Collaborative Filtering Model of Graph Neural Network Based on Random Walk

This paper proposes a novel graph neural network recommendation method to alleviate the user cold-start problem caused by too few relevant items in personalized recommendation collaborative filtering. A deep feedforward neural network is constructed to transform the bipartite graph of user–item interactions into the spectral domain, using a random wandering method to discover potential correlation information between users and items. Then, a finite-order polynomial is used to optimize the convolution process and accelerate the convergence of the convolutional network, so that deep connections between users and items in the spectral domain can be discovered quickly. We conducted experiments on the classic dataset MovieLens-1M. The recall and precision were improved, and the results show that the method can improve the accuracy of recommendation results, tap the association information between users and items more effectively, and significantly alleviate the user cold-start problem.

The Role of General Attitudes and Perceptions Towards Vaccination on the Newly-Developed Vaccine: Results From a Survey on COVID-19 Vaccine Acceptance in China.

Background: Vaccination has been considered one of the most effective public health interventions. In the context of the global epidemic of coronavirus disease 2019 (COVID-19), it remains unclear what role general vaccination attitudes and perceptions have on the acceptance of COVID-19 vaccine. Objective: This study aims to explore the impact of general attitudes and perceptions toward vaccination on the acceptance of a newly developed vaccine, taking COVID-19 vaccines as an example. Method: A cross-sectional survey was conducted among 2,013 Chinese adult participants. Generalized order logistic regression and path analysis models were used to analyze impacts of general attitudes and perceptions toward vaccination on the acceptance of the COVID-19 vaccine. Results: The prevalence of hesitancy to vaccination in general is 49.9% among the Chinese adult population. General perceptions of vaccination were associated with corresponding perceptions of the COVID-19 vaccine. A "no hesitancy" attitude toward vaccination is a significant determinant (aOR = 1.77, 95% CI = 1.36-2.31) of future COVID-19 vaccination compared to vaccine refusers, and perceptions of COVID-19 vaccine remain a significant determinant for the acceptance of the COVID-19 vaccine. Path analysis indicates that perceptions of the importance and safety of vaccination have a positive overall effect on the acceptance of the COVID-19 vaccine, and that general perceptions of vaccination as a whole on each measure indirectly influence the acceptance of the COVID-19 vaccine. Conclusion: General attitudes and perceptions toward vaccination were associated with those of the COVID-19 vaccine and future vaccination intention. To prepare for possible emergence of diseases in the future, routine health campaigns should be launched by relevant government departments and vaccination authorities to enhance the overall awareness and knowledge of vaccination among the public and to ensure optimal vaccination experience. In addition, targeted knowledge dissemination and mass mobilizations should be urged for newly developed vaccines when some specific infectious diseases emerge, such as COVID-19 at present.

Population-Level Effectiveness of COVID-19 Vaccination Program in the United States: Causal Analysis Based on Structural Nested Mean Model.

Though COVID-19 vaccines have shown high efficacy, real-world effectiveness at the population level remains unclear. Based on the longitudinal data on vaccination coverage and daily infection cases from fifty states in the United States from March to May 2021, causal analyses were conducted using structural nested mean models to estimate the population-level effectiveness of the COVID-19 vaccination program against infection with the original strain. We found that in the US, every 1% increase of vaccination coverage rate reduced the weekly growth rate of COVID-19 confirmed cases by 1.02% (95% CI: 0.26%, 1.69%), and the estimated population-level effectiveness of the COVID-19 program was 63.9% (95% CI: 18.0%, 87.5%). In comparison to a no-vaccination scenario, the COVID-19 vaccination campaign averted 8.05 million infections through the study period. Scenario analyses show that a vaccination program with doubled vaccination speed or with more rapid vaccination speed at the early stages of the campaign would avert more infections and increase vaccine effectiveness. The COVID-19 vaccination program demonstrated a high population-level effectiveness and significantly reduced the disease burden in the US. Accelerating vaccine rollout, especially at an early stage of the campaign, is crucial for reducing COVID-19 infections.

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.

Willingness to accept COVID-19 vaccine among the elderly and the chronic disease population in China.

A cross-sectional field survey was conducted from November 2020 to January 2021 among 7259 participants to investigate the public perception, willingness, and information sources for COVID-19 vaccination, with the focus on the elderly and non-communicable chronic disease (NCD) population. Multiple logistic regressions were performed to identify associated factors of the vaccination willingness. The willingness rate of the elderly to accept the future COVID-19 vaccine (79.08%) was lower than that of the adults aged 18-59 (84.75%). The multiple analysis didn't identify significant relationship between NCD status and the vaccination intention. The main reasons for vaccine hesitancy by the public were: concern for vaccine safety, low infection risk, waiting and seeing others getting vaccinated, concern of vaccine effectiveness and price. Their relative importance differed between adults aged 18-59 and the elderly, and between adults aged 18-59 with or without NCD. Perception for vaccination importance, vaccine confidence, and trust in health workers were significant predictors of the vaccination intention in both age groups. The elderly who perceived high infection risk or had trust in governments were more likely to accept the vaccine. Compared with the adults aged 18-59, the elderly used fewer sources for COVID-19 vaccination information and more trusted in traditional media and family, relatives, and friends for getting vaccination recommendations. To promote vaccine uptake, the vaccination campaigns require comprehensive interventions to improve vaccination attitude, vaccine accessibility and affordability, and tailor strategies to address specific concerns among different population groups and conducted via their trusted sources, especially for the elderly.

