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The Gannet Optimization Algorithm (GOA) has good performance, but there is still room for improvement in memory consumption and convergence. In this paper, an improved Gannet Optimization Algorithm is proposed to solve five engineering optimization problems. The compact strategy enables the GOA to save a large amount of memory, and the parallel communication strategy allows the algorithm to avoid falling into local optimal solutions. We improve the GOA through the combination of parallel strategy and compact strategy, and we name the improved algorithm Parallel Compact Gannet Optimization Algorithm (PCGOA). The performance study of the PCGOA on the CEC2013 benchmark demonstrates the advantages of our new method in various aspects. Finally, the results of the PCGOA on solving five engineering optimization problems show that the improved algorithm can find the global optimal solution more accurately.

The localization problem of nodes in wireless sensor networks is often the focus of many researches. This paper proposes an opposition-based learning and parallel strategies Artificial Gorilla Troop Optimizer (OPGTO) for reducing the localization error. Opposition-based learning can expand the exploration space of the algorithm and significantly improve the global exploration ability of the algorithm. The parallel strategy divides the population into multiple groups for exploration, which effectively increases the diversity of the population. Based on this parallel strategy, we design communication strategies between groups for different types of optimization problems. To verify the optimized effect of the proposed OPGTO algorithm, it is tested on the CEC2013 benchmark function set and compared with Particle Swarm Optimization (PSO), Sine Cosine Algorithm (SCA), Whale Optimization Algorithm (WOA) and Artificial Gorilla Troops Optimizer (GTO). Experimental studies show that OPGTO has good optimization ability, especially on complex multimodal functions and combinatorial functions. Finally, we apply OPGTO algorithm to 3D localization of wireless sensor networks in the real terrain. Experimental results proved that OPGTO can effectively reduce the localization error based on Time Difference of Arrival (TDOA).

A Parallel and Compact version of the Sine Cosine Algorithm (PCSCA) is proposed in this article. Parallel method can effectively improve search ability and increase the diversity of solutions. We develop three communication strategies based on parallelism idea to serve different types of optimization function to achieve the best performance. Furthermore, compact method uses statistical distribution to represent the solutions, which can save memory space and energy of the digital device. To check the optimization effect of the proposed PCSCA algorithm, it is tested on the CEC2013 benchmark function set and compared to SCA, parallel compact Cuckoo Search (PCCS) algorithms. The empirical study demonstrates that PCSCA has improved by 50.1% and 5.6%, compared to SCA and PCCS, respectively. Finally, we apply PCSCA to optimize the position accuracy of sensor node deployed in 3D actual terrain. Experimental results show that PCSCA can achieve lower localization error via Time Difference of Arrival method.

Abstract This presentation will start with a 5 min short presentation of the communication module of the European Training Platform for the Health Sector of the EU project VIPROM highlighting the tools available and their relevance for daily clinical practice. This will be followed by a 40 min interactive case-based part (facilitators: Seija Parekh, Suvi Nipuli, Tuula Saarela) with a live demonstration and discussion on how to screen for domestic violence, how to ask the right questions and how to respond. This part will include case presentations, communication strategies in action, reflection and participant engagement. The session will be concluded with a 5 min Wrap-Up & Key Takeaways: a summary of key messages, recommended next steps and ways to apply the learning in different clinical and public health contexts will be presented.

