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

Modeling in Therapy01:26

Modeling in Therapy

48
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
48
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

97
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
97
Theoretical Approaches to Psychological Disorder01:29

Theoretical Approaches to Psychological Disorder

93
The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
93
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

49
Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
49
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

27
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
27
Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

44
The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
44
  1. Home
  2. Dynamic Simulation Models Of Suicide And Suicide-related Behaviors: Systematic Review.
  1. Home
  2. Dynamic Simulation Models Of Suicide And Suicide-related Behaviors: Systematic Review.

Related Experiment Video

Animal Models of Depression - Chronic Despair Model CDM
05:47

Animal Models of Depression - Chronic Despair Model CDM

Published on: September 23, 2021

7.1K

Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic Review.

Genevieve Gariepy1, Rifat Zahan2, Nathaniel D Osgood2,3

  • 1Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada.

JMIR Public Health and Surveillance
|December 2, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Dynamic simulation models offer a powerful approach to understanding and preventing suicide. This review highlights their growing utility in analyzing complex interventions and informing public health strategies for suicide prevention.

Keywords:
agent-based modelingcomplex systemcomplexity sciencedatabasedepressiondiscrete-event simulationdynamic modelingdynamic simulationmental statemicrosimulationqualitative studystresssuicidesystem dynamicssystematic reviewsystems science

More Related Videos

A New Method for Inducing a Depression-Like Behavior in Rats
07:57

A New Method for Inducing a Depression-Like Behavior in Rats

Published on: February 22, 2018

20.8K
The Forced Swim Test as a Model of Depressive-like Behavior
05:42

The Forced Swim Test as a Model of Depressive-like Behavior

Published on: March 2, 2015

37.1K

Related Experiment Videos

Animal Models of Depression - Chronic Despair Model CDM
05:47

Animal Models of Depression - Chronic Despair Model CDM

Published on: September 23, 2021

7.1K
A New Method for Inducing a Depression-Like Behavior in Rats
07:57

A New Method for Inducing a Depression-Like Behavior in Rats

Published on: February 22, 2018

20.8K
The Forced Swim Test as a Model of Depressive-like Behavior
05:42

The Forced Swim Test as a Model of Depressive-like Behavior

Published on: March 2, 2015

37.1K

Area of Science:

  • Public Health
  • Computational Epidemiology
  • Health Systems Modeling

Background:

  • Suicide is a global public health crisis, claiming over 700,000 lives annually and disproportionately affecting young adults.
  • Traditional research methods struggle to capture the intricate interplay of factors contributing to suicide.
  • Dynamic simulation modeling is increasingly recognized for its potential in informing suicide prevention strategies.

Conclusions:

  • Dynamic modeling of suicide is an emerging and rapidly expanding field, adaptable to diverse research questions and contexts.
  • While reporting quality is generally adequate, transparency and reproducibility require improvement in some studies.
  • Dynamic modeling holds significant potential as a decision-support tool for understanding and mitigating suicide and related behaviors.