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Related Concept Videos

Principles of Disease Surveillance01:26

Principles of Disease Surveillance

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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Updated: Sep 26, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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An Implementation Strategy to Develop Sustainable Surveillance Activities Through Adoption of a Target Operating

Natalie K Lee1, Miles A Stewart1, Jessica S Dymond1

  • 1Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.

Frontiers in Public Health
|April 25, 2022
PubMed
Summary
This summary is machine-generated.

Developing sustainable global pathogen surveillance in low- and middle-income countries (LMICs) requires integrated strategies. A target operating model can unify genomic surveillance programs, enhancing their relevance and impact for disease outbreak response.

Keywords:
capacity buildingdata architecturelow-middle-income countriespathogen genomicspublic healthsurveillance

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Area of Science:

  • Global Health Security
  • Infectious Disease Epidemiology
  • Genomic Surveillance

Background:

  • Emerging and re-emerging pathogens necessitate robust global surveillance for rapid characterization and outbreak response.
  • Existing surveillance programs in low- and middle-income countries (LMICs) often fail due to limited resources, competing priorities, and siloed approaches.
  • Sustainability challenges in LMICs include resource constraints, workforce limitations, and supply chain issues.

Purpose of the Study:

  • To propose an implementation strategy for sustainable genomics-based surveillance initiatives in LMICs.
  • To improve the design and implementation of surveillance programs by integrating stakeholder needs.
  • To enhance the adoption and endurance of new surveillance programs.

Main Methods:

  • Proposing a target operating model as a foundational framework for genomic surveillance program design.
  • Integrating clinical decision-making with population-level disease monitoring.
  • Leveraging emerging technologies and data modalities, including sequencing data.

Main Results:

  • A target operating model can ensure genomic surveillance programs are agile, relevant, and unified.
  • Cross-sectorial integration of clinical care and public health initiatives is crucial.
  • Addressing LMIC-specific barriers is essential for program success.

Conclusions:

  • Genomic surveillance programs designed with a target operating model can increase impact and sustainability in LMICs.
  • Effective surveillance requires a unified approach that supports both public health and clinical decision-making.
  • Shared vision and adequate resourcing are key to overcoming implementation barriers.