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Related Concept Videos

Principles of Disease Surveillance01:26

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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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Steps in Outbreak Investigation01:18

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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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Remote Laboratory Management: Respiratory Virus Diagnostics
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The Remote Emerging Disease Intelligence-NETwork.

Nicole L Achee1,2,

  • 1Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, United States.

Frontiers in Microbiology
|September 19, 2022
PubMed
Summary
This summary is machine-generated.

The Remote Emerging Disease Intelligence-NETwork (REDI-NET) enhances global pathogen surveillance by integrating remote data and metagenomics. This network aims to improve early detection and mitigation of emerging infectious diseases worldwide.

Keywords:
REDI-NETbio-/xeno-surveillancecapacity buildingemerging infectious diseasemetagenomicsmobile data entrynext-generation sequencingzoonoses

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Area of Science:

  • * One Health
  • * Infectious Disease Epidemiology
  • * Bioinformatics

Background:

  • * Accurate prediction of zoonotic spillover events necessitates understanding baseline pathogens in diverse global environments.
  • * Increasing epidemics and pandemic potential highlight the need for global collaborations to enhance disease surveillance and capacity building.
  • * Gaps in surveillance require standardized sample processing and data analysis, especially in remote regions.

Purpose of the Study:

  • * To introduce the Remote Emerging Disease Intelligence-NETwork (REDI-NET) framework to stakeholders in metagenomics, epidemiological surveillance, and One Health.
  • * To detail the REDI-NET initiative's phased approach to enhancing surveillance and characterizing natural pathogens across various biomes.
  • * To present the electronically merged (e-MERGE) data pipeline and alert dashboard as a key deliverable for integrating surveillance data.

Main Methods:

  • * Establishing a consortium (REDI-NET) to improve surveillance approaches and characterize pathogens in temperate and tropical biomes.
  • * Integrating training resources, Standard Operating Procedures (SOPs), and Quick Reference Guides into all project phases.
  • * Utilizing routine bio- and xenosurveillance, AI for vector identification, and establishing epidemiological risk thresholds.
  • * Developing a custom electronically merged (e-MERGE) data pipeline and alert dashboard for integrating field and lab data with metagenomic next-generation sequencing.

Main Results:

  • * The REDI-NET framework is established to enhance pathogen surveillance and characterize natural pathogens in diverse biomes.
  • * A phased initiative integrating training and advanced technologies like AI and metagenomics is underway.
  • * A key deliverable is the e-MERGE data pipeline and alert dashboard, designed for timely data integration and analysis.
  • * The framework aims to provide a centralized, rigorous database for health decision-makers to mitigate health threats.

Conclusions:

  • * The REDI-NET initiative provides a flexible, scalable, and expandable framework to address resource gaps in pathogen surveillance.
  • * Successful program implementation will enhance global health protection through improved surveillance and early warning systems.
  • * The e-MERGE pipeline will furnish decision-makers with critical data for alerting, preparing for, and mitigating health threats.
  • * This framework supports interdisciplinary collaboration and data integration for a comprehensive One Health approach to emerging diseases.