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 Experiment Videos

Planning for alcohol-problem prevention through complex systems modeling: results from SimCom

H D Holder1

  • 1Prevention Research Center, Berkeley, CA 94704, USA.

Substance Use & Misuse
|April 9, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

The NIfETy method for environmental assessment of neighborhood-level indicators of violence, alcohol, and other drug exposure.

Prevention science : the official journal of the Society for Prevention Research·2008
Same author

Time is now for bold 21st century approaches for studying alcohol abuse and alcoholism.

Alcoholism, clinical and experimental research·2001
Same author

Prevention research and its actual application to health services.

The journal of behavioral health services & research·2001
Same author

Community prevention trials: a respectful partnership.

American journal of health behavior·2001
Same author

Prevention of alcohol problems in the 21st century: challenges and opportunities.

The American journal on addictions·2001
Same author

The supply side initiative as an international collaboration to study alcohol supply, drinking, and consequences: current knowledge, policy issues, and research opportunities.

Addiction (Abingdon, England)·2001

This study introduces SimCom, a computer model for alcohol misuse interventions. It forecasts prevention strategy impacts using local data, with benchmark testing in California.

Area of Science:

  • Public Health
  • Computational Modeling
  • Substance Abuse Research

Background:

  • Alcohol misuse poses significant public health challenges.
  • Effective prevention strategies require data-driven forecasting.
  • Existing models may lack adaptability to local contexts.

Purpose of the Study:

  • To introduce SimCom, a versatile computer-based model for alcohol use and misuse interventions.
  • To demonstrate the model's capability in forecasting prevention strategy outcomes.
  • To present benchmark testing and projected strategies for California.

Main Methods:

  • Development of a generic computer-based model (SimCom) integrating eight interaction subsystems.
  • Incorporation of scientific knowledge into the model's architecture.

Related Experiment Videos

  • Loading the model with locality-specific data for simulation and forecasting.

    • Main Results:

    • The SimCom model successfully simulated California's context.
    • Benchmark testing validated the model's forecasting ability for prevention strategies.
    • Projected outcomes for various prevention strategies in California were generated.

    Conclusions:

    • SimCom provides a robust framework for evaluating alcohol misuse interventions.
    • The model's adaptability to local data enhances its utility for public health planning.
    • Data-driven forecasting with SimCom can inform effective, targeted prevention efforts.