The use of organophosphates and carbamates as herbicides and insecticides has a long history of nearly a century. However, their high toxicity and potential lethality have made them a common method for suicide, particularly in Morocco. Therefore, the objective of this study is to identify the determinants of this problem and assess their impact on patient outcomes. This is a retrospective study of all suspected cases of suicide by organophosphates and carbamates reported to the Moroccan Poison Control Center (MPCC) between January 1, 1980 and December 31, 2014, using the administrative division adopted in 1997. A total of 1943 cases were reported, comprising 1829 cases confirmed as suicide attempts and 114 as successful suicides. The Tadla-Azilal region was the most affected, accounting for 48

The COVID-19 pandemic has accelerated the adoption of digital technologies and exposed critical vulnerabilities in African healthcare systems. The growing prevalence of mobile phones and increasing digital literacy have created unprecedented opportunities for digital health innovation. This study aims to map scientific production and inter-African collaborations in digital health in Africa following the COVID-19 pandemic, addressing a gap in understanding the continent's digital health research landscape. A bibliometric analysis was conducted on Scopus using the PRISMA method for the period 2020–2025. Data collection employed a comprehensive search strategy, integrating digital health terms with African geographic identifiers. Following systematic screening, 710 articles were included. Publications grew rapidly between 2020 and 2022, predominantly in high-impact international journals such as the Journal of Medical Internet Research and JAMA Network Open, with the South African Medical Journal being the only prominent continental journal. Bibliometric mapping and thematic analysis identified three thematic clusters: (i) pandemic surveillance and its health impacts, (ii) telemedicine adoption and sociodemographic determinants, and (iii) artificial intelligence, machine learning, and social media applications in public health. These clusters illustrate the interdisciplinary and evolving nature of the field. Thematic mapping shows that COVID-19 and human-centered themes are central and highly developed, while Africa, South Africa, and machine learning remain emerging, indicating potential growth areas. These findings highlight the dynamic digital transformation of African health systems and underscore that strengthening these thematic clusters and investing in digital health technologies will be essential to enhance health resilience and preparedness for future public health challenges.

Epidemiological surveillance constitutes a critical foundation for health security in Africa, where endemic diseases and emerging pandemic threats demand innovative, context-adapted solutions. This bibliometric analysis systematically examines the evolution of technology-enhanced surveillance systems in Africa from 2014 to 2025. Using Scopus database and employing Bibliometrix package in RStudio, we analyzed 103 publications representing 5.7

Healthcare-associated infections (HAIs) represent a major global public health challenge due to their significant morbidity, mortality, and substantial economic burden. This study presents a comprehensive bibliometric analysis of the scientific literature at the intersection of healthcare-associated infections, epidemiological surveillance, and innovative technologies in hospital settings over the past decade. A corpus of 149 peer-reviewed articles published between 2014 and 2025 was systematically identified from Scopus using a targeted search strategy combining HAI terminology, surveillance concepts, and technological innovation terms. Analysis was conducted using R software and Biblioshiny, employing descriptive analysis, keyword co-occurrence network analysis, and factorial analysis to map the intellectual structure and thematic evolution of the field. Results reveal sustained growth in scientific production, peaking in 2023, coinciding with the COVID-19 pandemic. Three principal thematic clusters emerged: (1) traditional infection prevention and control practices centered on hand hygiene and protocol compliance; (2) digital transformation integrating electronic health records, artificial intelligence, and machine learning for surveillance optimization; and (3) microbiological approaches encompassing antimicrobial resistance and advanced genomic techniques including whole genome sequencing. Factorial and hierarchical cluster analyses confirm progressive convergence among conventional prevention practices, microbiological challenges, and computational innovations. The study demonstrates a paradigm shift from traditional prevention-focused approaches toward an integrated, interdisciplinary, and digitally-enabled surveillance framework. These findings provide valuable insights for researchers, funding agencies, and healthcare administrators to make evidence-informed decisions regarding research priorities and technology investments in HAI surveillance.

