Public Health Policy Makers Research Articles

The Impact of Human Cystic Echinococcosis in the Central Asian Region, 1990-2019.

This research aims to update knowledge on the regional and national sickness burden attributable to cystic echinococcosis (CE) from 1990 to 2019, as well as epidemiology and disease control, with a particular emphasis on the People's Central Asian Regions. We calculated the morbidity, mortality, and disability-adjusted life years at the global, regional, and national levels for CE in all central Asian countries from 1990 to 2019, and we analyzed the association between GDP per capita and the disease burden of CE. In 2019, the three greatest numbers of CE cases were recorded in Kazakhstan [23986; 95% uncertainty interval (UI); 19796; 28908]; Uzbekistan (41079; 18351; 76048); and Tajikistan (10887; 4891; 20170) among all 9 countries. The three countries with the greatest ASIR of CE were estimated to be Kazakhstan (127.56; 95% UI: 105.34-153.8), Uzbekistan (123.53; 95% UI: 58.65-219.16), and Tajikistan (121.88; 58.57-213.93). Kyrgyzstan, Tajikistan, and Uzbekistan had the biggest increases (125%, 97%, and 83%, respectively) in the number of incident cases of CE, whereas Georgia, Kazakhstan, and Armenia saw the largest decreases (45%, 8%, and 3%, respectively). To reduce the illness burden caused by CE, our findings may help public health professionals and policymakers design cost-benefit initiatives. To lessen the impact of CE on society, it is suggested that more money be given to the region's most endemic nations. Echinococcosis, cystic, negative health effects, life-years lost due to disability, rate of occurrence as a function of age, rate of death as a function of age.

Engaging Communities in Emerging Infectious Disease Mitigation to Improve Public Health and Safety.

The COVID-19 pandemic highlighted the need for potent community-based tools to improve preparedness. We developed a community health-safety climate (HSC) measure to assess readiness to adopt health behaviors during a pandemic. We conducted a mixed-methods study incorporating qualitative methods (e.g., focus groups) to generate items for the measure and quantitative data from a February 2021 national survey to test reliability, multilevel construct, and predictive and nomologic validities. The 20-item HSC measure is unidimensional (Cronbach α=0.87). All communities had strong health-safety climates but with significant differences between communities (F = 10.65; p<0.001), and HSC levels predicted readiness to adopt health-safety behaviors. HSC strength moderated relationships between HSC level and behavioral indicators; higher climate homogeneity demonstrated stronger correlations. The HSC measure can predict community readiness to adopt health-safety behaviors in communities to inform interventions before diseases spread, providing a valuable tool for public health authorities and policymakers during a pandemic.

Health Equity Factors and Healthcare-Associated Infections in Louisiana Facilities, 2022

Background: Health equity is a critical consideration in public health research, emphasizing the importance of fair and just access to healthcare resources. This study explores the impact of health equity factors on the incidence rates of Central Line-Associated Bloodstream Infections (CLABSI) and Methicillin-Resistant Staphylococcus aureus (MRSA) across diverse healthcare facilities in Louisiana. Methods: We conducted a comprehensive analysis utilizing 2022 data from the National Healthcare Safety Network (NHSN). Fourteen healthcare facilities were randomly selected from nine regions in Louisiana, with guidance from the 2022 NHSN external validation toolkit. Key health equity factors from Health Resources and Service Administration (HRSA) were assessed, including urbanicity, MUA/P, and HPSA_Primary Care. Risk ratios were calculated to quantify the association between these health equity factors and the incidence rates of CLABSI and MRSA. Results: The findings reveal intriguing insights into the relationship between health equity factors and infection rates. In urban settings, the risk of CLABSI was lower (Risk Ratio: 0.634, 95% CI: 0.2442–1.646), contrasting with a significantly higher risk of MRSA (Risk Ratio: 1.7, 95% CI: 1.119–2.582). This suggests a complex interplay between urbanicity and the specific infection types. For MUA/P, no significant impact on CLABSI rates was observed (Risk Ratio: 0.963, 95% CI: 0.4225–2.195), but an increased risk of MRSA emerged (Risk Ratio: 1.652, 95% CI: 1.029–2.652). In healthcare professional shortage areas for primary care (HPSA_Primary Care), both CLABSI (Risk Ratio: 1.37, 95% CI: 0.5854–3.204) and MRSA (Risk Ratio: 2.098, 95% CI: 1.305–3.372) exhibited elevated risks, though only MRSA risk was statistically significant. Conclusions: This research underscores the nuanced relationship between health equity factors and infection rates in healthcare facilities. Urban settings may contribute to a lower risk of CLABSI but a higher risk of MRSA, emphasizing the need for tailored preventive strategies. Living in medically underserved areas appears to heighten the risk of MRSA, warranting targeted interventions. Additionally, healthcare professional shortage areas for primary care demonstrate potential associations with increased risks for both CLABSI and MRSA. These findings provide valuable insights for public health practitioners, policymakers, and healthcare administrators aiming to address health disparities and enhance infection control measures in diverse healthcare settings. Further research is encouraged to unravel the multifaceted dynamics influencing infection rates and to inform targeted interventions for improved health outcomes.

