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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

622
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
622
Pharmacokinetic–Pharmacodynamic Relationship: Exposure, Response and Effect01:26

Pharmacokinetic–Pharmacodynamic Relationship: Exposure, Response and Effect

258
The pharmacokinetic-pharmacodynamic (PK-PD) relationship describes the intricate link between drug exposure, efficacy, and toxicity, forming the foundation for optimal dosing regimens. This relationship uses mathematical modeling to characterize drug concentration-effect dynamics, ensuring precise therapeutic outcomes.Exposure represents the pharmacokinetic aspect of the PK-PD relationship, denoting the drug amount that elicits a biological response. It is typically quantified by administered...
258
Hazard Ratio01:12

Hazard Ratio

741
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
741
Odds Ratio01:09

Odds Ratio

2.2K
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
2.2K
Transmission-based Precautions II: Airborne and Protective Environment01:25

Transmission-based Precautions II: Airborne and Protective Environment

2.0K
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:
Use airborne precautions when treating patients known or suspected to have diseases that spread through the air—for example, tuberculosis or measles. These organisms are present in smaller droplets expelled by an infected person and...
2.0K
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.7K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.7K

You might also read

Related Articles

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

Sort by
Same author

Artificial Intelligence and Occupational Health: Global Umbrella Review of Applications and Limitations.

Safety and health at work·2026
Same author

Work Exposome estimation through Job Exposure Matrices - JEMs?

Journal of occupational and environmental medicine·2026
Same author

The association between occupational mechanical exposures and low-back and lower-body musculoskeletal disorders: an overview of systematic reviews.

Annals of work exposures and health·2026
Same author

Reconsidering the Health Impact of Long Working Hours on Cardiovascular Health.

Journal of occupational and environmental medicine·2026
Same author

Occupational mechanical exposures and upper-body musculoskeletal disorders: an overview of systematic reviews.

Annals of work exposures and health·2026
Same author

Criteria of sustainable working conditions for cancer survivors: A scoping review.

European journal of oncology nursing : the official journal of European Oncology Nursing Society·2026

Related Experiment Video

Updated: Apr 23, 2026

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

3.0K

The Job Exposure Matrix as a Public Health Translational Tool.

Alexis Descatha1, Marc Fadel2

  • 1Univ Angers Inserm, CHU Angers, Indiana Univ, Northwell/Hofstra. Indiana University School of Public Health, Bloomington, Indiana, USA/ Donald and Barbara Zucker School of Medicine, Hofstra Univ Northwell Health, USA.

Archivos De Prevencion De Riesgos Laborales
|April 21, 2026
PubMed
Summary
This summary is machine-generated.

Job Exposure Matrices (JEM) estimate worker exposures, evolving from chemical risks to broader health factors. Modern JEMs aid various professionals and workers, but ethical use is crucial due to exposure variability.

Keywords:
JEM ; Exposure; evaluation; policy; occupational; workers

More Related Videos

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.6K
Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.5K

Related Experiment Videos

Last Updated: Apr 23, 2026

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

3.0K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.6K
Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.5K

Area of Science:

  • Occupational Epidemiology
  • Public Health
  • Environmental Health

Background:

  • Job Exposure Matrices (JEM) were initially developed to estimate chemical exposures for epidemiological research.
  • JEMs have expanded to include physical, biological, and psychosocial factors impacting diverse health outcomes.
  • Recent advancements show JEMs' utility beyond research, serving as tools for clinicians and occupational health practitioners.

Purpose of the Study:

  • To review the evolution and expanding applications of Job Exposure Matrices.
  • To highlight contemporary JEM developments, including those for healthcare workers and the use of machine learning.
  • To emphasize the importance of ethical considerations and awareness of exposure variability in JEM application.

Main Methods:

  • Review of the historical development of Job Exposure Matrices.
  • Analysis of recent trends and technological integrations (e.g., machine learning, web platforms).
  • Discussion of JEM applications across various occupational health domains and stakeholder groups.

Main Results:

  • JEMs have broadened scope from chemical exposures to a wide range of occupational hazards.
  • Advanced methods like machine learning and accessible platforms are enhancing JEM utility.
  • JEMs are increasingly utilized by diverse professionals and workers for exposure assessment and information.

Conclusions:

  • Job Exposure Matrices are versatile tools with expanding applications in occupational health.
  • Ethical guidelines and awareness of exposure variability are essential for responsible JEM implementation.
  • Continued development of JEMs is vital for protecting worker health across various industries.