Burnout among healthcare professionals has become a major global occupational health concern, occurring in a context characterized by increasing workload intensity, growing organizational constraints, and recurrent health crises. Over recent decades, scientific research on this phenomenon has expanded substantially, resulting in a large and heterogeneous body of literature. A bibliometric analysis was conducted using publications indexed in the Scopus database. Articles addressing burnout among healthcare professionals were identified through a search strategy applied to titles, abstracts, and keywords. After applying inclusion criteria, a final corpus of 4,065 articles published between 1983 and 2025 was analyzed. Descriptive analyses, keyword frequency and co-occurrence analyses, thematic evolution analysis, and factor analysis were performed using the Bibliometrix package and the Biblioshiny interface in R. The findings highlight a marked growth in scientific output, with an exponential increase observed since 2020, largely attributable to the COVID-19 pandemic. The literature is structured around dominant themes related to burnout measurement, mental health, sociodemographic factors, and organizational determinants. Co-occurrence and factor analyses reveal three major conceptual clusters: a methodological and epidemiological cluster focused on burnout assessment and prevalence; an organizational and professional cluster addressing working conditions and professional categories; and a contextual and clinical cluster strongly shaped by health crises. Emerging themes include prevention strategies, leadership, qualitative approaches, and the increasing integration of digital technologies and artificial intelligence in burnout monitoring and prevention. This bibliometric analysis highlights a mature and multidimensional research field that has evolved from primarily descriptive approaches toward more preventive and intervention-oriented perspectives. The emergence of artificial intelligence–based solutions offers promising opportunities for early detection and personalized prevention of burnout among healthcare professionals.

The integration of artificial intelligence (AI) into vaccine-preventable disease surveillance represents a critical frontier in global health innovation. This bibliometric analysis examined 2,444 publications from Scopus (2010–2025) to comprehensively map this interdisciplinary domain. Using RStudio with the Bibliometrix package, we performed performance analysis and science mapping through keyword co-occurrence networks and thematic diagrams. The study aimed to: (1) map the intellectual structure of AI-vaccination research through keyword co-occurrence networks and thematic evolution; (2) analyze publication dynamics and citation impact patterns to assess field maturation; and (3) investigate the influence of major global health events on research priorities. Temporal analysis revealed three distinct developmental phases: nascent period (2010–2015) with minimal activity, maturation phase (2016–2019) establishing foundational methodologies, and transformation period (2020–2025) marked by exponential expansion from 250 to over 600 annual publications. Network analysis identified three interconnected research clusters: methodological core encompassing machine learning algorithms, epidemiological applications dominated by COVID-19 and vaccination strategies, and environmental health interface. Citation patterns showed extreme concentration with top publications exceeding 1,000 citations. Thematic mapping revealed a pre-paradigmatic field lacking motor themes, with foundational technologies awaiting fuller integration with domain-specific applications. The field has transitioned from exploratory research to sustained research priority, catalyzed by the COVID-19 pandemic but maintained through demonstrated utility. Future development requires methodological standardization, enhanced cross-domain integration, and establishment of best practices to optimize real-world impact on global vaccination programs.

Each year, many people suffer medical errors or lose their lives due to unsafe and poor-quality care. Most of these occurrences could be prevented. To date, most research on health security has focused mainly on health services' security in hospitals and has paid little attention to the context of primary healthcare, which represents the main means of achieving sustainable universal health coverage. This study falls within this perspective. Descriptive exploratory study, based on documentary analysis of health security studies in the context of primary healthcare, questionnaires and interviews, conducted with 300 professionals from primary healthcare establishments, following proportional stratified sampling. The main results revealed that, generally, the culture of safety in primary healthcare is poorly developed or even absent. More than 53% of respondents consider that the security level of primary healthcare is low. In addition, over 65% are unaware of errors that occur in their primary healthcare establishments. 40% declare the absence of a process for collecting and reporting medical errors or adverse effects related to healthcare. More than 60% of respondents consider that factors related to working conditions, daily tasks and organizational factors have a strong influence on healthcare safety. It is essential to improve healthcare safety and quality, which is an issue of global importance, and to act on several factors to reduce the incidence of adverse effects of care.

