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Related Concept Videos

Pulmonary Tuberculosis V01:28

Pulmonary Tuberculosis V

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Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
Latent tuberculosis infection occurs when TB bacteria are present in a person's body, but are not causing illness or symptoms. It is not contagious, and preventive treatment is crucial to avoid the...
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Pulmonary Tuberculosis I01:29

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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
The primary infectious agent causing tuberculosis is Mycobacterium tuberculosis, a slow-growing, acid-fast, aerobic rod that exhibits sensitivity to heat and ultraviolet light. Instances of Mycobacterium bovis and Mycobacterium avium contributing to the development of TB infection are rare.
Mode of...
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Pulmonary Tuberculosis II01:28

Pulmonary Tuberculosis II

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Tuberculosis, or TB, is a bacterial infectious disease caused by Mycobacterium tuberculosis. While its primary impact is on the lungs, leading to pulmonary tuberculosis, it can also affect various other organs, a condition referred to as extrapulmonary tuberculosis.
Here is a detailed explanation of its pathophysiology:
Transmission: The process begins when a person inhales droplet nuclei containing M. tuberculosis. These are typically released into the air when an individual with pulmonary or...
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Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

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Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
Several diagnostic approaches are used to detect TB. The conventional method is the Tuberculin Skin Test (TST), also known as the Mantoux test. However, this method has...
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Pulmonary Tuberculosis III01:31

Pulmonary Tuberculosis III

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Tuberculosis (TB) is a contagious infection primarily affecting the lung parenchyma but which can also affect other body parts. TB can be classified based on disease development, presentation, and the affected anatomical site.
The first classification is based on the development of the disease, and it includes the following categories:
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Introduction to Epidemiology01:26

Introduction to Epidemiology

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Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
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Related Experiment Video

Updated: Feb 19, 2026

Modeling Tuberculosis in Mycobacterium marinum Infected Adult Zebrafish
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Linking Individual Natural History to Population Outcomes in Tuberculosis.

Phillip P Salvatore1, Alvaro Proaño2, Emily A Kendall3

  • 1Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

The Journal of Infectious Diseases
|November 7, 2017
PubMed
Summary

Tuberculosis progression is slow, with a median doubling time of 84 days. A low annual recovery probability (16%) helps explain observed outcomes in untreated tuberculosis patients.

Keywords:
disease progressionmathematical modelsnatural historyspontaneous remissiontuberculosis

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Area of Science:

  • Mathematical modeling
  • Infectious disease dynamics
  • Tuberculosis research

Background:

  • Significant variation exists in how active tuberculosis (TB) presents and how long it lasts in individuals.
  • Understanding the link between individual patient characteristics and population-level TB outcomes is crucial.

Purpose of the Study:

  • To develop and validate an individual-based model of TB disease progression.
  • To identify individual-level disease dynamics that explain observed population-level outcomes in untreated TB.

Main Methods:

  • An individual-based, stochastic model was created for smear-positive TB.
  • The model included states of disease progression and recovery with transitions.
  • Bayesian methods calibrated the model to pre-chemotherapy clinical data to estimate transition rates.

Main Results:

  • Model calibration indicated slow disease progression (median doubling time: 84 days).
  • A low probability of transitioning from progression to recovery was identified (median 16% per year).
  • Other individual dynamics had minimal impact on overall outcomes.

Conclusions:

  • A simplified model with slow progression and low recovery probability accurately reflects population-level outcomes for untreated TB.
  • This modeling framework can enhance understanding of how individual-level interventions impact TB at the population level.