatic stress disorder (PTSD) and somatization are prevalent among children and adolescents. The sense of threatened health and life during the pandemic, one symptom of PTSD, is a strong risk factor for somatization. Finally, the increased pattern of child abuse in pandemic indicates increased levels of emotional/psychological abuse and nonmedical neglect. Social isolation makes people less aware of these events. Because pediatricians evaluate pediatric patients and their families, they should regularly assess emotional/stress factors, especially when somatization is prominent during the pandemic, and cautiously recommend that families seek advice from mental health professionals when warranted. Primary physicians must understand the characteristics and aspects of child abuse in the COVID-19 pandemic, make efforts to identify signs of child abuse, and deliver accurate information and preventive strategies for child abuse to caregivers, thereby functioning as a professional guardian. To promote the mental health of parents and children during the COVID-19 pandemic, more research and cooperation among health professionals, families, governments, and schools are needed in the future.

Assessment of the difference in depressive symptoms of the Korean adult population before and during the COVID-19 pandemic using a community health survey

BACKGROUND

The aim of this study was to evaluate the rate of depression during the COVID-19 pandemic compared to that during the prepandemic period.

METHODS

Data from participants in the Korean Community Health Survey in 2019 and 2020 aged ≥ 19 years old were analyzed. In total, the data of 223,306 participants from the 2020 group were compared with the data of 217,133 participants from the 2019 group regarding the experience and severity of depression. The experience of depression was surveyed in terms of a history of sadness or despair for ≥2 weeks in the last year. In addition, the PHQ-9 scores were used, and participants with PHQ-9 scores ≥10 were recategorized as having moderate to severe depression. The odds for depression of the 2020 group compared to the 2019 group based on the survey and PHQ-9 scores were calculated using simple or multiple logistic regression with complex sampling with weighted values.

RESULTS

The rate of depression experience was lower in the 2020 group than in the 2019 group. The odds of experiencing depression were lower in the 2020 group than in the 2019 group (adjusted odds ratio [aOR] = 0.95, 95% confidence intervals [95% CI] = 0.91-0.98, P = 0.004). The odds of moderate to severe depression were also lower in the 2020 group than in the 2019 group (aOR=0.92, 95% CI=0.88-0.97, P = 0.001).

CONCLUSION

The rate of depression experience was not higher during the COVID-19 pandemic than during the prepandemic period in Korea.

COVID-19 and risk assessment room for public health in four Colombian crossborder territories

Introduction: Public health risk management in Colombia is led by the Instituto Nacional de Salud. In the face of the COVID-19 emergency, response actions centered on the implementation of risk analysis rooms and the strengthening of surveillance at points of entry into the country. Objective: To analyze the implementation and maintenance phases of the COVID-19 risk analysis rooms in four border departments of Colombia. Materials and methods: We conducted a qualitative study of public health risk analysis rooms for COVID-19. We reviewed the documentation and data generated from March to June, 2020, in the departments of Amazonas, Vichada, Guainía, and Putumayo. We did semi-structured interviews with key actors and analyzed the answers using the NVivo plus version 11 application in three cycles: open coding, identification of emerging categories, and modeling by analyzing the identified strengths and weaknesses. Results: We identified the components of the incident command structure and the relationships between the public health areas. Strengths were evidenced in the integration of the areas: the management of information in real time, the border surveillance and the capabilities of rapid response teams, while weaknesses appeared in planning, community surveillance, and risk communication processes. Conclusions: Risk analysis rooms constitute a joint effort at the national and local levels which has promoted the articulated participation of all actors in the analysis of information and the optimization of an organized response during the COVID-19 pandemic.