Identification of Priorities for Colorectal Cancer Screening Interventions Among US Hispanic/Latino Populations.

Objectives. To identify nationwide census tract‒level areas where improving colorectal cancer (CRC) screening uptake via targeted local preventive intervention may benefit Hispanic or Latino/a (H/L) groups defined by region or country of origin. Methods. Using 2021 Centers for Disease Control and Prevention PLACES and American Community Survey data, we applied geographically weighted regression and Getis-Ord Gi* hot spot procedures to identify CRC screening priority zones for H/L groups in the United States. Priority zones can be conceptualized as census tracts with strong inverse associations between percentage of a particular H/L group in the population and CRC screening rate, after adjusting for socioeconomic deprivation and lack of insurance. Results. We identified 6519, 3477, 3522, 1069, and 1424 census tract CRC screening priority zones for H/L communities of Mexican, Puerto Rican, Central/South American, Dominican, and Cuban heritage, respectively. Priority zones for H/L groups had strong spatial heterogeneity, and overlap of geographic patterns among H/L groups varied by region. Conclusions. Our findings and interactive web map may serve as a translational tool for public health authorities, policymakers, clinicians, and other stakeholders to target investment and interventions to increase guideline-concordant CRC screening uptake benefitting specific H/L communities in the United States. (Am J Public Health. 2024;114(S6):S515-S524. https://doi.org/10.2105/AJPH.2024.307733) [Formula: see text].

Examining Asian Parents' Perspectives and Challenges in Sexual and Reproductive Health Education with Implications for Public Health: A Systematic Review.

In Asian cultures, discussing sexual matters with adolescents is often considered taboo and culturally or religiously sensitive. Due to a lack of knowledge and skills, many parents find approaching such a topic with their children challenging, fearing that raising such an issue will bring concerns about encouraging promiscuity. This systematic review aims to assess evidence on Asian parents' perspectives and practices regarding delivering sexuality information to adolescents. It also seeks to identify the factors that facilitate or hinder the effective delivery of such knowledge. The electronic databases EBSCO-CINAHL, Scopus, and Science Direct were searched using keywords and synonyms such as "sexuality information," "sexuality education," "parent-child," "communication," and "Asian." The studies' quality was assessed using the Mixed-Method Assessment Tool. A comprehensive database search identified 1392 potentially relevant literature sources for this review. Following the application of inclusion criteria, a final set of 16 eligible full-text research articles was selected for inclusion in the review. In most quantitative literature, parents were found to have a good level of knowledge, whereas most qualitative studies reported the opposite, indicating inadequate knowledge. Seven studies highlighted the cultural denial of delivering regarding sexuality, whereas six studies emphasized the need for parental support. Negative experiences, including discomfort, shyness, embarrassment, fear of intimidation, and fearful encounters, were reported in the literature. In conclusion, this review aims to pinpoint gaps and challenges in the delivery of sexuality education among Asian parents, offering valuable insights for public health practitioners and policymakers.

Key considerations in the adoption of Artificial Intelligence in public health.

The integration of Artificial Intelligence (AI) into public health has the potential to transform the field, influencing healthcare at the population level. AI can aid in disease surveillance, diagnosis, and treatment decisions, impacting how healthcare professionals deliver care. However, it raises critical questions about inputs, values, and biases that must be addressed to ensure its effectiveness. This article investigates the factors influencing the values guiding AI technology and the potential consequences for public health. It outlines four key considerations that should shape discussions regarding the role of AI in the future of public health. These include the potential omission of vital factors due to incomplete data inputs, the challenge of balancing trade-offs in public health decisions, managing conflicting inputs between public health objectives and community preferences, and the importance of acknowledging the values and biases embedded in AI systems, which could influence public health policy-making.

