Zinc supplementation is a critical adjunct therapy for managing acute childhood diarrhoea, particularly in low-income countries (LICs) and lower middle-income countries (LMICs). However, adherence to the recommended zinc regimen remains a major challenge, limiting its effectiveness in real-world settings. This systematic review and meta-analysis aimed to estimate the pooled adherence rates to zinc supplementation for diarrhoea in children under 5 and identify key determinants of adherence. A comprehensive search of PubMed, Embase, Scopus, Google Scholar, ProQuest, and CINAHL was conducted between 2000 and 2024. A total of 10 observational studies were included, with pooled adherence of 63.45% (95% CI: 51.62–75.28) for 10 days regimen and 34.58% (95% CI: 7.08–62.09) for 14 days regimen, along with high heterogeneity. Sensitivity analysis confirmed robustness of these estimates. Key factors associated with adherence included caregiver education, provider counselling, medication acceptability, and economic constraints related to caregiver buying capacity. Doi plot asymmetry suggested possible publication bias for 10 and 14 days regimen. Overall, adherence to zinc therapy remains sub-optimal, particularly for 14 days regimen compared to 10 days regimen. Targeted interventions addressing behavioural, provider, and formulation related barriers are urgently needed to optimize zinc adherence and improve diarrhoea outcomes globally.

We study sequential optimal stopping with partial reversibility. The optimal stopping problem is subject to implementation delay, which is random and exponentially distributed. Once the stopping decision is made, the decision maker can, by incurring a cost, call the decision off and restart the stopping problem. The optimization criterion is to maximize the expected present value of the total payoff. We characterize the value function in terms of a Bellman principle for a wide class of payoff functions and potentially multidimensional strong Markov dynamics. We also analyse the case of linear diffusion dynamics and characterize the value function and the optimal decision rule for a wide class of payoff functions.

In this study, HFRS data were obtained from China CDC and ECDC, while monthly meteorological data and GDP were extracted from the National Bureau of Statistics of China website. Descriptive epidemiology, time series decomposition, and spatial autocorrelation analyses were employed to evaluate HFRS incidence patterns. A spatial panel data model was used to estimate the effects of meteorological and socio-economic variables on HFRS incidence. The average annual incidence rate of HFRS was 0.90/100000 in China, compared to 29.3/100000 in Finland. The incidence level in China was comparable to that in Belgium and the EU/EEA (excluding the UK), the high-incidence age group was 45–64 years, which was similar to Finland and the EU/EEA. HFRS in China exhibited marked seasonality. Three north-eastern provinces, Shaanxi, Shandong, and Jiangxi reported higher incidence rates. After adjusting for spatial individual effects and spatial autocorrelation, HFRS incidence was negatively associated with precipitation during the same period, per capita GDP showed no significant effect on HFRS incidence. Continued surveillance and prevention of HFRS remain necessary in China, particularly in Shaanxi. Additional disease prevention and control efforts should be directed towards individuals aged 45–64 years during the high-risk period from October to December.

The generalised random graph contains n vertices with positive i.i.d. weights. The probability of adding an edge between two vertices is increasing in their weights. We require the weight distribution to have finite second moments, and study the point process $\mathcal{C}_n$ on $\{3,4,\ldots\}$, which counts how many cycles of the respective length are present in the graph. We establish convergence of $\mathcal{C}_n$ to a Poisson point process. Under the stronger assumption of the weights having finite fourth moments we provide the following results. When $\mathcal{C}_n$ is evaluated on a bounded set A, we provide a rate of convergence. If the graph is additionally subcritical, we extend this to unbounded sets A at the cost of a slower rate of convergence. From this we deduce the limiting distribution of the length of the shortest and longest cycles when the graph is subcritical, including rates of convergence. All mentioned results also apply to the Chung–Lu model and the Norros–Reittu model.

Candida auris has emerged as a major nosocomial pathogen due to multidrug resistance (MDR), outbreak potential, and high mortality in critically ill patients. Identifying risk factors for C. auris candidemia is essential for prevention and infection control. In this single-centre, retrospective case–control study, we analysed adults with C. auris candidemia (n = 52) and matched controls (n = 104) hospitalized between February 2019 and October 2024. Matching was based on hospital unit and blood culture timing. Clinical and epidemiological variables were compared, and multivariate logistic regression identified independent risk factors. Antifungal susceptibility and 14- and 28-day all-cause mortality were evaluated as secondary outcomes. Independent risk factors included recent hospitalization (odds ratio (OR): 7.93), prolonged hospital stay (OR: 1.01), prior broad-spectrum antibiotic use (OR: 46.20), central venous catheter (CVC) (OR: 3.88), sepsis (OR: 9.43), and high Candida Colonization Index (OR: 14.10). All-cause mortality at 14 and 28 days was 30.8% and 46.2%, respectively. Fluconazole resistance was 96%, while 8.7% of isolates were pandrug resistant. C. auris candidemia represents a serious clinical challenge with substantial mortality and modifiable risk factors. Strengthening antimicrobial stewardship, colonization surveillance, and early recognition in high-risk patients may reduce its impact.

The ongoing development of a Swiss Health Data Space (SHDS) presents an opportunity to transform health delivery and care by enabling large-scale secondary health research. The successful implementation of the SHDS depends on its trustworthiness, as public trust is closely linked to public participation in data-sharing initiatives. We conducted four focus groups across the German-, French-, and Italian-speaking regions of Switzerland to identify public expectations and requirements related to the attributes that define a trustworthy SHDS. The participants discussed four fictitious case studies on: (1) consent management; (2) record linkage via the national social security number; (3) national data coordination center; and (4) cross-border data exchange. To best inform Swiss policy, we held a panel discussion with patient experts and healthcare professionals to translate the focus group findings into governance and public communication recommendations. Policy recommendations are proposed based on insights from the fictitious case studies discussed with participants, accompanied by guidance on implementation measures that contribute to proactively building trust in the development of the SHDS. Communication recommendations are further provided, highlighting that the success of the SHDS will depend on early and continuous trustworthy public communication efforts that actively engage the Swiss public, address their concerns, and foster support throughout its development. Overarching these efforts will be a foundational governance approach that meaningfully involves relevant stakeholders and members of the Swiss public, while allocating appropriate responsibility to maintain trustworthiness of the SHDS.