Comparison of Public Health Containment Measures of COVID-19 in China and India

Scenario-based assessment of emergency management of urban infectious disease outbreaks

Infectious diseases pose a severe threat to human health and are accompanied by significant economic losses. Studies of urban outbreaks of infectious diseases are diverse. However, previous studies have neglected the identification of critical events and the evaluation of scenario-based modeling of urban infectious disease outbreak emergency management mechanisms. In this paper, we aim to conduct an empirical analysis and scenario extrapolation using a questionnaire survey of 18 experts, based on the CIA-ISM method and scenario theory, to identify the key factors influencing urban infectious disease outbreaks. Subsequently, we evaluate the effectiveness of urban infectious disease outbreak emergency management mechanisms. Finally, we compare and verify the actual situation of COVID-19 in China, drawing the following conclusions and recommendations. (1) The scenario-based urban infectious disease emergency management model can effectively replicate the development of urban infectious diseases. (2) The establishment of an emergency command center and the isolation and observation of individuals exposed to infectious diseases are crucial factors in the emergency management of urban outbreaks of infectious disease.

Mediating effects of social support and presenteeism on turnover intention and post-traumatic stress disorder among Chinese nurses in the post-pandemic era: a cross-sectional study

Background

The shift in national policies for epidemic prevention and control in the post-pandemic era is undoubtedly a challenge for health care professionals. Nurses, as an important part of the health care professional population, have an even greater impact on their mental health and occupational safety. This may expose nurses to post-traumatic stress disorder (PTSD) and presenteeism, and ultimately lead to their turnover.

Objective

This study aimed to investigate the relationship between turnover intention and post-traumatic stress disorder among Chinese nurses during post-pandemic era, and the mediating role of social support and presenteeism.

Methods

In this study, a multicentre cross-sectional survey was conducted in April 2023 among nursing staff in several tertiary general hospitals in northern China, with online data collection using the Turnover intention Scale (PTSD), the Impact of Events Scale (IES), the Social Support Scale (SSS), and the Stanford presenteeism Scale (STAS) and the relationship between variables was analyzed using hierarchical multivariate regression, and Structural Equation Modeling (SEM) was used to analyze the relationship between post-traumatic stress disorder and the Turnover intention from the pathway between.

Results

Data were collected from 2,513 nurses who met the inclusion criteria, in which general information such as age, department, specific department, Professional title, history of alcohol consumption, form of employment, Years of working, and Average working hours per day were statistically significant with the difference in the turnover intention. The results of the study showed a 32% high turnover intention among nurses in the post-pandemic era, which was lower than the turnover intention during the pandemic. The results of hierarchical multiple regression analysis showed that post-traumatic stress disorder, social support, and presenteeism were significant predictors of turnover intention. The total effect of post-traumatic stress disorder on turnover intention to work was 0.472 [bias modified 95% confidence interval (0.415-0.483), p < 0.001]. Social support and attendance played a partially intermediate role in post-traumatic stress disorder and propensity to leave (an indirect effect of 26% of the total effect).

Conclusion

Turnover intention and post-traumatic stress disorder levels are high and social support plays an important role in the tendency to leave the job and post-traumatic stress disorder, healthcare institution can be achieved by strengthening social support for nurses in the post-epidemic era and preventing the occurrence of presenteeism.

Dynamic variations in and prediction of COVID-19 with omicron in the four first-tier cities of mainland China, Hong Kong, and Singapore

Background

The COVID-19 pandemic, which began in late 2019, has resulted in the devastating collapse of the social economy and more than 10 million deaths worldwide. A recent study suggests that the pattern of COVID-19 cases will resemble a mini-wave rather than a seasonal surge. In general, COVID-19 has more severe impacts on cities than on rural areas, especially in cities with high population density.

Methods

In this study, the background situation of COVID-19 transmission is discussed, including the population number and population density. Moreover, a widely used time series autoregressive integrated moving average (ARIMA) model is applied to simulate and forecast the COVID-19 variations in the six cities. We comprehensively analyze the dynamic variations in COVID-19 in the four first-tier cities of mainland China (BJ: Beijing, SH: Shanghai, GZ: Guangzhou and SZ: Shenzhen), Hong Kong (HK), China and Singapore (SG) from 2020 to 2022.

Results

The major results show that the six cities have their own temporal characteristics, which are determined by the different control and prevention measures. The four first-tier cities of mainland China (i.e., BJ, SH, GZ, and SZ) have similar variations with one wave because of their identical "Dynamic COVID-19 Zero" strategy and strict Non-Pharmaceutical Interventions (NPIs). HK and SG have multiple waves primarily caused by the input cases. The ARIMA model has the ability to provide an accurate forecast of the COVID-19 pandemic trend for the six cities, which could provide a useful approach for predicting the short-term variations in infectious diseases.Accurate forecasting has significant value for implementing reasonable control and prevention measures.

