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Dan Liu
Brain and Cognition Research Institute, Wuhan University of Science and Technology, Wuhan 430081, China.

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Journal article
Published: 31 October 2019 in International Journal of Environmental Research and Public Health
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Dementia is a serious public health problem. The more extensive dementia knowledge is, the more conducive it is to early prevention and treatment of dementia. However, no assessment of the general population’s dementia awareness has been conducted so far in China. Thus, this study assessed the national public knowledge of dementia based on mobile internet in China. We assessed 10,562 national respondents recruited based on the most popular social networking service in China, WeChat and analyzed the data using quantitative methods. The overall correct rate of total dementia knowledge was 63.14%. Only half of the participants (50.84%) could identify risk factors accurately. The level of dementia knowledge was positively associated with high education, city residency, and experience of exposure to information on dementia. The sandwich generation (aged 20–60 years) had the highest level of dementia knowledge. Chinese people were found to have a low level of knowledge about dementia, especially those aged over 60 years, with low education and living in rural areas. Further educational programs and campaigns are needed to improve dementia knowledge, with greater focus on the older population as the target audience, emphasis on dementia risk factors as educational content, correcting misconceptions about dementia, and providing more experience of exposure to dementia.

ACS Style

Dan Liu; Guirong Cheng; Lina An; Xuguang Gan; Yulian Wu; Bo Zhang; Sheng Hu; Yan Zeng; Liang Wu. Public Knowledge about Dementia in China: A National WeChat-Based Survey. International Journal of Environmental Research and Public Health 2019, 16, 4231 .

AMA Style

Dan Liu, Guirong Cheng, Lina An, Xuguang Gan, Yulian Wu, Bo Zhang, Sheng Hu, Yan Zeng, Liang Wu. Public Knowledge about Dementia in China: A National WeChat-Based Survey. International Journal of Environmental Research and Public Health. 2019; 16 (21):4231.

Chicago/Turabian Style

Dan Liu; Guirong Cheng; Lina An; Xuguang Gan; Yulian Wu; Bo Zhang; Sheng Hu; Yan Zeng; Liang Wu. 2019. "Public Knowledge about Dementia in China: A National WeChat-Based Survey." International Journal of Environmental Research and Public Health 16, no. 21: 4231.

Journal article
Published: 11 November 2016 in International Journal of Environmental Research and Public Health
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Severe fever with thrombocytopenia syndrome (SFTS) is caused by severe fever with thrombocytopenia syndrome virus (SFTSV), which has had a serious impact on public health in parts of Asia. There is no specific antiviral drug or vaccine for SFTSV and, therefore, it is important to determine the factors that influence the occurrence of SFTSV infections. This study aimed to explore the spatial associations between SFTSV infections and several potential determinants, and to predict the high-risk areas in mainland China. The analysis was carried out at the level of provinces in mainland China. The potential explanatory variables that were investigated consisted of meteorological factors (average temperature, average monthly precipitation and average relative humidity), the average proportion of rural population and the average proportion of primary industries over three years (2010–2012). We constructed a geographically weighted logistic regression (GWLR) model in order to explore the associations between the selected variables and confirmed cases of SFTSV. The study showed that: (1) meteorological factors have a strong influence on the SFTSV cover; (2) a GWLR model is suitable for exploring SFTSV cover in mainland China; (3) our findings can be used for predicting high-risk areas and highlighting when meteorological factors pose a risk in order to aid in the implementation of public health strategies.

ACS Style

Liang Wu; Fei Deng; Zhong Xie; Sheng Hu; Hu Sheng; Junming Shi; Dan Liu. Spatial Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in China Using a Geographically Weighted Logistic Regression Model. International Journal of Environmental Research and Public Health 2016, 13, 1125 .

AMA Style

Liang Wu, Fei Deng, Zhong Xie, Sheng Hu, Hu Sheng, Junming Shi, Dan Liu. Spatial Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in China Using a Geographically Weighted Logistic Regression Model. International Journal of Environmental Research and Public Health. 2016; 13 (11):1125.

Chicago/Turabian Style

Liang Wu; Fei Deng; Zhong Xie; Sheng Hu; Hu Sheng; Junming Shi; Dan Liu. 2016. "Spatial Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in China Using a Geographically Weighted Logistic Regression Model." International Journal of Environmental Research and Public Health 13, no. 11: 1125.