Keyword: Public Health

ABSTRACT: Antimicrobial resistance (AMR) poses an escalating threat to global public health, undermining the effectiveness of infectious disease prevention and treatment and placing sustained pressure on health systems worldwide. Advances in genomic technologies, including whole-genome sequencing and metagenomic analyses, have substantially enhanced the resolution and scope of AMR surveillance. However, despite growing investments in genomic surveillance, the routine translation of genomic data into public health policy and action remains limited. This review examines the persistent data-to-decision (D2D) gap that constrains the public health impact of genomic AMR surveillance. Using a narrative review approach, the literature on genomic AMR surveillance, public health surveillance systems, and decision-making frameworks was synthesized to assess how genomic data are generated, interpreted, and operationalized within public health systems. The review integrates evidence from international and national surveillance initiatives, policy analyses, and implementation studies, with particular attention to organizational, analytical, and governance factors influencing data use. Findings indicate that while genomic surveillance offers high potential for early detection of resistance, transmission tracking, and proactive intervention, its public health utility is frequently limited by insufficient integration with decision-making structures, lack of standardized reporting and interpretation frameworks, and unclear action thresholds. The review highlights emerging best practices, including standardized translational reporting, decision-support tools, predefined genomic action triggers, and multidisciplinary collaboration, as critical mechanisms for closing the D2D gap. Persistent inequities in access to genomic surveillance capacity, particularly in low- and middle-income countries, further underscore the need for governance models that prioritize sustainability, local ownership, and equitable capacity building. Overall, this review argues that realizing the full public health value of genomic AMR surveillance requires moving beyond technological advancement toward intentional systems-level integration that aligns genomic intelligence with timely, evidence-informed public health decision-making.

ABSTRACT: Infectious disease surveillance has long been vital in public health, but traditional methods often fall short in detecting emerging threats and understanding pathogen evolution. Recent advances in Next-Generation Sequencing (NGS) have revolutionized genomic surveillance, enabling near real-time monitoring of pathogens at the genetic level. This study explores the integration of real-time genomic surveillance with epidemiological models to enhance disease intervention planning. We examine how combining genomic data with models like Susceptible-Infectious-Recovered (SIR) and Susceptible-Exposed-Infectious-Recovered (SEIR) improves outbreak forecasting, facilitates early detection of new variants, and provides actionable insights for targeted interventions. The integration of NGS data allows for more precise transmission network mapping, better-informed resource allocation, and dynamic policy adjustments. However, challenges persist, including technical limitations, data privacy concerns, and equity in global surveillance capacities. The findings suggest that genomic integration enhances epidemic prediction and response but requires robust policy frameworks, equitable data-sharing practices, and continuous capacity-building efforts in low- and middle-income regions. The future of infectious disease control hinges on advancing technologies like artificial intelligence (AI), cloud computing, and machine learning to improve predictive accuracy and support real-time decision-making. This review underscores the potential of genomic surveillance to transform public health strategies and outlines key steps for effective global collaboration.

ABSTRACT: Background: Gender-based violence (GBV) and Human Immunodeficiency Virus (HIV) are critical public health issues in Sub-Saharan Africa, disproportionately affecting women. Gender-based violence (GBV)—including intimate partner violence and sexual assault—fuels HIV transmission via trauma, coercion, and healthcare barriers. This syndemic demands urgent, evidence-based solutions to break the cycle of risk.
Objectives: This study aims to explore the prevalence, types, and socio-cultural, economic, and power-related factors linking GBV to HIV risk among women in Sub-Saharan Africa, and to assess the effectiveness of integrated interventions addressing both issues.
Methodology: In carrying out this review, a scoping review design was employed. PubMed, African Journals Online (AJOL), and Google Scholar were searched for peer-reviewed studies conducted across Sub-Saharan Africa focusing on association of GBV and HIV risks. Data was extracted on the prevalence of HIV cases linked to GBV, and interventions addressing such prevalence. A thematic synthesis was used to identify common trends and gaps in the literature.
Findings: This study found GBV prevalence rates ranging from 3.4–89.3% across included studies, with significant geographic and population-based variations. GBV was identified as a major risk factor for HIV, particularly in settings with high economic dependence and gender inequality. Integrated interventions combining HIV care and GBV services were found to improve health outcomes, though access remains limited in rural areas.
Conclusion: This study underscores the urgent need for integrated, multi-sectoral approaches to address both GBV and HIV. Future research should focus on longitudinal studies and the scalability of successful interventions in diverse settings. Policymakers must prioritize these intersections to reduce the burden on women’s health in Sub-Saharan Africa.

ABSTRACT: One of the major public health emergencies that has affected lives globally is infectious disease outbreaks. These issues are of great concern due to their potential to transcend borders. The control and management of such outbreaks even with the attention channelled towards it globally has been a difficult task in many developing and underdeveloped countries of the world of which the majority of sub-saharan african countries fall under. However, with this review, we aim to contribute to the body of knowledge dedicated towards control of infectious diseases by analyzing the preparedness of Sub-Saharan African (SSA) countries in managing infectious disease outbreaks based on lessons from recent outbreaks (with focus on COVID-19, Lassa fever and Ebola outbreaks). In carrying out this narrative review, we make use of PubMed and African Journals Online (AJOL) as the primary literature sources. To ensure we capture publications from reputable organizations that are solely involved in control of infectious diseases in the region, we carried out a grey literature search.
However in this review, we synthesized challenges such as weak healthcare systems, inadequate healthcare infrastructure, inefficient surveillance systems, poor data management and reporting practices, limited laboratory capacity and reliance on external donors for supplies during emergencies.
The review proposes potential interventional measures aimed at addressing these challenges aimed at enhancing the preparedness
The findings from this review provide critical insights into the preparedness gaps and potential interventions, informing policy and practice to enhance the region's resilience future outbreaks.