Project description:ObjectiveTo assess the effect of wireless telephone substitution in a survey of health care reform opinions.Data sourceSurvey of New Jersey adults conducted by landline and wireless telephones from June 1 to July 9, 2007.Study designEighty-one survey measures are compared by wireless status. Logistic regression is used to confirm landline-wireless gaps in support for coverage reforms, controlling for population differences. Weights adjust for selection probability, complex sample design, and demographic distributions.Principal findingsSignificant differences by wireless status were found in many survey measures. Wireless users were significantly more likely to favor coverage reforms. Higher support for government-sponsored universal coverage, income-related state coverage subsidies, and an individual mandate remain after adjustment for demographic variables.ConclusionsOpinion polls excluding wireless users are likely to understate support for coverage reforms.
Project description:As the third year of the global COVID-19 pandemic, vaccination remains the most effective tool against infections and symptomatic illness. Comprehension regarding immunity to SARS-CoV-2 is limited, and the durability of immune responses after vaccination is currently not clear. In this study, we randomly collected 395 questionnaires to analyze the current state of COVID-19 vaccination. At the same time, the serum of 16 individuals who had received two doses of the COVID-19 vaccine were collected at different times before and after the booster vaccination. We analyzed the dynamic changes of SARS-CoV-2 S-specific binding antibodies in serum and immunological indicators. By collecting public opinion surveys and analyzing variational trends of SARS-CoV-2 S-specific binding antibodies and immune indicators after COVID-19 booster vaccination, we endeavored to demonstrate the concerns affecting people's booster vaccinations, as well as the frequency, timing, and necessity of COVID-19 booster vaccinations. The analysis of antibody results in 16 vaccinated volunteers showed that the antibody concentration decreased six months after the second dose and the protective effect of the virus was reduced. The third dose of COVID-19 vaccination is necessary to maintain the antibody concentration and the protective effect of the virus. The vaccination with the vaccine booster depends not only on the time interval but also on the initial concentration of the SARS-CoV-2 S-specific binding antibody before the booster. Our study has important implications for raising public awareness of vaccinating against SARS-CoV-2 and the necessity of COVID-19 booster vaccinations.
Project description:Background: Part of the role of the media is to report any issue affecting the society to the masses. Coronavirus has become an issue of transnational concern. The importance of the media in the coverage of coronavirus disease 2019 (COVID-19) in Nigeria and its implications among Nigerian populace cannot be overestimated. This study evaluates how Nigerian media depict the coronavirus pandemic and how the depictions shape people's perception and response to the pandemic. Methods: The study employed a quantitative design (newspaper content analysis and questionnaire). The content analysis examines the nature of media coverage of coronavirus in Nigeria and China using four major national newspapers (The Sun, The Vanguard, The Guardian and The Punch). The period of study ranged from January 2020 to March 2020. A total of 1070newspaper items on coronavirus outbreak were identified across the four newspapers and content-analysed. Results: The finding shows that the coverage of the pandemic was dominated by straight news reports accounting for 763 or (71.3%) of all analysed items. This was followed by opinions 169(15.8%), features 120 (11.2%) and editorials 18 (1.7%) respectively. The Punch 309 (28.9%)reported the outbreak more frequently than The Sun 266 (24.9%), The Guardian 258 (24.1%), and Vanguard 237 (22.1%). Finding further suggests that the framing pattern adopted by the newspapers helped Nigerians to take precautionary measures. Conclusion: Continuous reportage of COVID-19 has proved effective in creating awareness about safety and preventive measures thereby helping to 'flatten the curve' and contain the spread of the virus. However, the newspapers should avoid creating fear/panic in reporting the pandemic.
