About: The Relationship Between COVID-19 Infection and Risk Perception, Knowledge, Attitude As Well As Four Non-pharmaceutical Interventions (NPIs) During the Late Period Of The COVID-19 Epidemic In China An Online Cross-sectional Survey of 8158 Adults

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About: The Relationship Between COVID-19 Infection and Risk Perception, Knowledge, Attitude As Well As Four Non-pharmaceutical Interventions (NPIs) During the Late Period Of The COVID-19 Epidemic In China An Online Cross-sectional Survey of 8158 Adults Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	The Relationship Between COVID-19 Infection and Risk Perception, Knowledge, Attitude As Well As Four Non-pharmaceutical Interventions (NPIs) During the Late Period Of The COVID-19 Epidemic In China An Online Cross-sectional Survey of 8158 Adults
Creator	Xu, Hong Chen, Min Gan, Yong Wu, Bo Tao, Zhou Chen, Jack Hu, Yaoyue Li, Mingjing Liu, Chenglu Lu, Zuxun Mbbs, Jack Xu, Chang Zheng, Daikun Zhu, Xian
Source	MedRxiv
abstract	Background: So far, there has been no published population study on the relationship between COVID19 infection and public risk perception, information source, knowledge, attitude and four nonpharmaceutical interventions(NPI: hand washing, proper coughing habits, social distancing and mask wearing) during the COVID-19 outbreak in China. Methods: An online survey of 8158 Chinese adults between 22 February to 5 March 2020 was conducted. Bivariate associations between categorical variables were examined using Fisher exact test. We also explored the determinants of four NPIs as well as their association with COVID19 infection using logistic regression. Results: Of 8158 adults included, 57 (0.73%) were infected with COVID19. The overwhelming majority of respondents showed a positive attitude (99.2%), positive risk perception (99.9%) and high knowledge levels that were among the strongest predictors of four highly adopted NPIs (hand washing:96.8%; proper coughing: 93.1%; social distancing:87.1%; mask wearing:97.9%). There was an increased risk of COVID19 infection for those who not washing hands (2.28% vs 0.65%; RR=3.53: 95%CI: 1.538.15; P<0.009); not practicing proper coughing (1.79% vs 0.73%; RR=2.44: 95%CI: 1.15-5.15;P=0.026); not practicing social distancing (1.52% vs 0.58%; RR=2.63:95%CI:1.48 4.67; P=0.002); and not wearing a mask (7.41% vs 0.6%; RR=12.38:95%CI:5.81-26.36; P<0.001). For those who did practice all other three NPIs, wearing mask was associated with significantly reduced risk of infection compared to those who did not wear a mask (0.6% vs 16.7%; p=0.035). Similarly, for those who did not practice all or part of the other three NPIs, wearing mask was also associated with significantly reduced risk of infection. In a penalised logistic regression model including all four NPIs, wearing a mask was the only significant predictor of COVID19 infection among four NPIs (OR=7.20; 95%CI:2.2423.11; p<0.001). Conclusions: We found high levels of risk perception, positive attitude, desirable knowledge as well as a high level of adopting four NPIs. The relevant knowledge, risk perception and attitude were strong predictors of adapting the four NPIs. Mask wearing, among four personal NPIs, is the most effective protective measure against COVID19 infection with added preventive effect among those who practised all or part of the other three NPIs.
has issue date	2020-06-04(xsd:dateTime)
bibo:doi	10.1101/2020.06.02.20120808
has license	medrxiv
sha1sum (hex)	7414bbbef0b67b991938b18809423da02543125f
schema:url	https://doi.org/10.1101/2020.06.02.20120808
resource representing a document's title	The Relationship Between COVID-19 Infection and Risk Perception, Knowledge, Attitude As Well As Four Non-pharmaceutical Interventions (NPIs) During the Late Period Of The COVID-19 Epidemic In China An Online Cross-sectional Survey of 8158 Adults
resource representing a document's body	covid:7414bbbef0b67b991938b18809423da02543125f#body_text
is schema:about of	named entity 'HAND WASHING' named entity 'COVID-19' named entity 'hand washing' named entity 'COVID' named entity 'coughing' named entity 'pharmaceutical' named entity 'Knowledge' named entity 'preprint' named entity 'preprint' named entity 'family member' named entity 'study protocol' named entity 'flatten the curve' named entity 'risk difference' named entity 'perceived risk' named entity 'infection' named entity 'Hubei' named entity 'preprint' named entity 'social distancing' named entity 'self-isolation' named entity 'critical period' named entity 'demographic' named entity 'self-isolation' named entity 'COVID' named entity 'Wuhan' named entity 'medRxiv' named entity 'China' named entity 'critical period' named entity 'preprint' named entity 'sample size' named entity 'logistic regression' named entity 'June 4' named entity 'preprint' named entity 'preprint' named entity '5.00' named entity 'preprint' named entity 'self-isolation' named entity 'therapeutic agents' named entity 'COVID' named entity 'China' named entity 'Wuhan' named entity 'preprint' named entity 'COVID-19 outbreak' named entity 'demographic characteristics' named entity 'demographic' named entity 'medRxiv' named entity 'data management' named entity 'medRxiv' named entity 'COVID' named entity 'infection' named entity 'preprint' named entity 'COVID-19 pandemic' named entity 'Risk ratio' named entity 'BMI' named entity 'COVID' named entity 'smokers' named entity 'peer review' named entity 'infection' named entity 'preprint' named entity 'study design' named entity 'preprint' named entity 'confidence intervals' named entity 'asymptomatic' named entity 'preprint' named entity 'statistical analysis' named entity 'universal acceptance' named entity 'vaccine' named entity 'COVID' named entity 'infection' named entity 'Wuhan' named entity 'COVID' named entity 'coronavirus disease' named entity 'COVID'

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