Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEO.

Background: The COVID-19 has been spreading globally since 2019 and causes serious damage to the whole society. A macro perspective study to explore the changes of some social-related indexes of different countries is meaningful. Methods: We collected nine social-related indexes and the score of COVID-safety-assessment. Data analysis is carried out using three time series models. In particular, a prediction-correction procedure was employed to explore the impact of the pandemic on the indexes of developed and developing countries. Results: It shows that COVID-19 epidemic has an impact on the life of residents in various aspects, specifically in quality of life, purchasing power, and safety. Cluster analysis and bivariate statistical analysis further indicate that indexes affected by the pandemic in developed and developing countries are different. Conclusion: This pandemic has altered the lives of residents in many ways. Our further research shows that the impacts of social-related indexes in developed and developing countries are different, which is bounded up with their epidemic severity and control measures. On the other hand, the climate is crucial for the control of COVID-19. Consequently, exploring the changes of social-related indexes is significative, and it is conducive to provide targeted governance strategies for various countries. Our article will contribute to countries with different levels of development pay more attention to social changes and take timely and effective measures to adjust social changes while trying to control this pandemic.

A survey of mental health status of obstetric nurses during the novel coronavirus pneumonia pandemic.

ABSTRACT: To investigate the mental health status of obstetric nurses and its influencing factors during the novel coronavirus epidemic period, so as to provide theoretical reference for hospital decision-makers and managers.From February 25 to March 20, 2020, we conducted a cross-sectional survey through online questionnaire, and selected obstetric nurses from Jilin and Heilongjiang Provinces as the research objects by convenience sampling.Three hundred eighteen valid questionnaires were collected; the results of Symptom Checklist 90 showed that the scores of "obsessive-compulsive", "depression", "anxiety", "hostility", "phobia", and "psychosis" were higher than the Chinese norm (P < .01). There were 107 people whose total score of Symptom Checklist 90 was more than 160, and 83 people whose number of positive items was more than 43. Logistic regression results showed that married, temporary employment, lack of support and communication from family and relatives, onerous task, and unbearable responsibility were independent risk factors for mental disorder.There is a great psychological burden for obstetric nurses during the epidemic period. Decision makers should focus on necessary psychological intervention for those that are married, temporarily employed, and those lacking family supports including communication. At the same time, managers should distribute tasks reasonably to avoid psychological burdens caused by overwork.

Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China.

ABSTRACT: In this study, corona virus disease 2019 (COVID-19) transmission networks were built to analyze the epidemic situation of COVID-19 in Liaoning and Jilin provinces in early 2020. We explore the characteristics of the spread of COVID-19, and put forward effective recommendations for epidemic prevention and control. We collected demographic characteristics, exposure history, and course of action of COVID-19 cases. We described the demographic and case characteristics of these cases to show the basic characteristics of COVID-19 cases in both provinces. Combined with the spatial analysis of confirmed cases, the distribution law of the number of confirmed cases in different regions was analyzed. We exhibit the relationship among COVID-19 cases with a transmission network. The transmission characteristics of COVID-19 were analyzed through the transmission network. Mainly cases in Liaoning and Jilin provinces were imported cases from other provinces and the vast majority of these cases were related to Hubei province. The number of confirmed cases in different regions was positively correlated with their GDP and population. The main clinical symptoms of the cases were fever. Judge from the transmission network relationship between the 2 provinces, the transmission chain in Liaoning province contains fewer cases than that in Jilin province. The main transmission routes of the local cases in the 2 provinces were the family members, and the infection of the imported cases were mainly occurred in public places. It was estimated that the unidentified asymptomatic infected cases in the 2 provinces account for approximately 7.3% of the total number of infected cases. The length of the transmission chain suggests that the spread of COVID-19 can be effectively controlled with effective prevention measures.