Project description:The novel coronavirus disease (COVID-19) has become a global pandemic, causing substantial anxiety. One potential factor in the spread of anxiety in response to a pandemic threat is emotion contagion, the finding that emotional experiences can be socially spread through conscious and unconscious pathways. Some individuals are more susceptible to social contagion effects and may be more likely to experience anxiety and other mental health symptoms in response to a pandemic threat. Therefore, we studied the relationship between emotion contagion and mental health symptoms during the COVID-19 pandemic. We administered the Emotion Contagion Scale (ESC) along with a measure of anxiety in response to COVID-19 (modified from a previous scale designed to quantify fear of the Swine Flu outbreak) and secondary outcome measures of depression, anxiety, stress, and obsessive-compulsive disorder (OCD) symptoms. These measures were completed by a large (n = 603) student sample in the United States. Data were collected in the months of April and May of 2020 when the fear of COVID-19 was widespread. Results revealed that greater susceptibility to emotion contagion was associated with greater concern about the spread of COVID-19, more depression, anxiety, stress, and OCD symptoms. Consumption of media about COVID-19 also predicted anxiety about COVID-19, though results were not moderated by emotion contagion. However, emotion contagion did moderate the relationship between COVID-19-related media consumption and elevated OCD symptoms. Although limited by a cross-sectional design that precludes causal inferences, the present results highlight the need for study of how illness fears may be transmitted socially during a pandemic.
Project description:With the rapid development of the internet, an increasing number of users express their subjective opinions on social media platforms. By analyzing the sentiment of these texts, we can gain insights into public sentiment, industry changes, and market trends, enabling timely adjustments and preemptive strategies. This article initially constructs vectors using semantic fusion and word order features. Subsequently, it develops a lexicon vector based on word similarity and leverages supervised corpora training to obtain a more pronounced transfer weight vector of sentiment intensity. A multi-feature fused emotional word vector is ultimately formed by concatenating and fusing these weighted transfer vectors. Experimental comparisons on two multi-class microblog comment datasets demonstrate that the multi-feature fusion (WOOSD-CNN) word vector model achieves notable improvements in sentiment polarity accuracy and categorization effectiveness. Additionally, for aspect-level sentiment analysis of user generated content (UGC) text, a unified learning framework based on an information interaction channel is proposed, which enables the team productivity center (TPC) task. Specifically, an information interaction channel is designed to assist the model in leveraging the latent interactive characteristics of text. An in-depth analysis addresses the label drift phenomenon between aspect term words, and a position-aware module is constructed to mitigate the local development plan (LDP) issue.
Project description:Natural disasters are usually sudden and unpredictable, so it is too difficult to infer them. Reducing the impact of sudden natural disasters on the economy and society is a very effective method to control public opinion about disasters and reconstruct them after disasters through social media. Thus, we propose a public sentiment feature extraction method by social media transmission to realize the intelligent analysis of natural disaster public opinion. Firstly, we offer a public opinion analysis method based on emotional features, which uses feature extraction and Transformer technology to perceive the sentiment in public opinion samples. Then, the extracted features are used to identify the public emotions intelligently, and the collection of public emotions in natural disasters is realized. Finally, through the collected emotional information, the public's demands and needs in natural disasters are obtained, and the natural disaster public opinion analysis system based on social media communication is realized. Experiments demonstrate that our algorithm can identify the category of public opinion on natural disasters with an accuracy of 90.54%. In addition, our natural disaster public opinion analysis system can deconstruct the current situation of natural disasters from point to point and grasp the disaster situation in real-time.
Project description:The opinions of others can easily affect how much we value things. We investigated what happens in our brain when we agree with others about the value of an object and whether or not there is evidence, at the neural level, for social conformity through which we change object valuation. Using functional magnetic resonance imaging we independently modeled (1) learning reviewer opinions about a piece of music, (2) reward value while receiving a token for that music, and (3) their interaction in 28 healthy adults. We show that agreement with two "expert" reviewers on music choice produces activity in a region of ventral striatum that also responds when receiving a valued object. It is known that the magnitude of activity in the ventral striatum reflects the value of reward-predicting stimuli. We show that social influence on the value of an object is associated with the magnitude of the ventral striatum response to receiving it. This finding provides clear evidence that social influence mediates very basic value signals in known reinforcement learning circuitry. Influence at such a low level could contribute to rapid learning and the swift spread of values throughout a population.