Role of Social Determinants in Reshaping the Public Health Policies: A Comprehensive Study

This comprehensive study delves into the pivotal role of social determinants of health (SDOH) in shaping public health policies. Social determinants encompass a wide range of social, economic, and environmental factors that significantly influence health outcomes and disparities. By analyzing the intricate interplay between social determinants and public health policies, this study aims to elucidate the mechanisms through which societal factors influence population health and well-being. Drawing upon empirical evidence, case studies, and critical analysis, the study explores the impact of social determinants on health disparities, health behaviors, healthcare access, and quality. Furthermore, it examines the challenges and barriers in addressing social determinants within public health policy frameworks, including systemic inequalities and data measurement issues. The study also identifies strategies for integrating social determinants into public health policies, including policy recommendations, collaborative approaches, and community empowerment initiatives. Ultimately, this study underscores the imperative of adopting a socioecological approach to public health policymaking, one that recognizes and addresses the underlying social determinants to promote health equity and improve population health outcomes. Keywords: Social Determinants, Reshaping, Public Health Policies, Comprehensive Study

SUSTAINABLE COVID-19 CONTROL MEASURES: A MATHEMATICAL MODELLING STUDY

Mathematical modelling techniques have become essential in predicting the consequences of viral disease outbreaks and in planning sustainable preventative measures to curb their transmission dynamics. To better understand the sustainable evolution of the control measures’ impacts on COVID-19 transmissions, a reaction-diffusion system is employed to describe the epidemiological phenomenon through two processes: (i) A reaction process of SEIRS-type (Susceptible, Exposed, Infected, Recovered, and Susceptible) kinetics; and (ii) a diffusion process that models local dispersal of individuals through the incorporation of spatial dimension. Optimal control theory and numerical simulation studies are performed to examine the combined effects of reinfection, spatial dispersal process, and distinct control measures on the severity of the outbreaks. The results indicate the effectiveness of implementing adequate control measures vaccination and treatments to prevent further disease outbreaks and minimise the number of infected cases. The insights from these modelling studies benefit different stakeholders, e.g., public health practitioners and policymakers in devising sustainable COVID-19 management plans to prepare for endemicity and deal with large-scale disease outbreaks in the future.

BMI moderates the relationship between depression and chronic obstructive pulmonary disease: A cross‑sectional survey

BackgroundPrior research has established a connection between depression and chronic obstructive pulmonary disease (COPD). However, the influence of age and BMI on this association remains unclear. ObjectivesWe used the National Health and Nutrition Examination Survey (NHANES) database to explore the relationship between depression and COPD, and to investigate whether age and Body mass index (BMI) act as moderators in this relationship. MethodsWe analyzed data from 10,940 participants in the NHANES database. Depression served as the independent variable. COPD status served as the outcome variable. We employed multivariable logistic regression to examine the relationship between depression and COPD. ResultsOf the 10,940 respondents surveyed, about 3.9 % had COPD and 8.5 % had depression. The prevalence of depression in COPD patients was significantly greater than the prevalence of overall respondents (21.1 % VS.8.5 %). We found that the association between depression and COPD was mediated by BMI status. Controlling for other covariates, the association between depression and COPD increased significantly. For the underweight group, the impact of depression on the risk of COPD was lower compared to the normal BMI group. ConclusionThis study confirms a significant association between depression and COPD, with BMI serving as a moderator. These findings enhance our understanding of the complex interplay between depression and COPD and underscore the importance of considering individual physical health characteristics in clinical assessments. The results have significant implications for clinical practice and public health policymaking.

