EPIDEMIOLOGY AND HEALTH DATA INSIGHTS

Keyword: Health Policy

6 results found.

Editorial
Diagnosis Without Dialogue: A Rapid Analysis of Kazakhstan's New Healthcare Concept 2026–2029 and the Missing Voice of the Health Sector
Epidemiology and Health Data Insights, 2(3), 2026, ehdi038, https://doi.org/10.63946/ehdi/18375
ABSTRACT: In March 2026, Kazakhstan approved a new national Healthcare Development Concept for 2026–2029. This editorial provides a rapid critical analysis of the document, comparing it with its 2022–2026 predecessor. We identify genuine advances, including expanded indicator architecture, health technology assessment tools, digital health ambitions, and an explicit adolescent health agenda alongside persistent structural weaknesses: the absence of a theory of change, limited economic evaluation, no comprehensive human resources for health strategy, and a thin monitoring and evaluation framework. We also raise a chronic governance concern: the Concept was adopted without meaningful consultation with the professional and academic health community, in tension with President of Kazakhstan Tokayev's stated commitment to a hearing state.
Review Article
Bridging the Gap Between Genomic Surveillance of Antimicrobial Resistance and Public Health Decision-Making: A Review
Epidemiology and Health Data Insights, 2(2), 2026, ehdi031, https://doi.org/10.63946/ehdi/18033
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.
Review Article
Integrating Real-Time Genomic Surveillance (Next-Generation Sequencing) with Epidemiological Models for Infectious Disease Intervention Planning
Epidemiology and Health Data Insights, 2(2), 2026, ehdi030, https://doi.org/10.63946/ehdi/17898
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.
Review Article
Water, Sanitation, and Hygiene (WASH) Gaps as Drivers of Antimicrobial Resistance in Sub-Saharan Africa: A One Health Perspective
Epidemiology and Health Data Insights, 1(5), 2025, ehdi016, https://doi.org/10.63946/ehdi/17210
ABSTRACT: Antimicrobial resistance (AMR) is a growing global threat, and sub-Saharan Africa (SSA) bears a disproportionate share of this burden. This narrative review examines how deficiencies in water, sanitation, and hygiene (WASH) contribute to AMR in SSA. It draws on peer-reviewed literature, institutional reports, and regional policy documents published between 2015 and 2025. Sources were identified through databases such as PubMed, Google Scholar, and WHO/UN databases using combinations of keywords including ‘AMR’, ‘WASH’, ‘Sub-Saharan Africa’, and ‘One Health’. We survey recent literature on the regional AMR problem, the role of inadequate WASH in propagating resistant infections among humans, animals, and the environment, and the relevance of a One Health approach. Key themes include the high AMR mortality in Africa, the persistence of antibiotic residues and pathogens in poorly managed water and sanitation systems, and how poverty-related WASH gaps drive frequent infections that require antibiotics. Evidence suggests that unsafe water and sanitation facilitate the environmental circulation of resistant bacteria and genes. The One Health framework is highlighted as essential for addressing these links, since AMR crosses human, animal, and ecological domains. We conclude that improving WASH infrastructure and practices, alongside integrated AMR strategies, is critical to curb resistance in the region. Focusing on WASH under a One Health perspective can reveal overlooked pathways of AMR spread and inform targeted interventions in SSA.
Review Article
Addressing the Digital Divide: Strategies for Inclusive Telehealth and AI in Resource-Limited Settings
Epidemiology and Health Data Insights, 1(4), 2025, ehdi014, https://doi.org/10.63946/ehdi/17088
ABSTRACT: The COVID-19 pandemic accelerated the adoption of telemedicine and artificial intelligence (AI), transforming healthcare delivery worldwide. These technologies hold promise for improving access, efficiency, and diagnostic accuracy, but their benefits remain unevenly distributed. In many low- and middle-income countries (LMICs), persistent gaps in infrastructure, affordability, literacy, and governance risk turning digital innovation into a driver of health inequities. This paper examines the digital divide as a multidimensional health determinant encompassing infrastructure, affordability, human capacity, sociocultural inclusion, and governance. Using illustrative case studies from Africa, South Asia, Latin America, and high-income countries, this study highlights how telehealth and AI can enhance accessibility and enable task-shifting, while also demonstrating how exclusionary design and weak systems may perpetuate disparities. Building on these insights, the paper proposes a multi-sector framework for inclusive digital health, integrating investments in infrastructure, affordable and scalable models, digital literacy, culturally sensitive design, governance reform, sustainable financing, and public–private partnerships. To operationalize this framework, we recommend measurable indicators (e.g., affordability thresholds, literacy benchmarks, governance readiness indices) and propose implementation tools, including a logic model and barrier-to-action checklist. We argue that digital equity must be treated not as a peripheral issue but as a moral imperative for global health justice. Achieving this requires embedding equity into design, financing, and governance from the outset so that telehealth and AI reduce, rather than exacerbate, disparities in healthcare.
Original Article
Understanding the Rising Trend of Medical Exemptions in Childhood Vaccination: A Qualitative Study of Healthcare Providers’ Perspectives in Kazakhstan
Epidemiology and Health Data Insights, 1(2), 2025, ehdi007, https://doi.org/10.63946/ehdi/16650
ABSTRACT: Background: Vaccination is one of the most effective public health interventions yet increasing numbers of unjustified medical exemptions in Kazakhstan threaten both herd immunity and public trust. In 2020 alone, over 208,000 temporary and 2,600 permanent exemptions were issued—often based on questionable clinical criteria. This study aims to explore the drivers behind the rising number of medical exemptions in Kazakhstan, with a particular focus on the perspectives and attitudes of healthcare professionals.
Methods: A qualitative approach was employed, combining a desk review of national immunization policies and statistical reports with 27 in-depth interviews conducted in 2021–2022. Participants included healthcare providers and public health experts across urban and rural regions of Kazakhstan. Thematic analysis was used to identify key patterns in the data. Relevant national regulations were also reviewed and compared with international standards.
Results: Thematic analysis revealed four major areas of concern: (1) inconsistencies in pre-vaccination monitoring practices, (2) variability in post-vaccination follow-up procedures, (3) divergent roles and responsibilities among stakeholders in granting medical exemptions, and (4) limitations in surveillance and data systems for tracking and verifying exemptions. Findings suggest that physician over-cautiousness, legal insecurity, parental pressure, and inconsistent training are key drivers of unnecessary exemptions. The overdiagnosis of precautionary conditions—particularly by specialists such as neurologists—further contributes to false contraindications. These practices erode vaccine confidence and create barriers to timely immunization.
Conclusion: Addressing the growing problem of unwarranted medical exemptions requires policy reform, clearer clinical guidelines, enhanced physician training, and improved digital monitoring systems. Strengthening these areas is essential for restoring public trust, reducing unjustified exemptions, and ensuring high vaccination coverage in Kazakhstan.