Abstract Introduction In Italy, HPV vaccination coverage remains below the 95% target set by the National Vaccine Prevention Plan across all regions and sexes. Education and effective communication are essential to improve vaccine acceptance among adolescents. This study evaluated the effectiveness of different communication strategies-scientific information or techniques countering cognitive bias-on three outcomes in high school students: knowledge about HPV, vaccine hesitancy (VH), and propensity to attend sexual and reproductive health services (SRHS). Methods A 3-arm randomised controlled trial was conducted. High school classes were randomly assigned to control (no active communication), informative (Instagram page with scientific content), or bias (same content using techniques to counter present bias, information avoidance [IA], and gain-loss framing). All students completed a baseline (T1) and follow-up questionnaire (T2) after 3 weeks. Outcome variations were analysed with a difference-in-difference approach, adjusting for age, gender, and baseline values, considering class-level clustering. Differences by IA level were explored. Results Of 527 students at T1, 334 were included in the final analysis (mean age: 15.2 years; 74% female). At baseline, HPV knowledge was low (mean: 0.27), VH moderate (mean: 0.4), and 48% were likely to attend SRHS. No significant changes in knowledge or VH were observed overall. However, among students with low IA, the information group showed a significant VH reduction vs. control (-0.0798, p = 0.0052); among those with high IA, the effect reversed (+0.2572, p = 0.0003). The propensity to attend SRHS increased in the information group (+0.682 vs. control, p = 0.21) among students with low IA. Conclusions The findings stress the importance of tailoring communication to target audiences. Scientific information reduced VH only among adolescents with low IA, highlighting the need for differentiated strategies to increase vaccine uptake. Key messages • Integrating behavioural insights into vaccination campaigns can enhance relevance and impact among adolescent populations, especially when tailored to their cognitive and emotional profiles. • Information avoidance plays a key role in mediating adolescents’ responses to health communication and should be considered when designing strategies to reduce vaccine hesitancy.

Abstract   Burden of Disease (BoD) assessments provide comprehensive, comparable, and internally consistent estimates of the population health impact of diseases, injuries, and their associated risk factors. They allow for quantifying health loss using summary measures such as Disability-Adjusted Life Years (DALYs), enabling priority setting, resource allocation, and health policy development. As such, BoD methods have become an essential component of evidence-informed decision-making in public health, health systems planning, and beyond. Inspired by the Global Burden of Disease (GBD) study, initiated in the 1990s, several European countries have launched national BoD studies to complement global estimates with locally relevant data and context-specific insights. These initiatives seek to improve data ownership, strengthen health information systems, and better align BoD metrics with national policy needs. Despite variations in structure and scope, these studies share common goals and face similar methodological and translational challenges. This skills-building seminar will feature four of the most longstanding national BoD studies in Europe- Belgium, Netherlands, Germany, and Scotland-presenting their latest methodological innovations, key findings, and lessons learned. Although operating in diverse contexts, all have encountered challenges in effectively translating BoD results into actionable policy. Each has developed tailored strategies to bridge this gap, ranging from enhancing data quality and transparency to developing additional study components and designing effective dissemination and communication approaches. This skills-building seminar aims to build capacity among public health professionals, researchers, and policymakers, equipping them with practical tools and collaborative approaches to enhance the impact of BoD assessments in their respective contexts. Throughout the seminar, participants will have the opportunity to critically assess current practices, share experiences, and co-develop strategies for advancing national BoD studies. Key messages • National burden of disease studies provide locally relevant evidence that allows countries to inform policies and allocate resources based on their specific population health needs. • Effective knowledge translation - from methodological development to communication strategies - is critical for ensuring that burden of disease results drive real-world impact.

Cat swarm optimization (CSO) has been applied to a variety of fields because of the better capacity of searching for optimum and higher robustness. However, the poor convergency and larger memory consumption are still core defects, which restricts the efficiency of optimization to a larger extent. A new heuristic algorithm named Parallel Compact Cat Swarm Optimization (PCCSO) with three separate communication strategies and the concept of the compact are presented in this article. The advantage of PCCSO is not only reflected in enhancing the ability of local search, but also in saving the computer memory. The experimental results on CEC2013 benchmark functions demonstrate that the PCCSO is always superior to PSO, CSO, and improved CSO in getting convergent. Then, the PCCSO is applied to DV-Hop to effectively improve the localization accuracy of unknown nodes while also saving WSN memory. The experimental results based on PCCSO from the different number of sensor nodes also illustrate that the PCCSO-DV-Hop shows a lower localization error compared to other optimization algorithms based on DV-Hop.