A multi-scale analysis of the relationship between land surface temperature and PM2.5 in different land use types

The high land surface temperature (LST) and fine particulate matter (PM2.5) pose significant threats to urban ecological environment. LST and PM2.5 are closely related, and land use/cover change (LUCC) has a significant influence on them. However, there is a lack of multi-scale analysis of their relationship under the background of LUCC. Therefore, this study designed a multi-scale analysis framework, adopted the Pearson correlation analysis, bivariate Moran's I and coupling coordination degree (D) to examine the relationship between LST and PM2.5 in different land use types based on remote sensing data, and analyzed the influencing factors by Geodetector. The results showed that LST and PM2.5 have a positive correlation, and their correlation would decrease with the research scale expansion, with the absolute values of Moran's I ranging from 0.229 to 0.577, 0.415–0.754 and 0.551–0.852 at national, urban agglomeration and city scales, respectively. LST, PM2.5 and their correlation were lower in forest and water at the three scales, while they were the highest in construction land, and the difference in D values was about 0.3. Furthermore, the normalized difference vegetation index (NDVI) and construction land area played the most important role in spatial patterns of this relationship, followed by population and GDP. At last, the cost analysis of environmental pollution reduction was performed, and this study could provide support for proper public health policy-making and environmental protection in different regions.

Continuities and change in alcohol policy at the global level: a documentary analysis of the 2010 Global Strategy for Reducing the Harmful Use of Alcohol and the Global Alcohol Action Plan 2022–2030

BackgroundThere are only two major statements which define alcohol policy development at the global level. There has not been any comparative analysis of the details of these key texts, published in 2010 and 2022 respectively, including how far they constitute similar or evolving approaches to alcohol harm.MethodsPreparatory data collection involved examination of documents associated with the final policy statements. A thematic analysis across the two policy documents was performed to generate understanding of continuity and change based on comparative study. Study findings are interpreted in the contexts of the evolving conceptual and empirical literatures.ResultsBoth documents exhibit shared guiding principles and identify similar governance challenges, albeit with varying priority levels. There is more emphasis on the high-impact interventions on price, availability and marketing in 2022, and more stringent targets have been set for 2030 in declaring alcohol as a public health priority therein, reflecting the action-oriented nature of the Plan. The identified roles of policy actors have largely remained unchanged, albeit with greater specificity in the more recent statement, appropriately so because it is concerned with implementation. The major exception, and the key difference in the documents, regards the alcohol industry, which is perceived primarily as a threat to public health in 2022 due to commercial activities harmful to health and because policy interference has slowed progress.ConclusionsThe adoption of the Global Alcohol Action Plan 2022-30 potentially marks a pivotal moment in global alcohol policy development, though it is unclear how fully it may be implemented. Perhaps, the key advances lie in advancing the ambitions of alcohol policy and clearly identifying that the alcohol industry should not be seen as any kind of partner in public health policymaking, which will permit progress to the extent that this influences what actually happens in alcohol policy at the national level.

Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination

The COVID-19 pandemic exposed significant weaknesses in the healthcare information system. The overwhelming volume of misinformation on social media and other socioeconomic factors created extraordinary challenges to motivate people to take proper precautions and get vaccinated. In this context, our work explored a novel direction by analyzing an extensive dataset collected over two years, identifying the topics de/motivating the public about COVID-19 vaccination. We analyzed these topics based on time, geographic location, and political orientation. We noticed that while the motivating topics remain the same over time and geographic location, the demotivating topics change rapidly. We also identified that intrinsic motivation, rather than external mandate, is more advantageous to inspire the public. This study addresses scientific communication and public motivation in social media. It can help public health officials, policymakers, and social media platforms develop more effective messaging strategies to cut through the noise of misinformation and educate the public about scientific findings.

Evidence-based decision-making in a climate of political expediency: insights from local government

Aims: Local authorities in England are responsible for public health and health promotion. This article sought to explore how research and decision-making co-exist in a local authority in England. Methods: An Embedded Researcher was based within the local authority and used qualitative methodology to address the research aim. Interviews and focus groups were employed to ascertain a range of stakeholder views in the local authority. All transcripts were coded on NVivo 12 by the Embedded Researcher and two members of the research team cross-checked a sample for coding accuracy. Data were analysed using framework analysis. Results: The data suggest several barriers to using research to inform decision-making in health promotion and public health. The study shows that research is valued in local authorities, but not always privileged – this is due to cultural factors and practical political reasons which often means that decisions need to be made expediently. Participants outlined a juxtaposition between academic credibility; timeliness to complete the research and the financial cost associated with it; against the independence and credibility that independent academics could bring. Conclusion: Policy formulation and delivery is an integral aspect of health promotion and critical to achieving improved population health and reductions in health inequalities. However, there exists tensions between gathering research evidence and making research-informed decisions. The article concludes by advocating the use of Embedded Researchers to fully understand how research is gathered and used to support public health and health promotion policymaking.