The Dynamics of Cross-Sector Collaboration in Centralized Disaster Governance: A Network Study of Interorganizational Collaborations during the MERS Epidemic in South Korea

The debate continues as to which governance structure is most appropriate for collaborative disaster response, particularly between centralization and decentralization. This article aims to contribute to this debate by analyzing the structural characteristics of a multisectoral network that emerged and evolved under strong state control during the 2015 outbreak of Middle East respiratory syndrome-coronavirus (MERS) in South Korea. This study particularly focuses on the evolution of intra- and inter-sectoral collaboration ties in the network. The data for the study were collected through a content analysis of government documents and news articles. Using social network analysis, the authors found that the network evolved into a centralized structure around a small number of governmental organizations at the central level, organizing the ties between participating organizations rather hierarchically. The network displayed a preponderance of internal ties both among health and non-health organizations and among public and nonpublic health organizations, but under different influences of structural characteristics. This tendency was intensified during the peak period. Based on these findings, the authors conclude that the centralization of disaster management may not or only marginally be conducive to cross-sector collaboration during public health disasters, calling for a careful design of governance structures for disaster response.

Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing

BACKGROUND

Developing an understanding of the social structure and phenomenon of pandemic information sources worldwide is immensely significant.

OBJECTIVE

Based on the quadruple helix model, the aim of this study was to construct and analyze the structure and content of the internet information sources regarding the COVID-19 pandemic, considering time and space. The broader goal was to determine the status and limitations of web information transmission and online communication structure during public health emergencies.

METHODS

By sorting the second top-level domain, we divided the structure of network information sources into four levels: government, educational organizations, companies, and nonprofit organizations. We analyzed the structure of information sources and the evolution of information content at each stage using quadruple helix and network analysis methods.

RESULTS

The results of the structural analysis indicated that the online sources of information in Asia were more diverse than those in other regions in February 2020. As the pandemic spread in April, the information sources in non-Asian regions began to diversify, and the information source structure diversified further in July. With the spread of the pandemic, for an increasing number of countries, not only the government authorities of high concern but also commercial and educational organizations began to produce and provide significant amounts of information and advice. Nonprofit organizations also produced information, but to a lesser extent. The impact of the virus spread from the initial public level of the government to many levels within society. After April, the government's role in the COVID-19 network information was central. The results of the content analysis showed that there was an increased focus on discussion regarding public health-related campaign materials at all stages. The information content changed with the changing stages. In the early stages, the basic situation regarding the virus and its impact on health attracted most of the attention. Later, the content was more focused on prevention. The business and policy environment also changed from the beginning of the pandemic, and the social changes caused by the pandemic became a popular discussion topic.

CONCLUSIONS

For public health emergencies, some online and offline information sources may not be sufficient. Diversified institutions must pay attention to public health emergencies and actively respond to multihelical information sources. In terms of published messages, the educational sector plays an important role in public health events. However, educational institutions release less information than governments and businesses. This study proposes that the quadruple helix not only has research significance in the field of scientific cooperation but could also be used to perform effective research regarding web information during crises. This is significant for further development of the quadruple helix model in the medical internet research area.

Humanitarian Rescue Scheme Selection under the Covid-19 Crisis in China: Based on Group Decision-Making Method

Humanitarian rescue has become an important part of government emergency management in China. In order to select the optimal humanitarian rescue scheme accurately and in a timely manner in an emergency, reduce the harm of disasters to human life and health, and improve the government’s emergency management ability, a multi-attribute emergency group decision-making method is proposed. First, interval-valued intuitionistic fuzzy sets are used to express the preferences of decision-makers, and interval-valued intuitionistic fuzzy entropy is used to calculate attribute weights. Then, based on the technique for order preference by similarity to an ideal solution (TOPSIS) method, the weight of the decision-maker is calculated. Then, the relevant interval intuitionistic fuzzy operators are used to summarize the preferences of decision-makers in group decision-making. Finally, we will use the closeness ranking method to choose the optimal scheme, and the feasibility and practicability of the proposed method are demonstrated by an example. The example shows that the model is more scientific, objective, and comprehensive in solving the problem of multi-attribute group decision-making than the traditional scheme selection, which only depends on the subjective discussion of decision-makers.