COVID-19 impacts and adolescent suicide: The mediating roles of child abuse and mental health conditions.

BACKGROUND: Considerable research has established the harmful impacts of the COVID-19 pandemic on children's and adolescents' health and well-being. However, the literature has been constrained by studies using less representative samples, hindering the generalization of the findings. OBJECTIVE: This study aimed to investigate the associations of employment disruption and school closures during the pandemic with suicidal ideation and behavior in children and adolescents-and to consider the potential mediating effects of child psychological and physical abuse and subsequent mental health conditions. PARTICIPANTS AND SETTING: This study used the Adolescent Behaviors and Experiences data (n = 4692) - a nationally representative survey administered by the CDC of the United States from January to June 2021. METHODS: Logistic regression models were conducted to investigate the associations. A series of multiple mediation models were performed. RESULTS: School closures directly reduced child psychological and physical abuse and suicidal ideation and behavior. Employment disruption did not directly predict suicidal ideation and behavior but primarily through child abuse. Mental health's mediation role was significant in the associations between child psychological abuse and suicidal ideation and behavior, but no evidence suggested the same mediating pattern for the physical abuse-suicidal ideation and behavior relationship. Within the covariates, sexual orientation was the most consistent and highest risk factor. CONCLUSIONS: This study contributes to current knowledge on disaster impact, child abuse, and suicidal ideation and behavior, and it can also provide policy and intervention awareness for social workers.

A long-term perspective on the COVID-19: The bike sharing system resilience under the epidemic environment.

Introduction: The sudden COVID-19 pandemic poses a fresh and tough challenge to bike sharing systems (BSS). With this epidemic as a shock event, this paper aspires to shed light on the phenomenon of changing demand and usage regularity in New York City's BSS under the epidemic environment, spanning a period of 18 months. Methods: Technically, BSS's normal performance and the timely responses to the outbreak could be conceptualized as having four different stages. One provides a comparative analysis of bike sharing spatial-temporal mobility patterns and connectivity of the bike sharing usage network, before and during the public health crisis with a macroscopic perspective. Also, a multivariate investigation of user and trip characteristics on BSS is conducted to uncover the difference in the frequency of outdoor and sojourn time between various user communities. Results: Due to the impact of the outbreak, BSS registered severe ridership drops, yet it quickly recovered to the pre-pandemic levels within months. The decline of bike sharing usage was felt throughout all the areas during the outbreak. However, there were places where BSS ridership actually increased, particularly in the areas near supermarkets, parks and hospitals. The less densely connected network of the bike sharing usage has also resulted in a reduction in users' destination heterogeneity. This study also finds evidence of the significant gender, age and cycling pattern gaps in response to potential risk. Conclusions: Investigating the dynamics of bike sharing usage will help to comprehend how the serious pandemic caused by COVID-19 impacts people's daily mobility. Practically, this work hopes to provide insights into adapting this unprecedented pandemic so as to respond to similar events in the future.

From COVID-19 Vaccination Intention to Actual Vaccine Uptake: A Longitudinal Study Among Chinese Adults After Six Months of a National Vaccination Campaign.

BACKGROUND: Mass COVID-19 vaccination campaigns have been launched globally, but the translation from vaccination intention to actual vaccine uptake by the public remains unknown, hindering the evaluation of present promotion strategies. METHODS: Six months after the national vaccination campaign in China, a longitudinal study was conducted among the Chinese adult population, whose vaccination intention has been previously surveyed, to examine the vaccine uptake, the relationship between intention and actual vaccination, and factors associated with actual vaccination behaviors with multiplelogistic models. RESULTS: Among the total 1047 participants, 81.8% (834/936) of those who had a prior COVID-19 vaccination intention before the campaign actually received the vaccine, while 61.3% (68/111) of those without a prior intention got vaccinated. Having a prior vaccination intention, believing in vaccine safety and receiving frequent recommendations from community sources were significant predictors of vaccine uptake, while the shortage of vaccine supply would reduce the likelihood of getting vaccinated. CONCLUSIONS: Promotion interventions for vaccination intentions need to be launched well before the availability of the vaccine. Sustaining vaccination attitudes and intentions, reducing barriers (e.g. vaccine safety concerns, accessibility, affordability) and shaping vaccination behavior would be effective in closing the intention-action gap and motivating vaccine uptake.

Public Perceptions and Acceptance of COVID-19 Booster Vaccination in China: A Cross-Sectional Study.

Coronavirus disease 2019 (COVID-19) booster vaccination has been proposed in response to the new challenges of highly contagious variants, yet few studies have examined public acceptance of boosters. This study examined public acceptance of COVID-19 booster vaccination and its influencing factors by using the data from a self-administered online cross-sectional survey conducted in June 2021 in China. Multiple logistic analysis was used to examine the influencing factors of booster acceptance based on the health belief model (HBM). Among 1145 respondents, 84.80% reported to accept COVID-19 booster vaccination. Having COVID-19 vaccination history, perceiving high benefits and low barriers to booster vaccination, being younger (18-30 vs. 41-50), having a lower education level, being employed, and belonging to priority groups for vaccination were associated with increased odds of booster acceptance. The primary reason for refusing booster vaccination was concern about vaccine safety. The vast majority (92.8%) of respondents reported an annual willingness to pay between 0 and 300 CNY (0-46.29 USD) if the booster was not free. Our findings suggest that the acceptance rate of booster vaccination is relatively high in China, and the HBM-based analysis reveals that more efforts are needed to increase perceived benefits and reduce perceived barriers of vaccination to design effective and proper vaccination extension strategies when boosters become widely recommended.