What do secondary school pupils eat at school? The barriers experienced in collecting transactional data from canteen purchases.

Introduction &amp; BackgroundWelsh secondary schools generally use a cashless catering system and pupils pay for school food and drink via contactless cards, thumb or fingerprint biometric scanning. Helpfully, the digital footprint of school canteen purchase data already exists and is continually compiled over a limitless period. Compared to other methods of recording dietary intake (i.e., questionnaires and food diaries), utilising this transactional data is an unobtrusive method of data collection and has great potential. Although individual-level transactional data is being amassed, it remains unexploited by either the school, local authorities or Welsh Government. Obtaining this anonymised individual-level transactional data would provide immense insight into what pupils purchase throughout the school day. Objectives &amp; ApproachThe Welsh School Meals (WSM) project aimed to investigate the feasibility of using secondary school canteen transactional data to better understand what pupils purchase during the school day and its nutritional quality. Semi-structured interviews have been conducted with a representative from all cashless system providers (n=7) used in Welsh secondary schools. Next, the WSM project initially aimed to recruit nine secondary schools, with the methodological plan to: (i) liaise with head teachers; (ii) mine data; (iii) interview catering managers and head teachers; (iv) facilitate nutritional analysis; (v) conduct focus groups with pupils; and (vi) co-produce case studies. Relevance to Digital FootprintsSchool canteen transaction data is a form of digital footprint and utilising it to understand the current landscape of food and drink choices during the school day will inform Public Health policymakers and practice. ResultsDespite trying numerous strategies, the WSM project has encountered blockages which have prevented data acquisition. The four key stumbling blocks faced were: (i) identifying data providers; (ii) identifying data owners; (iii) data sharing; and, (iv) engaging stakeholders. Only the first barrier has been overcome and despite starting school recruitment in May 2023, the latter three barriers have stalled any progress. Conclusions &amp; ImplicationsExploiting existing cashless catering system technology to collect individual-level big data from school canteen transactions has enormous potential. However, the WSM project has concluded that obtaining this data was not feasible.

Analysis of public records of lobbying practices of the ultra-processed sugary food and drink industries in Chile: a qualitative study

Given the role of commercial determinants on sugar consumption and health, this study aimed to describe lobbying practices of the ultra-processed sugary food and drinks industries in Chile between 2014 and2022. Official meetings between ultra-processed sugary food and drinks industries and related commercial actors and Chilean government officials were obtained from the Chilean Lobby Registry. Relevant commercial names were initially identified based on their market share and expanded iteratively based on information from relevant meetings. Qualitative analysis followed a deductive-inductive approach using the Corporate Political Activity Model to identify and classify objectives, framing and action strategies. From 237 records identified, the Ministries of Health, Social Development, and Economy were the most frequently lobbied. Industry representatives sought to achieve their short- and long-term objectives by targeting a diverse range of authorities, including Ministers and Under-secretaries, using different strategies. Framing strategies focused on presenting sugary food and drinks industries as socially responsible and legitimate policy actors and criticised public health initiatives as 'bad solutions'. Action strategies aimed to influence policymaking and nurture corporate reputations. Extensive lobbying took place by the sugary food and drinks industries between 2014 and 2022, a period when major public health policies were being discussed in Chile. Lobbying strategies varied to meet industry objectives and targeted a diverse range of government institutions including high-ranking officials. Tighter regulations to stop inappropriate industry influence in public health policymaking are urgently required. Agencia Nacional de Investigación y Desarrollo (Chile)-PhD Scholarship. University College London-Open Access fees.

Progress Toward Tuberculosis Elimination and Tuberculosis Program Performance - National Tuberculosis Indicators Project, 2016-2022.