Project description:ObjectiveTo identify, investigate and categorize the most frequently shared content related to COVID-19 by social media users.MethodsThe BuzzSumo analytic tool was used to identify the most frequently shared content about COVID-19 between July and August 2020. They were then analyzed and classified into eight main categories according to their topic.ResultsAmong 120 articles that were shared 6,189,187 times in total during the analyzed period, the most popular were those that referred to methods for decreasing COVID-19 spread and characteristics. No myths or misinformation were found in the most frequently shared articles. The most popular content included humorous yet educational videos.ConclusionsThe most frequently shared content by social media users is reliable and refers to prevention in the first place. As humorous videos about prevention attracted the most attention, it seems an attractive and potentially effective strategy to foster online preventive behaviors during the pandemic.Lay summaryThe most popular articles that were shared more than 6 million times in total during the analyzed period of time referred methods for decreasing COVID-19 spread and COVID-19 characteristics. The Internet and social media provide countless opportunities and audiences to deliver accurate knowledge and recommendations on COVID-19 and may contribute to fostering preventive and responsible behaviors.
Project description:BackgroundBiosimilars are expected to decrease growing health care expenditures. Given that uptake of biosimilars has been modest, automatic substitution has been suggested to increase their use, but the practice is not yet allowed or implemented in many jurisdictions.MethodsA systematic review was performed by searching databases Scopus, Medline (Ovid), CINAHL, and Web of Science. Peer-reviewed, original studies written in English and published during the period January 1, 2006 to April 24, 2021 reporting any interventions, pilots or any other studies including experiences or perceptions of any relevant stakeholders on automatic substitution of biologics were included without limitation by setting or geography. The quality of the included studies were evaluated by pre-determined criteria.ResultsAltogether, 27 studies fulfilled the inclusion criteria, of which 23 were surveys, and four semi-structured interviews reporting mainly stakeholders' perceptions on automatic substitution. Most of the studies (56%, 15/27) were from Europe. Studies were conducted among prescribers (n = 12), pharmacists (n = 5), patients (n = 4), payers (n = 1), and mixed stakeholders (n = 5). The primary objective of the majority (81%, 22/27) of the studies was to investigate some other biosimilar topic than automatic substitution. The reported perceptions of substitution were mainly negative. Studies evaluating risks, safety or effectiveness, or reporting real-life experiences of biologic substitution were lacking except one intervention and two prospective risk management studies. The overall quality of the studies was low to moderate, and the results were not generalizable due to convenience sampling not representing the populations of interest, and low response rates.ConclusionsThe current research evidence on the automatic substitution of biologics is scarce and of low to moderate quality, reflecting low stakeholder knowledge and their cautious attitude towards biosimilars. The safe and efficient implementation of automatic substitution requires well-designed practices, pilot studies, and evolving legislation.
Project description:Physiological linkage refers to the degree to which peoples' physiological responses change in coordinated ways. Here, we examine whether and how physiological linkage relates to incidents of shared emotion, distinguished by valence. Past research has used an "overall average" approach and characterized how physiological linkage over relatively long time periods (e.g., 10-15 min) reflects psychological and social processes (e.g., marital satisfaction, empathy). Here, we used a "momentary" approach and characterized whether physiological linkage over relatively short time periods (i.e., 15 s) reflects shared positive emotion, shared negative emotion, or both, and whether linkage during shared emotions relates to relational functioning. Married couples (156 dyads) had a 15-min conflict conversation in the laboratory. Using behavioral coding, each second of conversation was classified into 1 of 4 emotion categories: shared positive emotion, shared negative emotion, shared neutral emotion, or unshared emotion. Using a composite of 3 peripheral physiological measures (i.e., heart rate, skin conductance, finger pulse amplitude), we computed momentary in-phase and antiphase linkage to represent coordinated changes in the same or opposite direction, respectively. We found that shared positive emotion was associated with higher in-phase and lower antiphase linkage, relative to the other 3 emotion categories. Greater in-phase physiological linkage during shared positive emotion was also consistently associated with higher-quality interactions and relationships, both concurrently and longitudinally (i.e., 5 to 6 years later). These findings advance our understanding of the nature of physiological linkage, the emotional conditions under which it occurs, and its possible associations with relational functioning. (PsycInfo Database Record (c) 2021 APA, all rights reserved).