The World Health Organization (WHO) Global Benchmarking Tool (GBT) classifies regulatory systems into four maturity levels, with Maturity Level 3 (ML3) signifying a stable and effective regulatory environment. As of January 2025, eight African nations—Egypt, Ghana, Nigeria, Rwanda, Senegal, South Africa, Tanzania, and Zimbabwe—have attained ML3 status, marking a significant milestone in the continent’s regulatory landscape. Achieving ML3 confers critical benefits, including reducing substandard and falsified medicines, which enhances public health safety and fosters trust in healthcare systems. This progress encourages local manufacturing, diminishing reliance on imported medicines and promoting economic development. Furthermore, ML3 NRAs are better equipped to address public health emergencies, enabling swift approvals for vaccines and therapeutics while upholding safety standards. Nonetheless, challenges persist, including fragmented regulatory systems, the prevalence of counterfeit medicines, and limited resources. Overcoming these hurdles necessitates enhanced organizational capacity, investments in training, and the promotion of collaboration among NRAs. There is an urgent call for greater political commitment and resource allocation to strengthen regulatory systems across Africa. Achieving and maintaining ML3 status is essential for enhancing medicine regulation, supporting local manufacturing, and improving public health outcomes across the continent. While progress has been made, sustained efforts are crucial to tackling existing challenges and harnessing the full potential of advanced regulatory frameworks.

Artificial intelligence (AI) is a rapidly evolving technology with transformative potential across many fields, including health. Interest in AI is growing globally, including in low- and middle-income countries (LMICs), but few studies have assessed the knowledge, experiences, and ethical practices of innovators in this space. This study aimed to assess the knowledge, experiences, challenges, and ethical practices of researchers and innovators, involved in AI-driven health research, to support the responsible integration of AI into health innovation. A cross-sectional, semi-quantitative online survey was conducted between February and May 2025 among health AI innovators in LMICs, primarily through the Grand Challenges network and its partners. Fifty respondents from 13 countries participated, the majority (92%) emphasized the importance of ethical principles, and 80% perceived AI-related ethical risks as greater than moderate. However, the majority of respondents (74%) were not sure about their competence in identifying and addressing the risks associated with AI practices and the same proportion reported having received no formal training in AI ethics. Respondents identified key challenges such as weak governance, limited ethics capacity, and risks of bias and data misuse. There was strong demand for training on ethics, bias mitigation, explainability, data governance, and privacy. The findings reveal an encouraging level of awareness but emphasize the need for formal training, clearer guidelines, and context-specific frameworks to ensure ethical AI development and deployment in health research.

Background: Antibiotic resistance (ABR) is a critical global health threat, disproportionately affecting low- and middle-income countries (LMICs) where systemic constraints, economic pressures and sociocultural factors drive inappropriate antibiotic use. While quantitative studies describe prevalence patterns, they fail to capture the underlying motivations and contextual barriers influencing prescribing and dispensing behaviors. This systematic review synthesizes qualitative evidence on the perceptions of healthcare professionals, patients, and caregivers regarding antibiotic use and explores the barriers and facilitators for implementing antibiotic stewardship programs in LMIC healthcare settings. Methods: We conducted a systematic review following PRISMA 2020 guidelines, based on a registered protocol in PROSPERO ID: CRD42024583749. Searches were performed in Medline, Embase, Cochrane Library, Web of Science, and Google Scholar for English-language studies published between 2014 and 2024. Qualitative and mixed-method studies examining stakeholder perspectives on antibiotic use and antibiotic stewardship implementation in LMICs were included. Studies were excluded if they focused exclusively on pediatric or neonatal populations, veterinary medicine, or quantitative outcomes without qualitative components. The data were analyzed using thematic analysis to identify and categorize codes and identify themes following methodological quality assessment of included studies using the Critical Appraisal Skills Programme Qualitative Studies Checklist by two independent reviewers. Results: Out of 2214 studies screened, a total of 119 studies from 33 LMICs were included, encompassing over 4000 participants across hospital, primary care, and community settings. Five interlinked themes emerged: (1) antibiotic use as a pragmatic response to diagnostic uncertainty and resource constraints; (2) financial and commercial drivers shaping prescribing and dispensing practices; (3) the disconnect between knowledge, sociocultural norms, and clinical behavior; (4) multi-level structural and professional barriers to antibiotic stewardship implementation; and (5) the critical role of health system vulnerabilities in perpetuating misuse. Conclusions: Inappropriate antibiotic use in LMICs reflects rational adaptations to systemic limitations rather than isolated knowledge gaps. Effective ABS strategies must address structural deficiencies, economic incentives, and sociocultural norms, while integrating context-specific interventions that strengthen health systems and engage all levels of care. The findings should, however, be evaluated in light of the geographic unevenness of the evidence base, the exclusion of non-English and gray literature, and lack of certainty assessments for synthesized themes.

