Background Many countries and organizations recommended people living with HIV/AIDS (PLWHA) receive the COVID-19 vaccine. However, vaccine hesitancy still exists and becomes a barrier for promoting COVID-19 vaccination among PLWHA. Objective This study aims to investigate factors that contributed to COVID-19 vaccine hesitancy among PLWHA. Methods The study used a multicenter cross-sectional design and an online survey mode. We recruited PLWHA aged 18-65 years from 5 metropolitan cities in China between January 2021 and February 2021. Participants completed an online survey through Golden Data, a widely used encrypted web-based survey platform. Multiple linear regression models were used to assess the background characteristics in relation to COVID-19 vaccine hesitancy, and structural equation modeling was performed to assess the relationships among perceived benefits, perceived risks, self-efficacy, subjective norms, and COVID-19 vaccine hesitancy. Results Among 1735 participants, 41.61% (722/1735) reported COVID-19 vaccine hesitancy. Older age, no other vaccinations in the past 3 years, and having chronic disease history were positively associated with COVID-19 vaccine hesitancy. Structural equation modeling revealed a direct relationship of perceived benefits, perceived risks, and subjective norms with self-efficacy and vaccine hesitancy and an indirect relationship of perceived benefits, perceived risks, and subjective norms with vaccine hesitancy. Moreover, self-efficacy toward COVID-19 vaccination was low. PLWHA had concerns of HIV disclosure during COVID-19 vaccination. Family member support could have an impact on COVID-19 vaccination decision-making. Conclusions COVID-19 vaccine hesitancy was high among PLWHA in China. To reduce COVID-19 vaccine hesitancy, programs and strategies should be adopted to eliminate the concerns for COVID-19 vaccination, disseminate accurate information on the safety and efficacy of the COVID-19 vaccine, encourage family member support for COVID-19 vaccination, and improve PLWHA’s trust of medical professionals.

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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.

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.

Objective: to analyze the epidemic situation of COVID-19 in northeast China, Liaoning and Jilin. To study the prevalence of COVID-19 virus in areas other than Hubei province. To understand the spread of COVID-19 in Liaoning and Jilin provinces by means of communication network. More in-depth understanding of COVID-19 epidemic, and put forward effective prevention and control recommendations. Methods: We collected the demographic characteristics, exposure history and course of action of patients with laboratory-confirmed infection with COVID-19 published by Liaoning Provincial Health Commission and Jilin Provincial Health Commission as of February 15, 2020. We describe the demographic characteristics, case characteristics, spatial distribution characteristics and related interpersonal network of these patients. To analyze the transmission of COVID-19 in two provinces. Results: By February 15, 2020, the cumulative number of infected people in Liaoning province was 119.The largest number was 27(22.7%) in Shenyang and the smallest in Fushun, with no reported cases of infection. Among them, 55(46.2%) have a history of sojourning in Hubei province. The mainly clinical symptoms of the infected patients were fever, and 67(56.3%) of them developed fever at the time of diagnosis. Cough, sneezing and other respiratory symptoms are less. The cumulative number of infected people in Jilin province was 89, with the highest number in Changchun city at 39(43.8%) and the lowest in Baishan city, with no reported infections. 21(23.6%) people with a history of sojourning in Hubei province. Most of those infected in the two provinces were related to Hubei province, and most of those infected in the second generation or more were infected by close contact with relatives. Conclusion: The COVID-19 outbreaks in Liaoning and Jilin provinces are gradually stabilizing, but have not yet reached the time required to lower the prevention and control level. The fatality rate of the two provinces is relatively low. There is no evidence of super-spreader in either province.