Elimination of tuberculosis (TB) is defined as reducing TB disease incidence in the United States to less than 1 case per million persons per year. In 2022, TB incidence in the United States was 2.5 TB cases per 100,000 persons. CDC's TB program developed a set of national TB indicators to evaluate progress toward TB elimination through monitoring performance of state and city TB program activities. Examining TB indicator data enables state- and city-level TB programs to identify areas for program evaluation and improvement activities. These data also help CDC identify states and cities that might benefit from technical assistance. The 5-year period for which the most recent data were available for each of five indicators: 1) overall TB incidence (2018-2022), 2) TB incidence among non-U.S.-born persons (2018-2022), 3) percentage of persons with drug susceptibility results reported (2018-2022), 4) percentage of contacts to sputum acid-fast bacillus (AFB) smear-positive TB patients with newly diagnosed latent TB infection (LTBI) who completed treatment (2017-2021), and 5) percentage of patients with completion of TB therapy within 12 months (2016-2020). The National TB Indicators Project (NTIP) is a web-based performance monitoring tool that uses national TB surveillance data reported through the National TB Surveillance System and the Aggregate Reports for TB Program Evaluation. NTIP was developed to facilitate the use of existing data to help TB program staff members prioritize activities, monitor progress, and focus program improvement efforts. The following five indicators were selected for this report because of their importance in Federal TB funding allocation and in accelerating the decline in TB cases: 1) overall TB incidence in the United States, 2) TB incidence among non-U.S.-born persons, 3) percentage of persons with drug susceptibility results reported, 4) percentage of contacts to sputum AFB smear-positive TB cases who completed treatment for LTBI, and 5) percentage of patients with completion of TB therapy within 12 months. For this report, 52 TB programs (50 states, the District of Columbia, and New York City) were categorized into terciles based on the 5-year average number of TB cases reported to National TB Surveillance System. This grouping allows comparison of TB programs that have similar numbers of TB cases and allocates a similar number of TB programs to each category. The following formula was used to calculate the relative change by TB program for each indicator: [(% from year 5 - % from year 1 ÷ % from year 1) × 100]. During the 5-year period for which the most recent data were available, most TB programs had improvements in reducing overall TB incidence (71.2%) and increasing the percentage of contacts receiving a diagnosis of LTBI who completed LTBI treatment (55.8%); the majority of programs (51.0%) also had improvements in reducing incidence among non-U.S.-born persons. The average percentage of persons with drug susceptibility results reported in most jurisdictions (28 of 52, [53.9%]) met or exceeded the 5-year national average of 97% (2018-2022). The percentage of contacts to sputum acid-fast bacillus (AFB) smear-positive TB patients with newly diagnosed latent TB infection (LTBI) who completed treatment increased in 29 of 52 (55.8%) jurisdictions from 2017 to 2021, signifying that, for most jurisdictions, steps have been taken to enhance performance in this area. The average percentage of patients with completion of TB therapy within 12 months was at or above the national average of 89.7% in approximately two-thirds (32 of 52 [61.5%]) of jurisdictions. This report is the first to describe a 5-year relative change for TB program performance. These results suggest that TB programs are making improvements in activities that help identify persons with TB and LTBI and ensure patients complete treatment in a timely manner. Use of NTIP data from individual TB programs enables a more detailed examination of trends in program performance and identification of areas for program improvement. Assessing indicator trends by TB program provides an opportunity to gain a better understanding of program performance in comparison to other programs. It can also facilitate communication between programs regarding successes and challenges in program improvement. This information is valuable for TB programs to allocate resources effectively and provide additional context on TB control for public health policymakers.

Machine learning identifies different related factors associated with depression and suicidal ideation in Chinese children and adolescents

BackgroundDepression and suicidal ideation often co-occur in children and adolescents, yet they possess distinct characteristics. This study sought to identify the different related factors associated with depression and suicidal ideation. MethodsA nationwide cross-sectional survey collected data from Chinese children and adolescents aged 8 to 18 (N = 160,962; 48.91 % girls). The survey included inquiries about demographics, depression, suicidal ideation, anxiety, perceived stress, academic burnout, internet addiction, non-suicidal self-injury, bullying, and being bullied. Fifteen machine learning algorithms were conducted to identify the different related factors associated with depression and suicidal ideation. Additionally, we conducted external validation on an independent sample of 1,812,889 children and adolescents. ResultsOur findings revealed seven related factors linked to depression and six associated with suicidal ideation, with average accuracy rates of 86.86 % and 85.82 %, respectively. For depression, the most influential factors were anxiety, perceived stress, academic burnout, internet addiction, non-suicidal self-injury, experience of bullying, and age. Similarly, anxiety, non-suicidal self-injury, perceived stress, internet addiction, academic burnout, and age emerged as paramount factors for suicidal ideation. Moreover, these related factors showed notable variations in their predictive capacities for depression and suicidal ideation across different subgroups. ConclusionAnxiety emerged as the predominant shared factor for both depression and suicidal ideation, whereas the other related factors displayed distinct predictive patterns for each condition. These findings highlight the critical need for tailored strategies from public mental health service providers and policymakers to address the pressing concerns of depression and suicidal ideation.