Snakebites are not solely caused by nature, as per certain African beliefs. This study aims to evaluate the treatment of snakebites in the Koulikoro region of Mali for a comprehensive understanding of the victims’ therapeutic journey. A cross-sectional survey was conducted to investigate households during April 1–June 30, 2022. Questionnaires were distributed to individuals who witnessed, provided assistance for, or were victims of snakebites in the rural municipalities of the Kati and Kangaba prefectures. The survey revealed 211 cases of snakebites, with men accounting for 72

Pesticide poisoning continues to be a significant public health issue in Morocco, causing considerable concern among the population. The objective of this study is to assess the completeness of pesticide poisoning surveillance in the Rabat-Salé-Kénitra region. We conducted an analysis of recorded pesticide poisoning cases in the Rabat-Salé-Kénitra region, utilizing data from two sources: The Moroccan Poison Control Center (MPCC) and the registers of provincial hospitals in the region. The two-source capture-recapture method was employed to estimate the total number of cases and evaluate the completeness of surveillance. During the study period, 937 cases of pesticide poisoning were identified by the two data sources. Out of these, 718 cases were reported to the MPCC, and 219 cases were documented in the hospital records of the region. After accounting for 16 duplicates, the capture-recapture method estimated a total of 9828 cases, revealing that 8907 cases of pesticide poisoning went unidentified by the two data sources. The completeness rate for reporting pesticide poisoning cases was estimated at 7.30

The present work is focused on the optimization of Cannabis sativa seed oil extraction using ultra-sound process at laboratory level. A central composite design (CCD), a widely used form of response surface methodology (RSM), was used to optimize C. sativa seed oil extraction yield, its total antioxidant capacity and DPPH scavenging ability. Three independent variables including extraction time (30, 60 and 90 min), liquid:solid ratio (5, 10 and 15 mL/g) and grinding time (30, 60 and 90 sec) were studied. A second order polynomial equation was used to express both the oil yield and the antioxidant activities, DPPH scavenging and total antioxidant capacity (TAC), as a function of independent variables. The desirability function was used to determine the operating conditions making it possible to maximize, at the same time, the three responses studied. Indeed, with an extraction time of 67.66 min, a liquid:solid ratio of 12.56 mL/g and a grinding time of 110 seconds, we obtained a yield of 24.21 % of oil with a DPPH scavenging ability of 88.5% and a TAC of 0.23 mg EAA/ g oil. The experimental values under optimal conditions were in good consistent with the predicted values.

Introduction:pleural tuberculosis, the second most common extrapulmonary manifestation after lymph node involvement, poses a considerable diagnostic and therapeutic challenge. This study examines the epidemiological, clinical, biological, and therapeutic features of pleural tuberculosis cases in Khémisset, a province in Morocco's Rabat-Sale-Kenitra region, which reports the country's second-highest tuberculosis incidence. Methods:this retrospective study examined the medical records of patients diagnosed with pleural tuberculosis at the Khémisset Diagnostic Center for Tuberculosis and Respiratory Diseases between 2016 and 2020. A multivariate logistic regression analysis was performed to identify the determinants associated with treatment failure. Results:over the five-year study period, 646 cases of pleural tuberculosis were recorded, representing 19.8% and 48.8% of all tuberculosis and extrapulmonary tuberculosis cases in our cohort, respectively. The mean patient age was 42 years (standard deviation 22.2), with a male predominance (59.4%, male-to-female ratio of 1.46). A bimodal age distribution was observed, peaking in young adults (20-44 years, 39.6%) and older individuals (>55 years, 34.6%). Geographically, cases were nearly evenly distributed between urban (49.7%) and rural (50.3%) areas. The majority (95.2%) were new pleural tuberculosis cases, while 4.2% had concurrent extrapulmonary or pulmonary tuberculosis involvement. Notably, HIV screening was performed in only 31.1% of cases, all of which yielded negative results. Treatment outcomes were favourable, with a therapeutic success rate of 84.4% and a mortality rate of 8%. Multivariate logistic regression analysis revealed the presence of an association of clinical forms significantly linked to an increased risk of failure. The adjusted model indicates an OR of 2.45 (95% CI: 1.02 - 5.88; P = 0.045). Conclusion:pleural tuberculosis accounts for 1 in 5 tuberculosis cases locally. Our study reveals that, despite high treatment success rates, a significant proportion of patients with pleural tuberculosis fail treatment, particularly those with mixed symptoms, especially if they have a combination of other forms of tuberculosis, which increases the risk of failure.

