Vaccines save millions of lives every year. They are recommended by experts, trusted by the majority of people, and promoted by expensive health campaigns. Even so, people with neutral attitudes are more persuaded by people holding anti-vaccine than pro-vaccine attitudes. Our analysis of vaccine-related attitudes in more than 140 countries makes sense of this paradox by including approaches from social influence. Specifically, we show that neutral people are positioned closer to anti- than to pro-vaccine people in the opinion space, and therefore more persuadable by them. We use dynamic social simulations seeded with vaccine survey data, to show how this effect results in a drift towards anti-vaccine opinions. Linking this analysis to data from two other multi-country datasets, we found that countries in which the pro-vaccine people are less associated to the neutrals (and so less able to influence them) exhibit lower vaccination rates and stronger increase in distrust. We conclude our paper by showing how taking social influence into account in vaccine-related policy-making can possibly reduce waves of distrust towards vaccination.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120185 | PMC |
http://dx.doi.org/10.1038/s41598-022-10069-3 | DOI Listing |
Cancer Control
January 2025
Cancer Prevention, Survivorship and Care Delivery (CPSCD) Research Program, Mayo Clinic Comprehensive Cancer Center, Jacksonville, FL, USA.
Objectives: Communication barriers, such as channels, comfort, and location, can negatively impact Black prostate cancer survivors' experiences and health outcomes after treatment. Addressing these barriers promotes a survivor-centric approach that views survivors as active partners in their care. This study explored the communication preferences of Black prostate cancer survivors, focusing on preferred channels, sources, and locations for enhanced quality of life.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Mechanical and Intelligent Systems Engineering, The University of Electro-Communications, Tokyo 1828585, Japan.
Recently, aerial manipulations are becoming more and more important for the practical applications of unmanned aerial vehicles (UAV) to choose, transport, and place objects in global space. In this paper, an aerial manipulation system consisting of a UAV, two onboard cameras, and a multi-fingered robotic hand with proximity sensors is developed. To achieve self-contained autonomous navigation to a targeted object, onboard tracking and depth cameras are used to detect the targeted object and to control the UAV to reach the target object, even in a Global Positioning System-denied environment.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Aerospace Engineering Department and Interdisciplinary Research Center for Smart Mobility and Logistics, and Interdisciplinary Research Center Aviation and Space Exploration, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
Artificial intelligence (AI) has recently made unprecedented contributions in every walk of life, but it has not been able to work its way into diagnostic medicine and standard clinical practice yet. Although data scientists, researchers, and medical experts have been working in the direction of designing and developing computer aided diagnosis (CAD) tools to serve as assistants to doctors, their large-scale adoption and integration into the healthcare system still seems far-fetched. Diagnostic radiology is no exception.
View Article and Find Full Text PDFSci Rep
January 2025
Electrical and Information Engineering College, Jilin Agricultural Science and Technology University, Jilin, 132109, China.
It is challenging to achieve high-speed and accurate multicooperation of turtle-inspired amphibious spherical robots (ASRs) in turbid water and confined spaces when the robots are underwater movement with multiple degrees of freedom (MDOF). This paper innovatively proposes a control strategy for modelling and experimental platforms that can communicate and cooperate between multiple robots. First, a novel underwater kinematic model using the unit quaternion (UQ) algorithm is proposed based on attitude interpolation to realize MDOF movement.
View Article and Find Full Text PDFAfr J Prim Health Care Fam Med
December 2024
Division of Rural Health (Ukwanda), Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; and, Department of Health Professions Education, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town.
Background: Interprofessional education (IPE) during undergraduate training (UGT) is considered important for new graduates to collaborate inter-professionally. There are, however, well-documented workplace challenges that hinder their involvement in interprofessional collaborative practice (IPCP) such as professional hierarchy, poor role clarification and communication challenges.
Aim: This article explores graduates' perceptions of the value rural undergraduate IPE had on their IPCP during their first year of work.
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