Self-perception and COVID-19 vaccination self-efficacy among Chinese adults: A moderated mediation model of mental health and trust.

BACKGROUND: Optimal Corona Virus Disease 2019 (COVID-19) vaccination coverage is necessary to achieve community protection, and self-efficacy independently predict vaccination behavior. The current study examined the effect of self-perception on COVID-19 vaccination self-efficacy as well as potential mechanisms among Chinese adults. METHODS: A cross-sectional survey was conducted from four cities in China (n = 6781). Models 4 and 8 in Hayes' PROCESS macro were used to test models. RESULTS: Self-perception (ß = 0.128, 95 % CI: 0.093, 0.163) and self-perception ∗ mental health (ß = 0.009, 95 % CI: 0.003, 0.014) were positively associated with trust in doctors and vaccine developers, while mental health was negatively related to trust in doctors and vaccine developers (ß = -0.483, 95 % CI: -0.629, -0.337). Self-perception (ß = 0.149, 95 % CI: 0.138, 0.161), trust in doctors and vaccine developers (ß = 0.185, 95 % CI: 0.177, 0.194) and self-perception ∗ mental health (ß = 0.003, 95 % CI: 0.002, 0.005) were positively associated with COVID-19 vaccination self-efficacy. Mental health was negatively related to COVID-19 vaccination self-efficacy (ß = -0.101, 95 % CI: -0.151, -0.051). LIMITATIONS: This cross-sectional study collected data through online questionnaires. CONCLUSIONS: Our results demonstrated that the relationship between self-perception and COVID-19 vaccination self-efficacy was partially mediated by trust in doctors and vaccine developers. Both the correlation between self-perception and COVID-19 vaccination self-efficacy, and the relationship between self-perception and trust in doctors and vaccine developers were moderated by mental health. Findings confirm that increasing COVID-19 vaccination self-efficacy would be facilitated by improvements in self-perception, mental health, and trust in doctors and vaccine developers.

Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2.

BACKGROUND: The pneumonia caused by the 2019 novel coronavirus (SARS-CoV-2, also called 2019-nCoV) recently break out in Wuhan, China, and was named as COVID-19. With the spread of the disease, similar cases have also been confirmed in other regions of China. We aimed to report the imaging and clinical characteristics of these patients infected with SARS-CoV-2 in Guangzhou, China. METHODS: All patients with laboratory-identified SARS-CoV-2 infection by real-time polymerase chain reaction (PCR) were collected between January 23, 2020, and February 4, 2020, in a designated hospital (Guangzhou Eighth People's Hospital). This analysis included 90 patients (39 men and 51 women; median age, 50 years (age range, 18-86 years). All the included SARS-CoV-2-infected patients underwent non-contrast enhanced chest computed tomography (CT). We analyzed the clinical characteristics of the patients, as well as the distribution characteristics, pattern, morphology, and accompanying manifestations of lung lesions. In addition, after 1-6 days (mean 3.5 days), follow-up chest CT images were evaluated to assess radiological evolution. FINDINGS: The majority of infected patients had a history of exposure in Wuhan or to infected patients and mostly presented with fever and cough. More than half of the patients presented bilateral, multifocal lung lesions, with peripheral distribution, and 53 (59%) patients had more than two lobes involved. Of all included patients, COVID-19 pneumonia presented with ground glass opacities in 65 (72%), consolidation in 12 (13%), crazy paving pattern in 11 (12%), interlobular thickening in 33 (37%), adjacent pleura thickening in 50 (56%), and linear opacities combined in 55 (61%). Pleural effusion, pericardial effusion, and lymphadenopathy were uncommon findings. In addition, baseline chest CT did not show any abnormalities in 21 patients (23%), but 3 patients presented bilateral ground glass opacities on the second CT after 3-4 days. CONCLUSION: SARS-CoV-2 infection can be confirmed based on the patient's history, clinical manifestations, imaging characteristics, and laboratory tests. Chest CT examination plays an important role in the initial diagnosis of the novel coronavirus pneumonia. Multiple patchy ground glass opacities in bilateral multiple lobular with periphery distribution are typical chest CT imaging features of the COVID-19 pneumonia.