The Acceptance of COVID-19 Vaccination Under Different Methods of Investigation: Based on Online and On-Site Surveys in China

As Coronavirus Disease-2019 (COVID-19) vaccines became available in December 2020, increasingly more surveys were organized to examine the acceptance of vaccination, while most of them were conducted online. This study aimed to explore the difference between online and traditional on-site surveys in terms of COVID-19 vaccine acceptance. From November to December 2020, an online survey (n = 2013) and an on-site survey (n = 4,316) were conducted simultaneously in China. Multivariate logistic regression was used to identify influencing factors of acceptance, and propensity score matching (PSM) was adopted to balance the outcomes. As a result, 90.0% of the online respondents accepted COVID-19 vaccination, while it was only 82.1% in the on-site survey. After applying PSM, the acceptance rate of the on-site survey was declined to 78.6%. The age structure, residence location, education, and health status were observed as important factors in addressing vaccination acceptance, which needed to be specifically considered when designing online surveys.

Risk perception and behavior analysis of Guizhou college students on COVID-19 epidemic

Objective: In order to provide guidance for the prevention and control of epidemic situations in schools, this paper explores the risk perception and prevention behaviors of college students after classes resume in the post-epidemic period of novel coronavirus pneumonia.

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.

A COVID-19 risk score combining chest CT radiomics and clinical characteristics to differentiate COVID-19 pneumonia from other viral pneumonias.

With the continued transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) throughout the world, identification of highly suspected COVID-19 patients remains an urgent priority. In this study, we developed and validated COVID-19 risk scores to identify patients with COVID-19. In this study, for patient-wise analysis, three signatures, including the risk score using radiomic features only, the risk score using clinical factors only, and the risk score combining radiomic features and clinical variables, show an excellent performance in differentiating COVID-19 from other viral-induced pneumonias in the validation set. For lesion-wise analysis, the risk score using three radiomic features only also achieved an excellent AUC value. In contrast, the performance of 130 radiologists based on the chest CT images alone without the clinical characteristics included was moderate as compared to the risk scores developed. The risk scores depicting the correlation of CT radiomics and clinical factors with COVID-19 could be used to accurately identify patients with COVID-19, which would have clinically translatable diagnostic and therapeutic implications from a precision medicine perspective.

The Changing Acceptance of COVID-19 Vaccination in Different Epidemic Phases in China: A Longitudinal Study.

COVID-19 vaccines have been conditionally used in a few countries, including China since December 2020. The present study aimed to examine whether the acceptance of COVID-19 vaccination changed in different COVID-19 epidemic phases in China. Two consecutive surveys were conducted among Chinese adults in March (n = 2058) (severe epidemic phase) and November-December (n = 2013) (well-contained phase, right before the COVID-19 vaccine was conditionally approved) 2020, and 791 respondents were longitudinally followed-up. The attitude, acceptance, and preferences for future COVID-19 vaccination were compared between two epidemic phases. Multivariate logistic regression was used to identify influencing factors of acceptance. Among the 791 respondents longitudinally followed, 91.9% in March and 88.6% of them in November-December 2020 would like to get COVID-19 vaccination in China. In March 58.3% wished to get vaccinated immediately, but the proportion declined to 23.0% in November-December 2020, because more respondents wanted to delay vaccination until the vaccine's safety was confirmed. Similar results were found by comparing all respondents from the two cross-sectional surveys in different epidemic phases. The risk perception, attitude for the importance of vaccination against COVID-19, vaccination history, valuing doctor's recommendations, vaccination convenience, or vaccine price in decision-making had impacts on respondents' intention for immediate vaccination. The public acceptance for COVID-19 vaccination in China sustained at a high level in different COVID-19 epidemic phases. However, the intention of immediate vaccination declined substantially due to concerns about the vaccine's safety. Information about vaccination safety from authoritative sources, doctor's recommendations, and vaccination convenience were important in addressing vaccine hesitancy and promoting successful herd immunity for the general population in China.

Willingness to pay and financing preferences for COVID-19 vaccination in China.

