scholarly journals Online Public Attention of Premature ejaculation in Mainland China: Infodemiology Study Based on Baidu Index (Preprint)

Author(s):  
Shanzun Wei ◽  
Ming Ma ◽  
Xi Wen ◽  
Changjing Wu ◽  
Guonian Zhu ◽  
...  
2021 ◽  
Author(s):  
Shanzun Wei ◽  
Ming Ming ◽  
Changjing Wu ◽  
Xi Wen ◽  
Guonian Zhu ◽  
...  

BACKGROUND Premature ejaculation (PE) is one of the most described psychosocial stress and sexual complaints worldwide. Previous investigations have focused predominantly on the prospective identification of cases that meets the researchers' criteria. The genuine demand as regards PE and related issues from patients may thus be neglected. OBJECTIVE To examine the online search trend and users’ demand related to PE on a national and regional scale using the dominant major search engine in mainland China. METHODS The Baidu Index was queried using the PE related terms for the period 2011.01–2020.12. The search volume for each term was recorded to analyze the search trend and demographic distributions. For user interest, the data of demand graph and trend data were collected and analyzed. RESULTS Of the 36 available PE keywords, 4 PE searching topics were identified. The BSI for each PE topics varies from 46.30% to 6.41%. The APC for topic Complaint was 2011-2014, 48.80% (p > .05); 2014-2020, -16.82% (p < .05). The APC for topic Enquiry was 2011-2014, 16.21% (p > .05); 2014-2020, -11.00% (p < .05). For topic Prognosis, the annual APC was 2011-2017, 11.18% (p < .05); 2017-2020, -19.86% (p < .05). For topic Treatment, the annual APC was 2011-2016, 14.04% (p < .05); 2016-2020, -38.83% (p < .05). The age distribution of the population of each PE searching topics enquiries shows that the population aged 20 to 40 years comprised nearly 70% of the total search enquiries. Seconded is 17.95 % in the age group under 19 years. People from the east part of china made over 50% of the total search queries. CONCLUSIONS e fluctuating online popularity of PE search is reflecting the real-time population demands. It may help medical professionals better understand population interest, population concerns, regional variations and gender differences on a national wide scale and making disease-specific healthcare policies. The internet search data could be more reliable when the insufficient and lagging registry data are completed. CLINICALTRIAL Not applicable


2021 ◽  
Author(s):  
Shanzun Wei ◽  
Lisha Jiang ◽  
Xiaoyan Meng ◽  
Xi Wen ◽  
Xiangfu Zhou

BACKGROUND In December 2019, few cases of pneumonia were reported outbursting in the city Wuhan, Mainland China and soon became a global pandemic. With the vaccination approval in Mainland China, concerns over its safety and efficacy emerged. Since the Chinese Vaccine has been promoted by the Chinese government for months, and just got emergency approval from the World Health Organization. The Chinese vaccination program is yet to be identified from the perspective of local populations. OBJECTIVE To examine the perception, complaints, and inquiries related to the current vaccination program to identify public concerns or hesitancy with the leading search engine in Mainland China. METHODS The COVID-19 Vaccine related keywords were examined and queried on Baidu Index for the period 2019.01–2021.04. The searching popularity of each keyword was recorded to analyze the search trend and demographic distributions. Data of demand graph and trend data used for users' demand analysis. Daily Vaccination data were retrieved from the daily government report since 2021,03. RESULTS Seventeen vaccination keywords were retrieved and with a total BSI value of 13,708,853. The first vaccine enquiry emerged on 25th January 2020, and the searching trend APC is 21.05% (p < .05). With reference to the government announcement, the coefficient of correlation (r) values is 0.38 (p < .05). As to the age distribution, 39.22% of the search were from people aged 20-29 years and dominated the vaccine enquiry. Followed are the 33.00% from aged 30-39 yr, 14.34% from aged 40-49 yr, 9.27% from aged under 19 yr and 3.88% from aged over 50 yr. In the user demand section, the total valid BSI of the vaccine demand terms were 3,843,325,561. Over 54.93% of the demand term search were pandemic relevant, and the summed vaccine demand ratio was 44.79%. CONCLUSIONS The rising search population in COVID-19 Vaccination revealed elevating public interest and focus. Vaccine education programs and materials should be designed for teens and people aged above the 40s. Complaints and symptoms describing inquiries were low, but vaccine-related birth safety should be alerted and further investigated. CLINICALTRIAL Not applicable


