Integrated surveillance systems are pivotal for advancing public health in low- and middle-income countries (LMICs), offering essential capabilities for early disease outbreak detection, streamlining vaccination efforts, and bolstering overall health outcomes. The effective functioning of these systems is critical in addressing preventable mortality and morbidity, which remain significant public health challenges. However, despite the potential benefits, LMICs face substantial obstacles in establishing and maintaining these systems due to factors such as infrastructural constraints, fragmented data systems, and limited resources. These challenges necessitate the development of more strategic, collaborative, and comprehensive surveillance frameworks tailored to the specific needs and limitations of these settings.
This Research Topic aims to tackle the opportunities and challenges inherent in creating integrated, collaborative surveillance systems in LMICs. It seeks to illuminate how leveraging digital technologies, fostering cross-sectoral partnerships, and crafting supportive policy frameworks can enhance the efficacy of disease surveillance and public health interventions. The research will explore critical questions surrounding the optimal design, implementation, and management of these systems under resource limitations, while also aiming to improve health equity and resilience in vulnerable populations. Evaluative efforts will focus on how these integrated systems can drive improved vaccine distribution, reduce disease incidence, and ultimately decrease mortality rates.
In pursuit of enriched understanding and innovative solutions, we invite submissions addressing themes including, but not limited to:
- Deployment of digital health initiatives within surveillance ecosystems - Fostering cross-sector collaborations to enhance disease monitoring efforts - Designing and assessing policy frameworks conducive to integrated surveillance - Implementing strategies to boost vaccine coverage through enhanced surveillance - Case studies on successful integration of collaborative surveillance models - Evaluations on the impact of these systems on health equity and outcomes
Authors with experience in overcoming barriers unique to LMICs within this domain will play a crucial role in advancing the conversation and implementation of effective surveillance systems, fostering progress in global health initiatives.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Classification
Clinical Trial
Community Case Study
Conceptual Analysis
Curriculum, Instruction, and Pedagogy
Data Report
Editorial
FAIR² Data
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Classification
Clinical Trial
Community Case Study
Conceptual Analysis
Curriculum, Instruction, and Pedagogy
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Policy and Practice Reviews
Policy Brief
Review
Study Protocol
Systematic Review
Technology and Code
Keywords: integrated surveillance systems, LMICS, public health infrastructure, disease detection, collaborative health interventions, digital health technologies, global health equity, vaccine distribution strategies, cross-sector partnerships
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.