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1.
Asian Population Studies ; 19(1):40-58, 2023.
Article in English | ProQuest Central | ID: covidwho-2269445

ABSTRACT

The COVID-19 pandemic delivered a heavy blow to social and economic development globally and presents an unprecedented challenge to public health and livelihoods. Using data from a survey on the living needs of people in China amid the COVID-19 outbreak, this study analysed the relationship between the duration of exposure to information on COVID-19 and mental health;the mediating effects of risk perception and confidence in pandemic prevention and control were also measured. We found that prolonged exposure to information on COVID-19 made people feel more anxious and stressed. Meanwhile, risk perception and confidence in pandemic prevention and control functioned as mediators between the duration of exposure to information on COVID-19 and anxiety and stress. Therefore, reduced duration of exposure to pandemic information can lower risk perception and enhance confidence in pandemic prevention and control. It can also relieve anxiety and stress caused by information about the spread of the pandemic.

2.
Ieee Access ; 10:104156-104168, 2022.
Article in English | Web of Science | ID: covidwho-2070271

ABSTRACT

The named entity recognition based on the epidemiological investigation of information on COVID-19 can help analyze the source and route of transmission of the epidemic to control the spread of the epidemic better. Therefore, this paper proposes a Chinese named entity recognition model BERT-BiLSTM-IDCNN-ELU-CRF (BBIEC) based on the epidemiological investigation of information on COVID-19 of the BERT pre-training model. The model first processes the unlabeled epidemiological investigation of information on COVID-19 into the character-level corpus and annotates it with artificial entities according to the BIOES character-level labeling system and then uses the BERT pre-training model to obtain the word vector with position information;then, through the bidirectional long-short term memory neural network (BiLSTM) and the improved iterated dilated convolutional neural network (IDCNN) extract global context and local features from the generated word vectors and concatenate them serially;output all possible label sequences to the conditional random field (CRF);finally pass the condition random The airport decodes and generates the entity tag sequence. The experimental results show that the model is better than other traditional models in recognizing the entity of the epidemiological investigation of information on COVID-19.

3.
Front Public Health ; 8: 340, 2020.
Article in English | MEDLINE | ID: covidwho-691210

ABSTRACT

Background: Market vendors occupy a strategic position in the fight against the spread of SARS CoV-2 in rural Uganda. To successfully contain the spread of the virus, special attention needs to be given to this set of people by assessing the type of information, source of information, and practices they inculcate as regards adherence to WHO guidelines in the fight against COVID-19 in Uganda. The study aimed to assess the role of information sources, education level, and phone internet connectivity in influencing COVID-19 knowledge among the rural market vendors; and the relationship existing between knowledge, attitude, and practices among them. Methods: The study was a descriptive cross-sectional study among rural market vendors (n = 248) in southwestern Uganda. Information was collected using a questionnaire and descriptively presented as frequency and percentages. Results: The study showed that the majority of the rural market vendors had sufficient information regarding COVID-19 with the majority being female individuals and have attained a secondary level of education, The general percentage score for knowledge, attitude, and practices were (75.57, 82.6, and 76.50% respectively). There was a positive correlation between attitude and practices (r = 0.17, p = 0.007), as well as their knowledge with practices (r = 0.29, p < 0.001). The majority of the people in the population did not have their phones connected to the internet (OR = 1.96, 95%CI: 1.16-3.31, P = 0.01). The majority of people received their information regarding COVID-19 from one source (radio) (OR = 1.55). Conclusion: Where and how the rural market vendors get their information and education level are vital in breaking COVID 19 infection circle in line with WHO guidelines. Therefore, sources of information and education level played a key role in molding their knowledge and practices. However, the level of knowledge on COVID 19 among our respondents was not linked with phone internet connectivity.


Subject(s)
COVID-19/prevention & control , Commerce , Guideline Adherence/statistics & numerical data , Health Knowledge, Attitudes, Practice , Adult , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Uganda , World Health Organization , Young Adult
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