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Related Concept Videos

Infection01:20

Infection

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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...
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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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Pulmonary Tuberculosis I01:29

Pulmonary Tuberculosis I

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Tuberculosis, often called TB, is a contagious illness primarily caused by Mycobacterium tuberculosis. It mainly affects the lung parenchyma but can also impact other body parts.
Causative Organism
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Transmission-based Precautions II: Airborne and Protective Environment01:25

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Transmission-based precautions are for patients infected or suspected to be infected (or colonized) with organisms posing a significant risk to others. The transmission precautions include airborne and protective environment precautions.
Airborne precautions:
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Increased Body Temperature01:25

Increased Body Temperature

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A body temperature above  38°C  (100.4 °F) is known as fever or pyrexia, and a person with fever is termed 'febrile.' Typically, the hypothalamus, a part of the brain that acts as the body's thermostat, regulates body temperature through a thermoregulatory setpoint. It receives signals from cold and warm thermal receptors throughout the body and adjusts the body's temperature accordingly. Fever occurs when this hypothalamic setpoint is altered, usually in...
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Factors Affecting Body Temperature01:28

Factors Affecting Body Temperature

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As a nurse, it is vital to understand the factors affecting body temperature to monitor variations and effectively evaluate deviations from regular.
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Updated: Aug 14, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
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Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

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Bounding pandemic spread by heat spread.

Teddy Lazebnik1, Uri Itai2

  • 1Department of Cancer Biology, Cancer Institute, University College London, London, UK.

Journal of Engineering Mathematics
|January 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces novel heat spread models to predict pandemic progression, offering a simpler alternative to complex epidemiological models. These methods reduce reliance on detailed biological data for effective early pandemic management.

Keywords:
Diffusion rate boundaryGraph-based stochastic SIR modelPartial-knowledge pandemic management

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Area of Science:

  • Epidemiology
  • Computational modeling
  • Network science

Background:

  • Early pandemic management is critical for mitigating health and economic impacts.
  • Insufficient knowledge during initial outbreak stages complicates the use of sophisticated models.
  • Traditional models like the Susceptible-Infected-Recovered (SIR) model require extensive biological data.

Purpose of the Study:

  • To propose novel analytical and stochastic heat spread-based boundaries for modeling pandemic propagation.
  • To compare the effectiveness of these new boundaries with the stochastic SIR model on social interaction graphs.
  • To develop a pandemic modeling approach that minimizes the need for precise biological parameters.

Main Methods:

  • Development of analytical and stochastic heat spread-based boundary conditions.
  • Modeling pandemic spread on an interaction (social) graph as a diffusion process.
  • Comparison of the proposed heat spread model with the stochastic SIR model.

Main Results:

  • The proposed heat spread boundaries effectively model pandemic diffusion on social networks.
  • The new approach demonstrates comparable performance to the stochastic SIR model.
  • The heat spread model proves less dependent on detailed biological knowledge.

Conclusions:

  • Heat spread-based boundaries offer a viable and simplified approach to early pandemic modeling.
  • This method enhances the practicality of pandemic prediction by reducing data requirements.
  • The findings support the use of diffusion-based models for understanding and managing infectious disease spread.