2020 ◽  
Author(s):  
Shanzun Wei ◽  
Changjing Wu ◽  
Ming Ma ◽  
Botao Yu ◽  
Hailun Zhang

BACKGROUND Premature ejaculation (PE) is one of the most complained sexual dysfunctions both in China and worldwide. Although the booming online healthcare service and information are attracting increasing numbers of patients and users in mainland China, the quality and reliability of PE related information available online are yet disseminated. OBJECTIVE To assess the quality of information regarding premature ejaculation (PE) videos on top video websites in China. METHODS The iQiyi (https://www.iqiyi.com/), QQ video (https://v.qq.com), Youku (https://www.youku.com), MGTV (https://www.mgtv.com), Bilibili (https://www.bilibili.com), Sohu (https://tv.sohu.com), CCTV (https://v.cctv.com), LeTV (http://www.le.com), PPTV (https://www.pptv.com), 56.com (http://www.56.com) were searched in March 2020 for the search term premature ejaculation. All available videos were triaged for inclusion, and two reviewers independently evaluate the videos using GSQ scores for quality and DISCERN tools for their content reliability. All data were analyzed by SPSS software. RESULTS PE related content is not available on all websites. Some websites strictly restrict sex-related content regardless if it aims to provide healthcare information. Of the 577 discovered videos, 416 videos were excluded for been irrelevant (n = 123), poor quality (n = 15), VIP accessible (n = 22), false advertisement (n = 76) and duplication (n = 180). In the include videos ,99 (61.5%) were described as reliable, and 62 (38.5%) as nonreliable. The assessed agreement was positive (kappa index = 0.894), and the calculated intraclass correlation coefficient was 0.963 for DISCERN and 0.902 for GSQ scoring. The recorded length of reliable and nonreliable videos was equivalent (3.16 ± 3.29 min VS 3.50 ± 3.50 min, P=0.54), but the DISCERN score between reliable and nonreliable videos were 2.92±0.72 and 1.23±0.68 (P<0.001), GSQ scores are 3.19±0.99 and 0.58±0.82 (P<0.01).Videos exposure rate is not analyzable for data such as uploading data, and video views are not available in some of these websites. Some websites topped the most reliable healthcare education content provided by medical social media. CONCLUSIONS The resources of Chinese video websites vary greatly. Users who search for PE related information need to choose the right network platform and select better-produced videos. Many professional medical professionals have participated in video production. With the growing number of videos, efforts need to be stressed on content reviewing and evaluation framework establishment.


2020 ◽  
Author(s):  
Teng Wang ◽  
Baojie Li ◽  
Xinqing Zou

&lt;p&gt;&lt;strong&gt;Emission of primary microplastics in mainland China: Invisible but not Negligible&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Teng Wang &lt;sup&gt;1,3&lt;/sup&gt;, Baojie Li &lt;sup&gt;2,3*&lt;/sup&gt; , Xinqing Zou&lt;sup&gt;3*&lt;/sup&gt;&lt;/p&gt;&lt;p&gt;&lt;sup&gt;1&lt;/sup&gt; College of Oceanography, Hohai University, Nanjing, 210098&lt;/p&gt;&lt;p&gt;&lt;sup&gt;2&lt;/sup&gt; School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044&lt;/p&gt;&lt;p&gt;&lt;sup&gt;3 &lt;/sup&gt;School of Geography and Ocean Science, Nanjing University, Nanjing, 210023&lt;/p&gt;&lt;p&gt;&amp;#160;&amp;#160;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstract: &lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Primary microplastics are mostly produced as part of the daily plastic product use. The emission process is often invisible but poses potential ecological hazards. Thus, primary microplastics deserve public attention. Due to China's huge population base and its rapid economic development, primary microplastics emissions are of both regional and global significance. This study is the first to establish the emission inventory of primary microplastics in mainland China. It was estimated that the primary microplastic waste from mainland China amounts to 737.29 Gg, and one-sixth of this amount entered the aquatic environment in 2015. The highest proportion of this waste was attributable to tire dust and synthetic fiber, accounting for 53.91% and 28.77% of the total respectively, in mainland China. The primary microplastics emissions mainly depend on the population, followed by the level of economic development. It was roughly estimated that 538 g of microplastics is produced by each person in China. At the grid scale, the spatial difference in the total primary microplastics emissions in mainland China primarily depends on the population density distribution and transportation network. We studied the entire life cycle of several sources of microplastics, from production to discharge into the aquatic environment. We suggested different control measures under different nodes. Increasing microplastics treatment in sewage treatment plants should be a short-term viable way to achieve some measure of reduction in their entry to the environment in mainland China. Our research can not only raise public awareness about primary microplastics, but can also guide the development of environmental policies to reduce plastic pollution.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&amp;#160;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords:&lt;/strong&gt; Primary microplastics; Emission inventory; Mainland China; Sewage treatment plants&lt;/p&gt;


