Human papillomavirus (HPV) is considered the second largest human carcinogen after tobacco and is responsible for 5% of all cancers, 10% of cancers in women, and 15% of all cancers in developing countries. Among these, cervical cancer is the most prevalent. An HPV vaccine has recently been developed to provide primary protection against the viral infection. In 2014, Brazil's National Immunization Program (Programa Nacional de Imunizações, PNI) started making a quadrivalent vaccine available to the public. However, after 2014, the vaccine coverage dropped and did not reach the PNI's targets. Among other factors, this low uptake was due to the quality of information on the Internet. Using Google Trends, the main search terms used to search for vaccine-related information on the Internet were identified. The content of the identified websites was analyzed using the DISCERN instrument and their reach was determined using their page authority score. Most of the texts analyzed were not of high quality. The data that most commonly reach the lay public are from sites that lack scientific rigor. We found a weak correlation between the DISCERN and page authority scores. Based on our analysis, we inferred that the information that reaches the user is not always the most accurate and can lead to harmful decisions on vaccination. The content that reaches the user most easily is not always of sound quality. New analyses are important, especially on the impact of social networks that present even fewer criteria in publications and are more easily accessible.
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http://dx.doi.org/10.1080/21645515.2022.2104571 | DOI Listing |
BMC Health Serv Res
January 2025
Logistics Education (LEED) at Kühne Foundation, Hamburg, Germany.
Background: To ensure the complete traceability of healthcare commodities, robust end-to-end data management protocols are needed for the supply chain. In Ethiopia, digital tools like Dagu-2 are used in the lower levels of the healthcare supply chain. However, there is a lack of information regarding the implementation status, factors, and challenges of Dagu-2, as it is a recent upgrade from the offline Dagu-1 application.
View Article and Find Full Text PDFJMIR Hum Factors
December 2024
Institute of History and Ethics in Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaningerstr. 22, Munich, 81675, Germany, 49 89 4140 4041.
Background: More clinical studies use social media to increase recruitment accrual. However, empirical analyses focusing on the ethical aspects pertinent when targeting patients with vulnerable characteristics are lacking.
Objective: This study aims to explore expert and patient perspectives on vulnerability in the context of social media recruitment and seeks to explore how social media can reduce or amplify vulnerabilities.
Sci Rep
January 2025
School of Electrical Engineering, Iran University of Science and Technology, Tehran, 1684613114, Iran.
Intelligent reflecting surfaces (IRS) are valuable tools for enhancing the intelligence of the propagation environment. They have the ability to direct EM Waves to a specific user through beamforming. A significant number of passive elements are integrated into metasurfaces, allowing for their incorporation onto various surfaces such as walls and buildings.
View Article and Find Full Text PDFSci Rep
January 2025
Biorobotics Laboratory, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015, Lausanne, Switzerland.
Despite their potential, exoskeletons have not reached widespread adoption in daily life, partly due to the challenge of seamlessly adapting assistance across various tasks and environments. Task-specific designs, reliance on complex sensing and extensive data-driven training often limit the practicality of the existing control strategies. To address this challenge, we introduce an adaptive control strategy for hip exoskeletons, emphasizing minimal sensing and ease of implementation.
View Article and Find Full Text PDFIEEE Robot Autom Lett
November 2024
Department of Mechanical Engineering, Columbia University, New York, NY, 10027, USA.; Department of Rehabilitation and Regenerative Medicine, Columbia University, New York, NY, 10027, USA.
Dynamic postural control during sitting is essential for functional mobility and daily activities. Extended reality (XR) presents a promising solution for posture training in addressing conventional training limitations related to patient accessibility and ecological validity. We developed a remote XR rehabilitation system with markerless motion tracking for sitting posture training.
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