Background: Ebola virus disease is an emergency situation in the area of international public health for which currently, there is no standard treatment. Thus, there is an essential need for awareness of individuals about the Ebola disease and consequently its prevention. Internet and health websites are considered a source of health information about certain diseases. Therefore, in this study, the credibility of Persian-language websites on Ebola is assessed.
Materials And Methods: The term "Ebola" was searched using the Yahoo, Google, and Bing search engines. The first 30 websites resulting from each search engine were studied. Persian language was a prerequisite for inclusion. Duplicate and inaccessible websites were excluded and 62 websites were retained for evaluation. These websites were manually assessed by the researchers. The research tool was HONcode official toolbar as well as the checklist set by the researchers based on the HONcode of Conduct tool. The data were analyzed using SPSS 18.0 software.
Results: None of the retrieved websites was officially approved by the HONcode of Conduct. Moreover, the manual evaluation showed that none of them had fully considered the eight criteria of HONcode. The results showed that most of the retrieved websites (62%) were commercial. The justifiability criterion had been considered in 89% of the studied websites, but the authority criterion had been considered by only 16% of the websites.
Conclusion And Recommendations: Regarding the poor reliability of Persian websites on the Ebola disease, and considering that Persian language people prefer to read the information in their native language, it is recommended that the authorized health organizations introduce reliable health websites in the Persian language. This will help them to take part in active healthcare decision-making and disease prevention. Moreover, it is necessary to educate people especially Persian language ones about the website evaluation tools, which can be used to assess the credibility of health websites before consuming the information on those websites.
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http://dx.doi.org/10.1186/s42506-019-0027-4 | DOI Listing |
Syst Rev
January 2025
Department of Psychosocial Science, University of Bergen, Bergen, Norway.
Sci Rep
January 2025
Department of Computer Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
In the contemporary era, grappling with the vast expanse of big data presents a formidable obstacle, particularly when it comes to extracting vital information from extensive textual sources. The constant influx of news articles from various agencies necessitates an enormous amount of time to digest comprehensively. A viable solution to address this challenge lies in the realm of automatic text summarization, which is a pivotal and intricate endeavor within the field of natural language processing.
View Article and Find Full Text PDFJ Voice
December 2024
Department of Speech Therapy, School of Rehabilitation Sciences, Hamadan University of Medical Science, Hamadan, Iran.
Objectives: This study aimed to translate and evaluate the psychometric properties of the Children's Voice Handicap Index-10 for Parents (CVHI-10-P) in Persian for assessing voice-related quality of life in Persian-speaking children.
Methods: The CVHI-10-P was translated into Persian and assessed for face and content validity by a panel of speech-language pathologists. The questionnaire was administered to 141 children aged 6-11 years, including 35 with voice disorders and 106 without.
PLoS One
December 2024
Department of Speech Therapy, Faculty of Rehabilitation Sciences, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Background: Speech-language pathologists (SLPs) in non-English speaking countries face challenges when assessing children for speech sound disorders (SSD). Exploring their clinical challenges in service delivery-along with their problem-solving approaches-may contribute to the development of instruments for clinical use in such settings.
Aim: The study aimed to explore assessment methods used by Iranian SLPs to identify children with SSD.
Disaster Med Public Health Prep
December 2024
Medical Surgical Nursing Department, Nursing school, Aja University of Medical Sciences, Tehran, Iran.
Objectives: This study evaluated the validity and reliability of the Persian version of the Disaster Resilience Measuring Tool (DRMT-C19).
Methods: The research was a methodological, psychometric study. Standard translation processes were performed.
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