2020 ◽  
Author(s):  
Cai-Xia Lv ◽  
Shu-Yi An ◽  
Bao-Jun Qiao ◽  
Wei Wu

Abstract Background: Hemorrhagic fever with renal syndrome is still attracting public attention because of its outbreak in various cities in China. It is one of the effective preventive measures to predict the peak incidence rate in the future based on the past incidence data, and implement targeted actions. In this study, we propose a multi-step prediction strategy based on XGBoost for hemorrhagic fever with renal syndrome as an extension of the one-step prediction model. Moreover, the fitting and prediction accuracy of XGBoost model will be compared with seasonal ARIMA model by different evaluation indicators. Methods: We collected monthly hemorrhagic fever with renal syndrome incidence data from 2004 to 2018 in mainland China .The part from 2004 to 2017 was divided as training set to establish the seasonal ARIMA model and XGBoost model. The rest 2018 data was used to test the prediction outcomes. In multi-step forecasting XGBoost model, one-hot encoding was used to handle seasonal features. Furthermore, series of evaluation index(MAE,MPE,MAPE,RMSE,MASE, ACF1, Theil’s U) were performed to evaluate the accuracy of multi-step forecast XGBoost model.Results: There were totally 200237 HFRS cases in China from 2004 to 2018. A slightly long-term downward trend and obvious bimodal peak seasonal character were identified in the original time series. According to the minimum CAIC value, the optimal ARIMA (3,1,0) × (1,1,0)12 model is selected. the ME , MAE, MPE, MAPE, MASE of XGBoost were higher than ARIMA model in the fitting part, whereas the RMSE of XGBoost was lower. The evaluation indicators (MAE, MPE, MAPE, RMSE , MASE) of the one-step prediction and multi-step prediction XGBoost model are all notably lower than the ARIMA model in prediction performance. Conclusions: The multi-step prediction XGBoost model showed a much better prediction accuracy and model stability in HFRS disease . In general, compared to the seasonal ARIMA model, the XGBoost model performs better when predicting complicated and non-linear data like Hemorrhagic fever with renal syndrome. Additionally Multi-step prediction models are more practical than one-step prediction in forecasting infectious diseases.


Author(s):  
Toshihiko Takita ◽  
Tomonori Naguro ◽  
Toshio Kameie ◽  
Akihiro Iino ◽  
Kichizo Yamamoto

Recently with the increase in advanced age population, the osteoporosis becomes the object of public attention in the field of orthopedics. The surface topography of the bone by scanning electron microscopy (SEM) is one of the most useful means to study the bone metabolism, that is considered to make clear the mechanism of the osteoporosis. Until today many specimen preparation methods for SEM have been reported. They are roughly classified into two; the anorganic preparation and the simple preparation. The former is suitable for observing mineralization, but has the demerit that the real surface of the bone can not be observed and, moreover, the samples prepared by this method are extremely fragile especially in the case of osteoporosis. On the other hand, the latter has the merit that the real information of the bone surface can be obtained, though it is difficult to recognize the functional situation of the bone.


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