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

Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results from...
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

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...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Healthcare Agencies II01:17

Healthcare Agencies II

There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources, and lay...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Community Based Intervention01:30

Community Based Intervention

Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...

You might also read

Related Articles

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

Sort by
Same author

Therapy-facilitated integration responsibility: qualitative interviews with refugee psychotherapy clients in Germany.

BMC psychiatry·2026
Same author

Scaling hypertension treatment in 24 low-income and middle-income countries: economic evaluation of treatment decisions at three blood pressure cut-points.

BMJ open·2024
Same author

A Digital Intervention to Improve Skin Self-Examination Among Survivors of Melanoma: Protocol for a Type-1 Hybrid Effectiveness-Implementation Randomized Trial.

JMIR research protocols·2024
Same author

Assessing the Impact of COVID-19 on HIV Outcomes in the United States: A Modeling Study.

Sexually transmitted diseases·2024
Same author

Treatment Interruption and Regimen Change in Firstgeneration versus Second-generation Tyrosine Kinase Inhibitors used as First-line Therapy for Chronic Myeloid Leukemia.

Journal of health economics and outcomes research·2023
Same author

Key insights on multisector community partnerships from real-world efforts to address social determinants of health.

Evaluation and program planning·2023

Related Experiment Video

Updated: Jul 13, 2026

A Restriction Enzyme Based Cloning Method to Assess the In vitro Replication Capacity of HIV-1 Subtype C Gag-MJ4 Chimeric Viruses
14:23

A Restriction Enzyme Based Cloning Method to Assess the In vitro Replication Capacity of HIV-1 Subtype C Gag-MJ4 Chimeric Viruses

Published on: August 31, 2014

A linear programming model for allocating HIV prevention funds with state agencies: a pilot study.

Stephanie R Earnshaw1, Katherine Hicks, Anke Richter

  • 1RTI Health Solutions, RTI International, 3040 Cornwallis Road, Research Triangle Park, NC 27709, USA. searnshaw@rti.org

Health Care Management Science
|August 19, 2007
PubMed
Summary

This study introduces a linear programming model to optimize HIV prevention resource allocation. The model shows potential to avert up to 73% more infections, but the most efficient strategy is inequitable.

More Related Videos

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
23:56

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

Pairwise Growth Competition Assay for Determining the Replication Fitness of Human Immunodeficiency Viruses
11:19

Pairwise Growth Competition Assay for Determining the Replication Fitness of Human Immunodeficiency Viruses

Published on: May 4, 2015

Related Experiment Videos

Last Updated: Jul 13, 2026

A Restriction Enzyme Based Cloning Method to Assess the In vitro Replication Capacity of HIV-1 Subtype C Gag-MJ4 Chimeric Viruses
14:23

A Restriction Enzyme Based Cloning Method to Assess the In vitro Replication Capacity of HIV-1 Subtype C Gag-MJ4 Chimeric Viruses

Published on: August 31, 2014

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
23:56

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

Pairwise Growth Competition Assay for Determining the Replication Fitness of Human Immunodeficiency Viruses
11:19

Pairwise Growth Competition Assay for Determining the Replication Fitness of Human Immunodeficiency Viruses

Published on: May 4, 2015

Area of Science:

  • Public Health
  • Operations Research
  • Epidemiology

Background:

  • Resource allocation for HIV prevention is critical for public health initiatives.
  • Existing strategies may not be optimally efficient or equitable.
  • Decision-makers require tools to guide effective resource distribution.

Purpose of the Study:

  • To design and pilot a linear programming model for optimizing HIV prevention resource allocation.
  • To evaluate the model's performance under various resource constraint scenarios.
  • To assess the trade-offs between efficiency and equity in resource allocation.

Main Methods:

  • Development of a linear programming model tailored for state and local decision-makers.
  • Pilot study conducted using data from Florida.
  • Analysis of multiple scenarios simulating resource allocation constraints.

Main Results:

  • The model demonstrated potential to avert up to 73% more HIV infections compared to past strategies.
  • The most efficient allocation strategy resulted in only 12% of at-risk individuals receiving funds.
  • Less efficient strategies, averting 58% fewer infections, achieved significantly more equitable resource distribution.

Conclusions:

  • Linear programming offers a valuable tool for optimizing HIV prevention resource allocation.
  • Policymakers must balance the efficiency gains of optimal allocation with the need for equitable distribution.
  • The developed model can guide decision-makers in allocating prevention funds effectively and equitably.