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Related Concept Videos

Infection01:20

Infection

When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
Intracellular Movement of Viruses and Bacteria01:10

Intracellular Movement of Viruses and Bacteria

Intracellular bacteria and viruses often comprise a group of highly infectious pathogens that can cause several diseases. Bacterial pathogens include those belonging to the genus Rickettsia responsible for conditions such as rocky mountain spotted fever and the Mediterranean spotted fever; Chlamydia, a genus responsible for a sexually transmitted disease; Coxiella burnetii, an agent responsible for Q fever. Viral pathogens include vaccinia—a poxvirus, and herpes simplex virus—a virus that...
Steps in Outbreak Investigation01:18

Steps 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:
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results from...
Infectious Diseases and Their Occurrence01:28

Infectious 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...
Reservoir of Infection01:30

Reservoir of Infection

Infectious diseases arise from intricate interactions between pathogens and their reservoirs. A reservoir of infection refers to the natural habitat where a pathogen lives, grows, and multiplies, serving as a continual source of infection. Reservoirs are broadly classified as either living or nonliving, and each plays a unique role in disease transmission, significantly influencing public health interventions and control strategies.Humans act as reservoirs for a wide array of pathogens,...

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Dynamical network model of infective mobile agents.

Mattia Frasca1, Arturo Buscarino, Alessandro Rizzo

  • 1Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, Università degli Studi di Catania, viale A. Doria 6, 95125 Catania, Italy. mfrasca@diees.unict.it

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 10, 2006
PubMed
Summary

This study introduces a dynamical network model for infectious disease spread in mobile populations. Long-distance jumps create unique network structures, quantified by new parameters.

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Area of Science:

  • Epidemiology
  • Network Science
  • Mathematical Modeling

Background:

  • Infectious disease transmission is influenced by population mobility and interaction networks.
  • Modeling disease spread requires capturing the dynamic nature of social contacts.

Purpose of the Study:

  • To introduce a novel dynamical network model for simulating infectious disease spread.
  • To investigate the impact of individual mobility, specifically long-distance jumps, on disease dynamics.
  • To develop parameters for quantifying network structural changes due to mobility patterns.

Main Methods:

  • Development of a dynamical network model representing mobile individuals as random walkers.
  • Simulation of disease spread incorporating both local random walks and long-distance jumps.
  • Introduction and application of new parameters to analyze emergent network structures.

Main Results:

  • The model demonstrates that long-distance jumps introduce peculiar features into the interaction network.
  • These features represent significant structural differences compared to models with only local movement.
  • The proposed parameters effectively capture and quantify these emergent network characteristics.

Conclusions:

  • The dynamical network model provides a framework for understanding disease spread in mobile populations.
  • Long-distance mobility significantly alters network structure, impacting disease transmission dynamics.
  • The developed parameters offer a quantitative method to assess the influence of mobility on network topology.