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This paper proposes a pattern recognition method for φ-OTDR based on self-reference features, where machine learning is applied to classify the vibration monitored. The φ-OTDR collects the light amplitude-time-space sequence, establishes a reference position in the spatial dimension, and combines the two dimensions of the vibration and reference positions to form self-reference features, which are then used as machine learning features. These self-reference features can effectively improve the pattern recognition accuracy. This paper selects a low sampling frequency for data collection, analyzes the influence of sample definition methods of different time lengths on the pattern recognition accuracy, and determines that the optimal sample length is 10 data points. The contribution of different feature parameters to pattern recognition is analyzed, and eight eigenvalues such as average, maximum, and minimum are finally determined to form self-reference features that are used as the input of the machine learning algorithm. The recognition accuracies of five machine learning algorithms including kNN, Decision Tree, Random Forest, LightGBM, and CatBoost are analyzed and compared, and the CatBoost algorithm in the integrated learning algorithm is finally determined as the optimal algorithm. On this basis, this paper proposes a filtering algorithm to deal with abnormal signals, which can effectively compensate for abnormal data and further improve the accuracy of pattern recognition. Finally, this paper conducts the pattern recognition study on four common events of tapping, bending, trampling, and blowing, and obtains the average recognition rate of 98%. In addition, this paper innovatively carried out pattern recognition research on five types of mining equipment, including ball mills, vibrating screens, conveyor belts, filters, and industrial pumps, and obtained the average recognition rate of 93.5%.
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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.
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COVID-19 , Vacunas , Adulto , COVID-19/prevención & control , Vacunas contra la COVID-19/efectos adversos , China , Humanos , Programas de Inmunización , Intención , Estudios Longitudinales , SARS-CoV-2 , VacunaciónRESUMEN
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.
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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.
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Vacunas contra la COVID-19 , COVID-19 , COVID-19/prevención & control , Cuidadores , Niño , Estudios Transversales , Humanos , Intención , SARS-CoV-2 , VacunaciónRESUMEN
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.