Introduction: This study examines the relationship between burnout and resilience among physicians and caregivers, aiming to determine whether the type of setting and demographic characteristics, such as gender and hospital hierarchy, have any impact. Methods: This multicenter cross-sectional study recruited 296 healthcare professionals through convenience sampling by self-administered questionnaires evaluating the Maslach Burnout Inventory and Connor-Davidson Resilience Scale. Data were analyzed using statistical methods, including correlation analysis and Multiple Correspondence Analysis (MCA). Results: From 158 valid responses, the mean scores for each scale were: EE at 28.44±12.90, DP at 9.96±6.47, and PA at 29.01±10.48; resilience was 23.78±7.71. All three had positive correlations with resilience. There were no significant differences in resilience or burnout between men and women. However, EE and PA were significantly correlated with male resilience, while all three burnout dimensions were associated with female resilience. Local hospitals reported higher mean scores for resilience and PA, whereas provincial hospitals exhibited elevated EE and DP scores. In regional hospitals, resilience was only associated with PA, whereas in provincial hospitals, it was correlated with both EE and PA. Conclusions: We found a high prevalence of burnout and inadequate resilience among healthcare professionals, underscoring the importance of considering these factors in the development of health policies and the implementation of preventive and remedial strategies.

Morocco’s rapidly growing older adult population poses major care challenges. This demographic shift requires a proactive response from the government and health authorities. They should adopt strategies focused on chronic disease prevention, co-morbidity, and the management of geriatric syndromes. This study describes this population’s socio-demographic, economic and health profile. The study aims to identify factors associated with their quality of life through a scoping review. The study is based on the PRISMA-ScR guidelines. The databases used to identify relevant articles (n = 24) published (in any language) until 1st September 2025 were Scopus, Web of Science, ScienceDirect and MEDLINE. Two investigators independently selected studies, extracted and analyzed data from studies involving Moroccan people aged 60 and over, focusing on their socio-demographic profile and the various dimensions of their quality of life. The analysis highlights significant issues among the older adult. First, illiteracy increases this population’s vulnerability by limiting access to information and health services, complicating their care. Second, chronic diseases severely affect their quality of life. They alter their physical capacity and lead to a loss of autonomy and dependence. Third, depression worsens health and contributes to a lasting sense of malaise. Finally, sexual function, although often neglected, remains a key factor associated quality of life, self-esteem and interpersonal relationships. The management of comorbidities complicates medical care, exacerbates existing health conditions, and negatively associated with the quality of life of older adults. These findings underscore the need for a multidisciplinary approach to improve both healthcare services and overall well-being in this population.

BackgroundVaccine hesitancy remains a significant challenge to public health efforts in combating COVID-19. This study aims to estimate the prevalence of vaccine hesitancy, booster dose uptake, and related drivers in young nursing students in Morocco.MethodsThis study was conducted as a cross-sectional investigation among nursing students at a training institute. Data on demographic characteristics, vaccination history, and perceptions regarding COVID-19 and vaccination were collected using a structured questionnaire. Statistical analyses identified the main determinants of vaccine hesitancy and the prevalence of the booster dose uptake.ResultsThe study found a vaccine hesitancy rate of 43.49% among participants. Despite 90.97% receiving the first dose, booster dose uptake remained alarmingly low at 6,87%. Women exhibited significantly higher hesitancy than men (p = 0.002), with 67.13% of women citing concerns about vaccine safety, compared to 24.6% of men. Additionally, individuals without comorbidities were more hesitant to vaccinate (p = 0.031), potentially reflecting a lower perceived severity of COVID-19. Concern about side effects (OR = 4.930, p = 0.031) and insufficient vaccine information (OR = 2.214, p = 0.035) were significant predictors of hesitancy. Interestingly, a positive association was observed between a history of seasonal flu vaccination and willingness to accept COVID-19 vaccination (OR = 0.464, p = 0.047).ConclusionsThe study highlights critical barriers to COVID-19 vaccination and booster dose uptake among nursing students from Morocco, emphasizing the need for targeted public health strategies. Addressing safety concerns, enhancing vaccine education, and promoting the benefits of booster doses are crucial to improving vaccination rates, especially in a context where emerging epidemics increasingly require immunization campaigns.

