A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

[Using text mining to identify gap in acquired immunodeficiency syndrome related information dissemination between the official channel delivery and the needs of adolescents]. | LitMetric

[Using text mining to identify gap in acquired immunodeficiency syndrome related information dissemination between the official channel delivery and the needs of adolescents].

Zhonghua Yu Fang Yi Xue Za Zhi

Department of Child and Adolescent Health and Maternal Health, School of Public Health, Capital Medical University, Beijing 100069, China.

Published: June 2020

The study intends to identify gap in HIV/AIDS awareness dissemination between the official channel delivery and the needs of adolescents. We crawled all the HIV/AIDS queries from "Baidu zhidao" till June 11st, 2018. "Baidu zhidao" inquiry and information form official public service announcement (abbreviated for "official delivery" hereafter) were the data source for comparative analysis. We categorized the text data into four kinds, "prevention", "testing and treatment", "symptoms and infection" and "legalization and policies" according to official categorization. Word segmentation was used for text mining and word frequency statistics, as well word cloud was used for word frequency visualization (all based on a comparison after removing the useless words). Of the official delivery, the proportion of prevention category accounted for 32.3% (162) (ranks 1), and the proportion of legalization and policies category was 14.1% (71). While among the "Baidu zhidao" inquiry information, the proportion of testing and treatment category accounted for 51.7% (51 264), and the proportion of prevention category accounted for 11.4% (11 272). The frequencies of same terms/ repeated terms of two channels accounted for 60% (59.3%-63.9%) of each category among the official delivery, of which, the proportion of interest terms comparatively less and more diverse in "Baidu zhidao" inquiries. The proportion of the terms frequency of each category was about 45% in "prevention, testing and treatment", 34.3% (14 781) in "symptoms and infection" and 17.0% (5 744) in "legalization and policies", respectively. A big gap was identified between the available official source and inquiries' term, especially word frequency discrepancy between "legalization and policies" and "prevention" categories. It underscore the necessity for the official channel to address the needs and interests of adolescents in the future.

Download full-text PDF

Source
http://dx.doi.org/10.3760/cma.j.cn112150-20190816-00663DOI Listing

Publication Analysis

Top Keywords

"baidu zhidao"
16
official channel
12
"legalization policies"
12
word frequency
12
category accounted
12
text mining
8
identify gap
8
official
8
dissemination official
8
channel delivery
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!