Due to the high unemployment rate in Liberia, many individuals engage in waste scavenging as a means of survival. These scavengers are exposed to various hazards, including infections, respiratory illnesses, and accidents, often operating in unsafe environments without protective equipment. This study applied the Job Demands-Resources (JD-R) Theory to examine how the work environment mediates the relationship between occupational hygiene practices and health and safety among waste scavengers. The sample size was determined using Cochran’s formula for an unknown population, and data were collected from 384 waste scavengers in Liberia through snowball sampling. Partial Least Squares Structural Equation Modeling (PLS-SEM), specifically the bootstrapping method, was employed to analyze the data and evaluate both measurement and structural models. The results showed that occupational hygiene practices have a significant positive effect on both health and safety and the work environment. Additionally, the work environment was found to partially mediate the relationship between occupational hygiene practices and health and safety. The study recommends that the government implement regulations to ensure safe working conditions for waste scavengers. These policies should require waste management companies to adopt appropriate hygiene standards, safeguard the environment, and follow proper waste disposal protocols.

Background: Inappropriate antibiotic use contributes significantly to antibiotic resistance (ABR), particularly in low- and middle-income countries. Understanding community-level knowledge, attitudes, and practices is essential for designing effective interventions. This study assessed Knowledge, Attitudes and Practices (KAP) related to antibiotic use, with consideration of awareness of antibiotic resistance, in Montserrado County, Liberia. Methods: A community-based cross-sectional survey was conducted among 1160 adults in Montserrado County, Liberia, using a structured questionnaire to assess knowledge, attitudes, and practices (KAP) related to antibiotic use and antibiotic resistance. Composite KAP scores were calculated from Likert-scale items and subsequently categorized into ordered levels (poor, moderate, and good) based on percentile thresholds. Ordinal logistic regression was used to examine associations between sociodemographic characteristics and KAP outcomes. Results are presented as crude and adjusted odds ratios (COR, AOR) with 95% confidence intervals (CI), and statistical significance was set at p < 0.05. Results: Participants demonstrated moderate knowledge, with correct identification of antibiotic use for bacterial infections (skin infections: 78.8%; ear infections: 76.8%), but widespread misconceptions were observed, including use for colds and flu (73.6%) and diarrhea (80.7%). Attitudes were mixed, with many recognizing inappropriate use, yet expectation-driven demand remained common (62.7% dissatisfied when antibiotics were not prescribed; 80.9% willing to suggest antibiotics to clinicians). Practices were inconsistent, with both appropriate and inappropriate behaviors reported. While 46.2% of participants always completed antibiotic courses, inappropriate practices were frequent, including antibiotic use for common symptoms (38.6%), preventive use (37.2%), and self-medication without prescription (20.1% always). In multivariable analysis, older age was associated with higher knowledge (AOR = 3.82, 95% CI: 1.26–11.1), while lower education predicted poorer knowledge and practices (e.g., AOR = 0.25, 95% CI: 0.07–1.00). Urban residence was associated with poorer practices (AOR = 0.42, 95% CI: 0.29–0.61). Conclusions: While overall knowledge of antibiotic use in Montserrado County is moderate, critical misconceptions remain, and appropriate practices are inconsistent. Weak relationships between knowledge, attitudes, and practices highlight the limitations of knowledge-based interventions alone. Efforts to improve antibiotic use should address structural drivers, including access to antibiotics, healthcare-seeking behavior, and regulatory enforcement, through targeted and context-specific strategies.