The objective of this study is to provide a bibliometric analysis of research in the field of connected health, focusing on the increasing role of Artificial Intelligence (AI) and Machine Learning (ML) in the era of Society 5.0. This analysis aims to identify dominant publications and themes, as well as the connections between these technologies and their healthcare applications, to better understand how they are poised to revolutionize clinical practices and decision-making processes. A corpus of 1866 articles, published between 2014 and 2024 and sourced from the Scopus database, was meticulously analyzed. Document selection was based on specific criteria, including keywords such as "artificial intelligence", "machine learning" and "smart healthcare" in titles, abstracts, and keywords, with publications limited to English-language articles. The bibliometric indicators employed include citation counts, the most influential journals, and keyword co-occurrence analyses. The choice of the Shiny App for Bibliometrix was strategically made to visualize co-occurrence networks and identify major thematic clusters effectively. The keyword co-occurrence analysis revealed several major thematic clusters, with primary clusters centered on terms like "artificial intelligence", "machine learning" and "health care". These clusters highlight the interconnection of themes and reveal closely related research areas, particularly the use of AI for health monitoring, intelligent diagnostics, and healthcare service optimization.

Background This study analyzes the effect of self-efficacy on perceived stress among experimental science teachers in public high schools in the city of Tetouan, Morocco. Methods We used two instruments in this cross-sectional study to measure perceived stress and self-efficacy rates among 258 participating teachers. The Perceived Stress Scale (PSS-10) assessed stress levels, while the Teacher Sense of Self-Efficacy Scale (TSES) measured selfefficacy across three dimensions: teaching strategies, student engagement, and classroom management. Results There is a significant correlation between teachers’ perceived stress and the three dimensions of the TSES. Age, years of teaching experience, number of classes taught, and regular physical activity were all significant indicators of reported stress. We found that weekly working hours and physical activity negatively influenced the level of self-efficacy. Conclusion These findings emphasize the pivotal significance of self-efficacy in diminishing stress and alleviating its detrimental consequences. Hence, it is imperative to prioritize the improvement of teachers’ psychological well-being. Bangladesh Journal of Medical Science Vol. 24 No. 02 April’25 Page : 433-439

E-health has emerged as a transformative innovation in healthcare, with significant potential to enhance oncology care through improved accessibility, care coordination, and patient-centered services. However, its adoption remains limited, particularly in resource-constrained settings like Morocco, due to various barriers. This study assessed the perceptions, attitudes, and experiences of oncology healthcare professionals in Morocco regarding e-health and identify key barriers to its integration. This was a cross-sectional study conducted using a structured survey administered to oncology professionals. The survey explored sociodemographic characteristics, professional perceptions, training, and practical experiences with e-health technologies. A total of 130 professionals participated, predominantly women, with an average age of 29.9 years. Most participants (95.4

Tuberculosis remains a major public health problem. In most cases, appropriate and correctly administered anti-tuberculosis treatment leads to recovery. However, the presence of certain factors increases the risk of relapses. This study aims to analyze the epidemiological profile of tuberculosis relapses and discuss the results of treatments at the tuberculosis diagnostic center in Khémisset, Morocco. A total of 274 cases of tuberculosis relapse were reported during the study period. The average age of patients was 44.7 years ±18.1. Of these patients, 65.3% were male, giving a male-to-female ratio of 1.9. Of the relapses, 21.9% were extrapulmonary and 78.1% were pulmonary, of these, 71.5% were confirmed bacteriologically. The treatment success rate was 74.3%, the death rate, 7.8%, 9% of patients were lost to follow-up, the failure rate, 4.1% and 3.4% of patients became drug-resistant. Integrating artificial intelligence into the diagnosis and monitoring of tuberculosis treatment could significantly enhance public health initiatives in the fight against the disease.