ABSTRACT
Vaccine hesitancy plays a key role in vaccine delay and refusal, but its measurement is still a challenge due to multiple intricacies and uncertainties in factors. This paper attempts to tackle this problem through fuzzy cognitive inference techniques. Firstly, we formulate a vaccine hesitancy determinants matrix containing multi-level factors. Relations between factors are formulated through group decision-making of domain experts, which results in a fuzzy cognitive map. The subjective uncertainty of linguistic variables is expressed by fuzzy numbers. A double-weighted method is designed to integrate the distinguished decisions, in which the subjective hesitancy is considered for each decision. Next, three typical scenarios are constructed to identify key and sensitive factors under different experimental conditions. The experimental results are further discussed, which enrich the approaches of vaccine hesitancy estimation for the post-pandemic global recovery.
ABSTRACT
Starting from December 2019, the novel coronavirus disease 2019 (COVID-19) has been rapidly spreading throughout the world, disrupting individuals' lives and the function of the whole human society. At the frontlines of the fight against the COVID-19 pandemic, multiple aspects of healthcare facilities have been significantly affected. To fill the information gap in the scientific literature, a small pilot study was conducted in this paper to assess the impacts of COVID-19 on service utilization and energy consumption in healthcare facilities. Monthly services utilization data including number of outpatients and emergency patients (NOEP), number of inpatients (NIP), and monthly total energy consumption (TEC) data of five Shanghai large-scale municipal hospitals have been utilized. The impacts were modeled using the autoregressive integrated moving average (ARIMA) model with the normal period (January 2015-December 2019) and compared with COVID-19 period (January 2020-December 2020). The empirical results show that the impacts of COVID-19 on services utilization were significantly greater than those on energy consumption. In addition, the magnitude of the impact has varied significantly according to the type of service and healthcare facilities. This study provides insights for healthcare facilities in assessing services utilization and energy demand during times of public health crises, such as the COVID-19 pandemic.
ABSTRACT
Visual narratives are promising tools for science and health communication, especially for broad audiences in times of public health crisis, such as during the COVID-19 pandemic. In this study, we used the Lifeology illustrated "flashcard" course platform to construct visual narratives about COVID-19, and then assessed their impact on behavioral intentions. We conducted a survey experiment among 1,775 health app users. Participants viewed illustrated (sequential art) courses about: 1) sleep, 2) what COVID-19 is and how to protect oneself, 3) mechanisms of how the virus works in the body and risk factors for severe disease. Each participant viewed one of these courses and then answered questions about their understanding of the course, how much they learned, and their perceptions and behavioral intentions toward COVID-19. Participants generally evaluated "flashcard" courses as easy to understand. Viewing a COVID-19 "flashcard" course was also associated with improved self-efficacy and behavioral intentions toward COVID-19 disease prevention as compared to viewing a "flashcard" course about sleep science. Our findings support the use of visual narratives to improve health literacy and provide individuals with the capacity to act on health information that they may know of but find difficult to process or apply to their daily lives.
ABSTRACT
Objective: To investigate the severity of stress, anxiety, depression and insomnia during the novel coronavirus disease (COVID-19) pandemic in adults outside Hubei Province, China. Methods: An online survey of psychological and sleep by using Questionnaire Star program from 5th to 19th February 2020 was conducted. The Impact of Event Scale-Revised was used to assess COVID-19 outbreak-related stress symptoms. Meanwhile, Questionnaires of Generalized Anxiety Disorder-7, Patient Health Questionnaire-9 and the Insomnia Severity Index were respectively used to assess the severity of anxiety, depression and insomnia symptoms prior to and during the COVID-19 pandemic. Results: A total of 3 134 subjects were included. Among the included subjects, 15.5% (487), 24.9% (779), 28.7% (899) and 30.9% (968) of the subjects had COVID-19-related stress symptoms, anxiety, depression and insomnia after the COVID-19 outbreak, respectively. The severity levels of anxiety, depression and insomnia were significantly increased during the COVID-19 pandemic compared to prior to the outbreak (all P<0.01). Furthermore, the subjects' stress response to the COVID-19 outbreak was an independent risk factor for increased anxiety, depression and insomnia after the outbreak. Conclusion: The COVID-19 outbreak resulted in related stress response and widespread increase in anxiety, depression, and insomnia outside Hubei Province, China in the general population. The aggravation of anxiety, depression and insomnia is associated with stress levels. Our data demonstrate that the widespread psychological and insomnia problems in the general population need to be addressed at the early phase of the pandemic.