Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Introducing Social Perception01:29

Introducing Social Perception

339
Perceiving others accurately is fundamental to effective communication and relationship-building. Social perception, a key concept in social psychology, refers to the cognitive processes through which individuals gather and interpret information about others to understand their actions, intentions, and motivations. This process extends beyond spoken words and overt behaviors, incorporating subtle nonverbal cues and contextual factors.Nonverbal Cues and Their SignificanceNonverbal cues play a...
339
Relative Risk01:12

Relative Risk

2.0K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.0K
Pulmonary Tuberculosis I01:29

Pulmonary Tuberculosis I

881
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...
881
Pulmonary Tuberculosis II01:28

Pulmonary Tuberculosis II

1.4K
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...
1.4K
Pulmonary Tuberculosis V01:28

Pulmonary Tuberculosis V

556
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...
556
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

13.3K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Screening for tuberculosis in prisons: efficacy of a breath-based diagnostic approach in a high prevalence setting.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases·2026
Same author

Preferences for treatment for latent tuberculosis infection in primary care among people in the United States at increased risk of tuberculosis: a pilot survey.

medRxiv : the preprint server for health sciences·2026
Same author

Future-proofing tuberculosis therapy: framework for concurrent drug and resistance testing development.

The Lancet. Infectious diseases·2026
Same author

A WHO worth fighting for: the case for focused, ambitious reform.

Lancet (London, England)·2026
Same author

Climate change and tuberculosis: enhancing impact through an implementation science informed agenda.

Environmental health : a global access science source·2026
Same author

Latent tuberculosis infection care cascade outcomes in primary care clinics in the tuberculosis epidemiologic studies consortium-III.

Annals of epidemiology·2026

Related Experiment Video

Updated: Jan 23, 2026

The MODS method for diagnosis of tuberculosis and multidrug resistant tuberculosis
23:06

The MODS method for diagnosis of tuberculosis and multidrug resistant tuberculosis

Published on: August 11, 2008

19.6K

Introducing risk inequality metrics in tuberculosis policy development.

M Gabriela M Gomes1,2, Juliane F Oliveira3, Adelmo Bertolde4

  • 1Liverpool School of Tropical Medicine, Liverpool, L3 5QA, United Kingdom. gabriela.gomes@lstmed.ac.uk.

Nature Communications
|June 8, 2019
PubMed
Summary

Understanding tuberculosis risk inequality is crucial for effective global health strategies. This study introduces a new metric, the risk inequality coefficient (RIC), to improve tuberculosis modeling and policy development.

More Related Videos

Separation and Fractionation of Culture Filtrate Proteins (CFPs) from Mycobacterium tuberculosis
08:48

Separation and Fractionation of Culture Filtrate Proteins (CFPs) from Mycobacterium tuberculosis

Published on: July 11, 2025

565
Separation and Fractionation of Cell Wall and Cell Membrane Proteins from Mycobacterium tuberculosis for Downstream Protein Analysis
06:14

Separation and Fractionation of Cell Wall and Cell Membrane Proteins from Mycobacterium tuberculosis for Downstream Protein Analysis

Published on: September 26, 2025

587

Related Experiment Videos

Last Updated: Jan 23, 2026

The MODS method for diagnosis of tuberculosis and multidrug resistant tuberculosis
23:06

The MODS method for diagnosis of tuberculosis and multidrug resistant tuberculosis

Published on: August 11, 2008

19.6K
Separation and Fractionation of Culture Filtrate Proteins (CFPs) from Mycobacterium tuberculosis
08:48

Separation and Fractionation of Culture Filtrate Proteins (CFPs) from Mycobacterium tuberculosis

Published on: July 11, 2025

565
Separation and Fractionation of Cell Wall and Cell Membrane Proteins from Mycobacterium tuberculosis for Downstream Protein Analysis
06:14

Separation and Fractionation of Cell Wall and Cell Membrane Proteins from Mycobacterium tuberculosis for Downstream Protein Analysis

Published on: September 26, 2025

587

Area of Science:

  • Epidemiology
  • Mathematical Modeling
  • Public Health

Background:

  • Global stakeholders, including the World Health Organization, utilize predictive models for tuberculosis (TB) control strategies.
  • Inaccurate interpretation of TB data and flawed policy decisions arise from failing to account for individual risk variations.
  • Estimating parameter heterogeneity in TB models faces challenges despite technological advancements.

Purpose of the Study:

  • To identify the key process where heterogeneity most significantly impacts TB model outputs.
  • To introduce quantifiable metrics for assessing risk inequality in TB infection.
  • To develop a practical tool for national TB programs to incorporate risk heterogeneity into policy and modeling.

Main Methods:

  • Analysis of TB infection acquisition dynamics to pinpoint the most impactful source of heterogeneity.
  • Development of novel metrics to quantify risk inequality.
  • Integration of these metrics into mathematical models to assess their utility.
  • Formulation of a Risk Inequality Coefficient (RIC).

Main Results:

  • Infection acquisition is identified as the primary driver of heterogeneity impacting TB model outputs due to dynamic infection forces.
  • Novel metrics for risk inequality were successfully developed and demonstrated.
  • The Risk Inequality Coefficient (RIC) was formulated as a computable measure.

Conclusions:

  • The Risk Inequality Coefficient (RIC) offers a standardized method for quantifying TB risk heterogeneity.
  • This coefficient can enhance the accuracy of TB control models and inform policy development by national programs.
  • Addressing risk inequality is essential for improving global tuberculosis care and control strategies.