Viburnum: an overview in relation to risks of allergy

The genus _Viburnum_ L. (Adoxaceae, formally classified as Caprifoliaceae), contains approximately 163 species of high ecological value, distributed in the temperate and subtropical regions of the Northern Hemisphere and extending to the mountains of South America and Asia. Some species have been considered for contact sensitivity and the pollen allergenicity. The literature shows that some species can give contact hypersensitivity and _V. opulus_ can determine pollen allergy. The pratical implications of this research are destined to the public health practitioners and policymakers, the green desiners, and the public administrations: in fact, the specific knowledgements of the use of _Viburnum_ species in gardening can help to deduce some important considerations about the right destinations of the plants. In particular, in the case of school gardens, children’s green areas or sport areas, some species, as _V. opulus_, _V.plicatum, V. tinus, V. rhytidophyllum,_ wich cause dermatitis in the case of contact, should be avoid.

Deciphering the global landscape of breast cancer in 38 OECD countries from 1990-2019: A benchmarking global analysis.

1046 Background: Breast Cancer (BC) stands as the primary contributor to disability and the second leading cause of death among countries belonging to the Organization for Economic Cooperation and Development (OECD). A comprehensive cross-country analysis of BC is crucial to monitor the growing burden. Methods: Employing the global burden of disease framework, we have calculated the incidence, prevalence, mortality, disability-adjusted life years (DALYs), and years of life lost (YLL) attributed to BC, categorized by age, gender, year, and geographical location across the 38 OECD member countries. Results: The total number of BC cases has witnessed a notable increase, rising from 5.5 million (95%UI: 5.1-6) in 1990 to 9 million (8.2-9.8) in 2019. BC-related deaths have also risen from 172,148 (164,284-176,147) in 1990 to 214,458 (195,692-226,347) in 2019, while DALYs have increased from 4.6 (4.5-4.8) in 1990 to 5.1 (4.8-5.5) in 2019. The annual percentage change (APC) in incidence has surged by 59% (44-75%) from 1990 to 2019. The highest APC in age-standardized incidence rates was observed in South Korea at 150% (99-205), while the most substantial decrease was recorded in Switzerland at 3%. Regarding death rates, Japan saw an 11% increase, Costa Rica 10%, Mexico 9%, South Korea 8%, and Turkey 4%, whereas the remaining countries witnessed a decrease from 1990 to 2019. In terms of DALY rates, Mexico and Japan experienced a 10% increase, South Korea 5%, Turkey 3%, with the rest showing a decrease from 1990 to 2019. Males bore a higher burden compared to females, with an APC in total incidence of 109% versus 58%, deaths at 73% versus 24%, and DALYs at 57% versus 10% from 1990 to 2019. The highest overall burden was observed in the 70+ age group, while the &lt;70 and &lt;20 age groups exhibited a decreasing trend. The total number of deaths is projected to continue increasing. Conclusions: In 2019, BC accounted for 6.64% of all cancer-related deaths and 7.9% of DALYs among women. Based on these findings, low-resource countries should consider reallocating funding to combat this burden, and public health policymakers need to prioritize surveillance and early screening efforts.

Modelling the dynamic vaccination game with evolutionary feedback: exploring pairwise interactions and vaccine strategies.

A novel approach rooted in co-evolutionary game theory has been introduced to investigate how the interaction between human decision-making and the dynamics of the epidemic environment can shape vaccine acceptance during disease outbreaks. This innovative framework combines two key game concepts: the cooperation-defection game and the cost-benefit vaccination game. By doing so, it enables us to delve into the various factors that influence the success of a vaccination campaign amid an outbreak. Within this framework, individuals engage in a thorough evaluation of the risks, benefits and incentives associated with either cooperating by getting vaccinated or defecting by refusing the vaccine. Additionally, it involves a careful analysis of the costs and benefits linked to vaccine acceptance. The outcomes of this study stress the importance of two main factors: the effectiveness of the vaccine and the prevalence of a cooperative culture within society. This insight into the strategic interactions between individuals and their decisions about vaccination holds significant implications for public health policymakers. It equips to boost vaccination coverage and address vaccine hesitancy within society ultimately contributing to better public health outcomes during epidemic outbreaks.