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

Pulmonary Tuberculosis I01:29

Pulmonary Tuberculosis I

806
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...
806
Pulmonary Tuberculosis II01:28

Pulmonary Tuberculosis II

1.3K
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...
1.3K
Pulmonary Tuberculosis V01:28

Pulmonary Tuberculosis V

527
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...
527
Pulmonary Tuberculosis III01:31

Pulmonary Tuberculosis III

899
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:
899
Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

468
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...
468
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

470
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:
470
  1. Home
  3. Research Domains
  5. Engineering
  7. Environmental Engineering
  9. Air Pollution Modelling And Control
  11. Environmental Drivers Of Tuberculosis Transmission In Guangdong, China: Integrating Generalized Additive Models And Dynamic Simulations.
  1. Home
  3. Research Domains
  5. Engineering
  7. Environmental Engineering
  9. Air Pollution Modelling And Control
  11. Environmental Drivers Of Tuberculosis Transmission In Guangdong, China: Integrating Generalized Additive Models And Dynamic Simulations.

Related Experiment Video

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection
10:10

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection

Published on: October 5, 2015

19.4K

Environmental drivers of tuberculosis transmission in Guangdong, China: Integrating generalized additive models and dynamic simulations.

Lingming Kong1, Yanying Mo1, Guanghu Zhu2

  • 1School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China.

Mathematical Biosciences
|December 3, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study reveals air pollution and holidays significantly impact tuberculosis transmission in Guangdong. Reducing air pollutants and targeting relapse prevention are key to controlling TB spread.

Keywords:
Dynamical modelGAMReproduction numberTuberculosis

More Related Videos

Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates
10:04

Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates

Published on: September 5, 2017

19.2K
An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei
09:02

An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei

Published on: February 17, 2014

20.2K

Related Experiment Videos

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection
10:10

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection

Published on: October 5, 2015

19.4K
Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates
10:04

Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates

Published on: September 5, 2017

19.2K
An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei
09:02

An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei

Published on: February 17, 2014

20.2K

Area of Science:

  • Epidemiology
  • Mathematical Modeling
  • Environmental Health

Background:

  • Tuberculosis (TB) poses a significant global health threat, especially in high-burden areas like Guangdong Province, China.
  • Understanding the complex interplay of environmental and socioeconomic factors is crucial for effective TB control.

Purpose of the Study:

  • To develop an integrated framework combining generalized additive models (GAM) and non-autonomous dynamical modeling to analyze TB transmission dynamics.
  • To quantify the synergistic effects of environmental (air quality, humidity) and socioeconomic (holidays) factors on TB incidence in Guangdong.

Main Methods:

  • Utilized weekly TB case data, air quality index (AQI), absolute humidity (AH), and holiday indicators (2014-2019).
  • Employed GAM to assess nonlinear, lagged effects of environmental exposures and holidays on TB incidence.
  • Integrated time-varying parameters into a non-autonomous SEIR model for dynamic analysis.

    • Main Results:

    • Increased AQI (10-unit rise) correlated with a 3.8% increase in TB risk; AH showed a negative regulatory effect.
    • Holidays amplified TB case fluctuations by 37%, with post-holiday rebounds reaching 68%.
    • The basic reproduction number (R0) was estimated at 1.9, indicating endemic persistence; infection rate and relapse probability were key drivers.

    Conclusions:

    • The hybrid modeling approach provides a quantitative tool for optimizing TB intervention strategies.
    • Recommendations include reducing airborne pollutants, enhancing surveillance, and focusing on relapse prevention.
    • The model predicts a long-term declining trend but persistent winter-spring seasonality for TB in Guangdong.