Abstract The European Code Against Cancer, 5th edition (ECAC5), coordinated by the International Agency for Research on Cancer (IARC), provides up-to-date, evidence-based recommendations to support cancer prevention across the European Union. Building on the legacy of previous editions, the newly published 5th edition introduces new elements that reflect current scientific evidence and public health priorities, and the growing importance of structural and policy-level action. This presentation will introduce ECAC5 and provide an overview of the development process and innovations of the 5th edition. It will describe the collaborative, multidisciplinary approach taken to ensure scientific rigour, inclusiveness, communication strategies and contextual relevance that involved over 80 European experts. Among the key innovations in ECAC5, the introduction of policy-level recommendations is of particular importance. Additionally, ECAC5 pays greater attention to equity, and connects cancer prevention advice with broader noncommunicable disease prevention. These elements will be briefly presented in this session to provide participants with a comprehensive understanding of ECAC5's scope, structure, and relevance for public health practice and policy.

Abstract Background Social prescribing (SP) is a promising approach to address social problems within primary care. Migrant patients are often affected by social isolation, financial and housing instability and challenges navigating the welfare system. Despite its potential, few rigorous randomized controlled trials have evaluated SP effectiveness. To address this gap, we conducted a feasibility trial on SP in Germany. Methods We conducted a feasibility trial across nine GP practices. Adults aged ≥18 years old presenting with social problems were eligible. Study nurses conducted structured interviews at baseline, three and six months. Participants were randomized in a 2:1 ratio to either an intervention group (link worker sessions) or a control group (informational brochure listing local services). Results Language barriers were the predominant challenge to trial participation and link working engagement. Migrant patients unable to understand German-language consent materials were excluded, reflecting the lack of routinely available translation services. German-only interviews and sessions further limited accessibility. Cultural factors, such as religious obligations (e.g. mourning periods) and family-centred decision-making also influenced engagement. Nonverbal communication strategies and trust-building efforts were crucial for overcoming cultural barriers. Mistrust toward healthcare institutions and a sense social distance were common but could be mitigated through culturally sensitive, relationship-centred approaches. Conclusions Multiple barriers - including language, cultural norms and gaps in healthcare infrastructure - limit the impact of SP among migrants. While AI-based translation tools offer new opportunities, real-time interpretation and culturally adapted link worker models are crucial. System-level changes, including the integration of translation services and greater cultural competence, are essential to use the full potential of SP for migrant communities.

Abstract In Hungary, childhood vaccinations in the national immunisation program are mandatory, resulting in 99% coverage. However, uptake of non-mandatory adult vaccines has been low, with only 22% of individuals aged 65 and older receiving influenza vaccine in 2022. This gap may result from a lack of health communication about non-mandatory vaccines. The COVID-19 pandemic has further polarised public opinion, eroding trust in vaccines. Understanding the factors influencing vaccine confidence is crucial. This study investigates attitudes toward COVID-19 and influenza vaccines, focusing on differences in perception, the influence of misinformation, and trust in information sources. We conducted a cross-sectional telephone survey in May 2025, with a random sample of 1,500 adults. The questionnaire was based on the validated short form of the 7C model of vaccine readiness, supplemented with items addressing current and contextual issues. Among adults aged 60+ years, 40% reported they would have accepted a COVID-19 vaccine and 41% would have accepted an influenza vaccine in the 2024/2025 season. However, 25% and 35% of this age group, respectively, were not vaccinated despite visiting their general practitioner in the past 12 months, indicating missed opportunities for vaccination. Both vaccines’ acceptance was strongly associated with being male, older age, higher education, residence in the capital, but not other urban areas. COVID-19 vaccine acceptance was also correlated with having children under 18, while influenza vaccine acceptance showed a strong association with poorer self-reported health-a relationship not observed with COVID-19 vaccine acceptance. These findings suggest overlapping but distinct patterns of vaccine acceptance for COVID-19 and influenza, shaped by demographic and contextual factors. The results highlight the importance of addressing missed vaccination opportunities and developing tailored health communication strategies in the post-pandemic period.