Caregivers' intentions to COVID-19 vaccination for their children in China: a cross-sectional survey.

Chinese caregivers' intentions to allow their children to be vaccinated against coronavirus disease 2019 (COVID-19) is unknown. We explored the intention rate of Chinese caregivers to allow their children to be vaccinated and examined potential influencing factors and underlying reasons for their unwillingness or hesitation. From November 30, 2020, to January 31, 2021, we conducted a cross-sectional survey of 3703 caregivers in six representative provinces in China. We assessed intention rates and correlates of caregivers' intentions to vaccinate children against COVID-19, using descriptive analyses and a multiple logistic regression analysis, respectively. In the study sample, about 84.0% of caregivers intended to get their children vaccinated for COVID-19 if the vaccine was available. In particular, 92.2% of caregivers who were willing to be vaccinated themselves for COVID-19 intended to have their children vaccinated, yet among caregivers who were unwilling (or uncertain) whether to be vaccinated, only 41.1% intended to have their children vaccinated. Older age, lower education level, and perceived safety and effectiveness of the COVID-19 vaccine were associated with increased odds of caregivers intending to have their children vaccinated. Of the six provinces included in the study, residence in a province other than Hubei increased the likelihood that caregivers would choose not to have their children vaccinated. We found a relatively high vaccination rate (84.0%) among caregivers by using a cross-sectional sample in China. Concerted efforts are needed to address caregivers' concerns about vaccine safety, especially among caregivers who do not intend to be vaccinated themselves.

Plain Language Summary: Recently, COVID-19 infection in children has increased. Although most countries have not approved the COVID-19 vaccine for children, it is likely that they will do so. There is a clear need to explore caregivers' intentions and to understand potential hesitancy as means to inform vaccination policies. We found a relatively high caregivers' intention rate to have their children vaccinated against COVID-19, and caregivers' intentions to be vaccinated themselves was associated with their own decision to have their children vaccinated. In this study, older age, lower education level, belief that the COVID-19 vaccine was safe and effective, and residence in Hubei province were associated with increased odds of caregivers intending to have their children vaccinated. Policy makers should address caregivers' concerns about vaccine safety and encourage caregivers themselves to get vaccinated before they decide to have their children vaccinated.

Exploiting Shared Knowledge From Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation.

The novel Coronavirus disease (COVID-19) is a highly contagious virus and has spread all over the world, posing an extremely serious threat to all countries. Automatic lung infection segmentation from computed tomography (CT) plays an important role in the quantitative analysis of COVID-19. However, the major challenge lies in the inadequacy of annotated COVID-19 datasets. Currently, there are several public non-COVID lung lesion segmentation datasets, providing the potential for generalizing useful information to the related COVID-19 segmentation task. In this paper, we propose a novel relation-driven collaborative learning model to exploit shared knowledge from non-COVID lesions for annotation-efficient COVID-19 CT lung infection segmentation. The model consists of a general encoder to capture general lung lesion features based on multiple non-COVID lesions, and a target encoder to focus on task-specific features based on COVID-19 infections. We develop a collaborative learning scheme to regularize feature-level relation consistency of given input and encourage the model to learn more general and discriminative representation of COVID-19 infections. Extensive experiments demonstrate that trained with limited COVID-19 data, exploiting shared knowledge from non-COVID lesions can further improve state-of-the-art performance with up to 3.0% in dice similarity coefficient and 4.2% in normalized surface dice. In addition, experimental results on large scale 2D dataset with CT slices show that our method significantly outperforms cutting-edge segmentation methods metrics. Our method promotes new insights into annotation-efficient deep learning and illustrates strong potential for real-world applications in the global fight against COVID-19 in the absence of sufficient high-quality annotations.

The associations of geographic location and perceived risk of infection with the intentions to get vaccinated against COVID-19 in China.

BACKGROUND: Vaccines are a critical tool against coronavirus disease 2019 (COVID-19) pandemic, yet little is known regarding the associations of geographic location and perceived risk with the intentions to get vaccinated against COVID-19 in China. METHODS: An on-site survey of adults aged 18 or older (n = 7261) was conducted from November to December, 2020 in China, and this survey selected six provinces based on the geographic location. RESULTS: In the total sample, 82.5% reported that they would intend to get vaccinated against COVID-19. Compared with Hubei province, respondents' intentions to get vaccinated decreased by 70% in Zhejiang, 61% in Guangdong, 87% in Gansu, and 71% in Jilin, respectively. However, within Hubei province, compared with Wuhan city, respondents' intentions to get vaccinated in other cities were not significantly different. Respondents with higher perceived risk of infection were associated with increased odds of intentions to get vaccinated against COVID-19. CONCLUSION: Our study identified priority geographic regions that need to pay attention on the vaccination campaign and help design effective immunization strategies to increase the vaccine uptake against COVID-19. More attention should be paid to adults residing farther from the epicenter of the outbreak and having lower perceived risk of infection.