Conclusions

Our main conclusions show that control and prevention measures should be dynamically adjusted and organically integrated for the COVID-19 pandemic. Moreover, the mathematical models are proven again to provide an important scientific basis for disease control.

Evaluating Community Capability to Prevent and Control COVID-19 Pandemic in Shenyang, China: An Empirical Study Based on a Modified Framework of Community Readiness Model

Community plays a crucial role in the successful prevention and control of the COVID-19 pandemic in China. However, evaluation of community capability to fight against COVID-19 is rarely reported. The present study provides a first attempt to assess community capability to combat COVID-19 in Shenyang, the capital city of Liaoning province in Northeast China, based on a modified framework of a community readiness model. We conducted semi-structured interviews with ninety key informants from fifteen randomly selected urban communities to collect the data. The empirical results indicate that the overall level of community capability for epidemic prevention and control in Shenyang was at the stage of preparation. The specific levels of the fifteen communities ranged from the stages of preplanning to preparation to initiation. Concerning the level of each dimension, community knowledge about the issue, leadership, and community attachment exhibited significant disparities between communities, while there were slight differences among communities on community efforts, community knowledge of efforts, and community resources. In addition, leadership demonstrated the highest overall level among all the six dimensions, followed by community attachment and community knowledge of efforts. Community resources displayed the lowest level, followed by community efforts. This study not only extends the application of the modified community readiness model to evaluate community capability of epidemic prevention in the Chinese community context, but also offers practical implications for enhancing Chinese communities' capabilities to deal with various future public health emergencies.

The Advantages of the Zero-COVID-19 Strategy

Introduction: To curb the COVID-19 pandemic, countries across the globe have adopted either a mitigation or anelimination policy, such as the zero-COVID-19 strategy. However, further research is needed to systematically investigate the advantages of the zero-COVID-19 strategy in the literature. To bridge the research gap, this study examines the zero-COVID-19 strategy in terms of its advantages as a global anti-pandemic framework. Methods: A literature review was conducted in PubMed, PsycINFO, and Scopus to locate academic articles that discussed the advantages of the zero-COVID-19 strategy. Braun and Clarke’s thematic analysis approach was adopted to guide the data analysis process. Results: The findings of our study show that the advantages of the zero-COVID-19 strategy range from short-term (e.g., limited virus infections, hospitalizations, and deaths), to medium-term (e.g., reduced presence of other infectious diseases), and long-term (e.g., low incidence of long COVID-19). While local residents mainly leverage these advantages, they also impact the global community (e.g., stable global supply of essentials, such as COVID-19 vaccines). Conclusions: COVID-19 is catastrophic, yet controllable. Our study examined the advantages of the zero-COVID-19 strategy from a nuanced perspective and discussed how these advantages benefit both the local and the global community in pandemic control and management. Future studies could investigate the shortcomings of the zero-COVID-19 strategy, especially its unintended consequences, such as adverse impacts on vulnerable populations’ mental health, so that society could more efficiently, economically, and empathetically capitalize on the potential of the zero-COVID-19 strategy for the betterment of personal and public health.

Strategies comparison in response to the two waves of COVID-19 in the United States and India

BACKGROUND

This study aimed to compare the prevention and control strategies adopted by the United States and India in the COVID-19 outbreak and analyze the effectiveness of their strategies, in order to provide empirical experience for the prevention and control of the epidemic.

METHODS

This study extracted official data on COVID-19 from various official websites, summarized the policies in place in the United States and India, and evaluated the effectiveness of their policies.

RESULTS

The United States has adopted a series of mitigation strategies to control the two waves of epidemic, including strengthening virus detection, calling on the people to wear masks and so on. As of May 30, 2021, although the daily new cases there decreased to some extent, the effect was not ideal. The US's daily new cases ranked fourth and the cumulative number of confirmed cases ranked first in the world. India has adopted containment strategies in the initial stage of the outbreak, making the epidemic relatively stable. In the later stage, India has turned to adopt mitigation strategies. In addition, many factors including the lack of medical resources and premature relaxation measures led to the rapid deterioration of the epidemic situation. As of May 30, 2021, although the daily new cases in India has a downward trend, it ranked first in the world, and the cumulative number of confirmed cases ranked second.

CONCLUSION

There are differences between the epidemic prevention strategies adopted by the United States and India, especially India's containment strategies which helped it better control the epidemic in the early stage. However, the epidemic in the two countries is still severe. With the advent of virus mutants and the absence of immune barriers, it is meaningful that the two countries continue to take non-pharmacotherapy intervention measures and accelerate vaccination, according to specific national conditions adopt containment strategies that can control the epidemic more quickly when necessary, and pay attention to the risk of epidemic rebound caused by premature relaxation of epidemic prevention policies.