BACKGROUND: The COVID-19 pandemic has caused significant diseases and economic burdens in the world. Vaccines are often considered as a cost-effective way to prevent and control infectious diseases, and the research and development of COVID-19 vaccines have been progressing unprecedently. It is needed to understand individuals' willingness to pay (WTP) among general population, which provides information about social demand, access and financing for future COVID-19 vaccination. OBJECTIVE: To investigate individuals' WTP and financing mechanism preference for COVID-19 vaccination during the pandemic period in China. METHODS: During March 1-18, 2020, we conducted a network stratified random sampling survey with 2058 respondents in China. The survey questionnaires included out-of-pocket WTP, financing mechanism preference as well as basic characteristics of the respondents; risk perception and impact of the COVID-19 pandemic; attitude for future COVID-19 vaccination. Multivariable Tobit regression was used to determine impact factors for respondents' out-of-pocket WTP. RESULTS: The individuals' mean WTP for full COVID-19 vaccination was CNY 254 (USD 36.8) with median of CNY 100 (USD 14.5). Most respondents believed that governments (90.9%) and health insurance (78.0%) needed to pay for some or full portions of COVID-19 vaccination, although 84.3% stated that individuals needed to pay. Annual family income, employee size in the workplace, and whether considering the COVID-19 pandemic in China in a declining trend affected respondents' WTP significantly. CONCLUSION: The findings demonstrated the individuals' WTP for COVID-19 vaccination in China and their preferences for financing sources from individuals, governments and health insurance. And to suggest an effective and optimal financing strategy, the public health perspective with equal access to COVID-19 vaccination should be prioritized to ensure a high vaccination rate.

Efficacy and safety of traditional Chinese medicine combined with routine western medicine for the asymptomatic novel coronavirus disease (COVID-19): A Bayesian network meta-analysis protocol.

BACKGROUND: The number of patients infected with novel coronavirus disease (COVID-19) has exceeded 10 million in 2020, and a large proportion of them are asymptomatic. At present, there is still no effective treatment for this disease. Traditional Chinese medicine (TCM) shows a good therapeutic effect on COVID-19, especially for asymptomatic patients. According to the search results, we found that although there are many studies on COVID-19, there are no studies targeting asymptomatic infections. Therefore, we design a network meta-analysis (NMA) to evaluate the therapeutic effect of TCM on asymptomatic COVID-19. METHODS: We will search Chinese and English databases to collect all randomized controlled trials (RCTs) of TCM combined with conventional western medicine or using only TCM to treat asymptomatic COVID-19 from December 2019 to July 2020. Then, two investigators will independently filter the articles, extract data, and evaluate the risk of bias. We will conduct a Bayesian NMA to evaluate the effects of different therapies. All data will be processed by Stata 16.0 and WinBUGS. RESULTS: This study will evaluate the effectiveness of various treatments for asymptomatic COVID-19. The outcome indicators include the time when the nucleic acid turned negative, the proportion of patients with disease progression, changes in laboratory indicators, and the side effects of drugs. CONCLUSION: This analysis will further improve the treatment of asymptomatic COVID-19. INPLASY REGISTRATION NUMBER: INPLASY202070022.

Acceptance of COVID-19 Vaccination during the COVID-19 Pandemic in China.

BACKGROUND: Faced with the coronavirus disease 2019 (COVID-19) pandemic, the development of COVID-19 vaccines has been progressing at an unprecedented rate. This study aimed to evaluate the acceptance of COVID-19 vaccination in China and give suggestions for vaccination strategies and immunization programs accordingly. METHODS: In March 2020, an anonymous cross-sectional survey was conducted online among Chinese adults. The questionnaire collected socio-demographic characteristics, risk perception, the impact of COVID-19, attitudes, acceptance and attribute preferences of vaccines against COVID-19 during the pandemic. Multivariate logistic regression was performed to identify the influencing factors of vaccination acceptance. RESULTS: Of the 2058 participants surveyed, 1879 (91.3%) stated that they would accept COVID-19 vaccination after the vaccine becomes available, among whom 980 (52.2%) wanted to get vaccinated as soon as possible, while others (47.8%) would delay the vaccination until the vaccine's safety was confirmed. Participants preferred a routine immunization schedule (49.4%) to emergency vaccination (9.0%) or either of them (41.6%). Logistic regression showed that being male, being married, perceiving a high risk of infection, being vaccinated against influenza in the past season, believing in the efficacy of COVID-19 vaccination or valuing doctor's recommendations could increase the probability of accepting COVID-19 vaccination as soon as possible, while having confirmed or suspected cases in local areas, valuing vaccination convenience or vaccine price in decision-making could hinder participants from immediate vaccination. CONCLUSION: During the pandemic period, a strong demand for and high acceptance of COVID-19 vaccination has been shown among the Chinese population, while concerns about vaccine safety may hinder the promotion of vaccine uptake. To expand vaccination coverage, immunization programs should be designed to remove barriers in terms of vaccine price and vaccination convenience, and health education and communication from authoritative sources are important ways to alleviate public concerns about vaccine safety.