Background: Malaria remains a significant public health challenge in Somalia, with varying prevalence influenced by environmental, demographic, and regional factors. Mogadishu, as a major urban center, presents unique malaria dynamics requiring localized data for effective control. This study analyzes malaria prevalence and testing patterns at Kalkaal Hospital, using gold standard diagnostic test microscopy and malaria rapid diagnostic tests, from January to October 2024. Methods: A retrospective analysis was conducted on malaria diagnostic records, including 11,497 tests performed at Kalkaal Hospital's hematology department. Data collected included test results, patient demographics, service settings (inpatient/outpatient), and department-specific testing patterns. Standard microscopy and malaria rapid diagnostic were employed for diagnosis. Statistical analysis assessed positivity rates and identified testing trends. Results: Out of 11,497 tests, 10 cases (0.087%) were confirmed positive, while 11,487 (99.913%) were negative. The outpatient department accounted for 80% of positive cases, with obstetrics and gynecology contributing the highest proportion (30%), followed by internal medicine/cardiology and pediatric services (20% each). The highest testing volumes were recorded in emergency (3,247 tests) and pediatric services (2,683 tests). Monthly data showed a peak in positive cases during January (6 cases) and April (2 cases), suggesting seasonal influences on malaria transmission. Conclusions: This study found an exceptionally low malaria prevalence in Mogadishu, reflecting low malaria infection rates in Mogadishu Somalia. This is in coherence with recent studies that suggest Mogadishu, Somalia, may be transitioning towards a non-malaria zone. However, the low positivity rate suggests potential overuse of malaria testing for febrile illnesses in this urban setting.

Introduction: The term behaviour encompasses other aspects outside the actions of the human mind and conscious behaviour. 1 There is a major departure from the usual in the pattern of behaviour that individuals exhibit. There are a variety of things that might have an impact on a child, including physical sickness, changes in the educational environment, changes in the family circle, peer pressure, and socioeconomic situation. In today's complicated culture, the family unit is the most important institution. The development of a child & social intelligence is significantly influenced by the members of the child's family. Aim: The study compares the behavioral patterns of single children and children with siblings aged 6-12 years in selected areas of Mohali, Punjab. Methodology: The research involved 120 children selected through disproportionate stratified random sampling. A modified Child Behavioral Rating Scale was utilized. Results: The study compared behavioural patterns of 50 single-child women and 50 children with siblings. Among single children, 41 (82%) showed an average level of behaviour, 6 (12%) good, and 3 (6%) poor. Similarly, 41 (82%) children with siblings had an average level, 5 (10%) good, and 3 (6%) poor. An unpaired ‘t’ test compared behavioural scores between the two groups in the 6–12 years age group. The mean score for children with siblings was 30.36 ± 7.179, while for single children it was 28.74 ± 7.464. The p-value was 0.271, indicating no significant difference between the two groups.

Early prediction of nurses’ turnover and turnover intention is essential to enhancing staff retention, ensuring job satisfaction, and maintaining the quality of patient care. This systematic review evaluated studies that used machine learning techniques to predict either actual nurse turnover or turnover intention, with the goal of identifying key predictive variables and assessing model performance. A comprehensive search was conducted across PubMed, CINAHL, Cochrane Library, PsycINFO, and Google Scholar, following PRISMA guidelines. Out of 596 records screened, eight studies met the inclusion criteria. These studies were appraised using the CASP Clinical Prediction Rule Checklist. The most frequently reported predictors were salary and age. While several models, such as Decision Tree and Random Forest, demonstrated high internal predictive accuracy, external validation was lacking across all studies, limiting generalizability. Future research should focus on validating models in diverse populations and healthcare settings and on improving standardization in outcome measures and reporting practices to enhance the applicability of predictive models in nursing workforce planning.

Involuntary hospitalization for the treatment of patients with psychiatric disorders is a necessity in modern scientific psychiatric practice. Hospitalization, in general, of the mentally ill is an important and complex issue. The purpose of this study is to investigate the attitudes and perceptions of nurses working in the psychiatric field regarding involuntary hospitalization. In order to achieve this, a questionnaire on "Attitudes and perceptions of nursing staff working in psychiatric clinics and psychosocial rehabilitation structures regarding involuntary hospitalization" was created as a research tool. Results were analyzed with the IBM Statistical Package for Social Sciences (SPSS), version 25.0. The results showed that the opinions of the respondents are consistent with those resulting from surveys, both in Greece and abroad. The majority agree with the process of involuntary hospitalization, while staff in psychiatric units are knowledgeable about the legislation governing this type of hospitalization. In conclusion, it is necessary to investigate the legal framework that governs involuntary hospitalization in Greece, as well as the conditions that prevail in the hospitals that accept such cases.