Related Experiment Video
Updated: May 8, 2026
03:22
Microbiological Rapid On-Site Evaluation for Pulmonary Infectious Diseases
Published on: March 1, 2024
Systems Biology and Ratio-Based, Real-Time Disease Surveillance
1Los Alamos National Laboratory, Biosecurity & Public Health, Los Alamos, NM, USA.
Transboundary and Emerging Diseases
|September 13, 2013
Summary
This study introduces a novel ratio-based method for early infectious disease detection, analyzing blood leucocyte ratios to identify inflammation and disease stages without needing to know the specific pathogen. The method effectively distinguishes inflamed from non-inflamed birds and identifies different inflammatory phases.
Area of Science:
- * Systems Biology
- * Infectious Disease Surveillance
- * Immunology
Background:
- * Current infectious disease surveillance methods often lack the sensitivity for early detection.
- * Early identification of inflammation is crucial for timely intervention and disease management.
- * Systems Biology approaches offer potential for novel diagnostic strategies.
Purpose of the Study:
- * To evaluate a ratio- and Systems Biology-based method for early detection of inflammation and disease.
- * To determine if the method can distinguish between inflamed (D+) and non-inflamed (D-) states.
- * To assess the method's ability to detect multiple disease stages and its sensitivity to sample size.
Main Methods:
- * Experimental infection of birds with West Nile virus (WNV) served as a reference group.
- * A problem group of WNV-negative birds with inflammation was analyzed.
- * Blood leucocyte ratios were measured over 22 days using a ratio-based system.
Main Results:
- * The ratio-based method successfully distinguished three data classes: one D- and two D+.
- * Two distinct inflammatory stages (early and late) were identified.
- * The method differentiated responders based on speed and identified individuals that recovered versus those remaining inflamed.
Conclusions:
- * Ratio-based analysis of blood leucocytes is a promising method for early inflammation detection.
- * The method is effective even with small sample sizes and does not require prior knowledge of the infectious agent.
- * Utilizing ratios in disease surveillance can enhance the recognition of inflammation patterns, improving early detection capabilities.
Related Concept Videos
01:26Principles of Disease Surveillance
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...
01:18Steps in Outbreak Investigation
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:
01:23Investigation of Disease Outbreaks
Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
01:17Microbial Biosensors
Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
01:28Infectious Diseases and Their Occurrence
Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...
01:25Statistical Methods for Analyzing Epidemiological Data
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods: