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

You might also read

Related Articles

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

Sort by
Same author

How Big Is the "Gray Area"? Navigating Health-Threatening Previability Pregnancy Complications in States With Abortion Restrictions.

Annals of internal medicine·2026
Same author

Assessing mpox knowledge and sexual behaviours within high-risk populations in the Democratic Republic of the Congo.

BMJ global health·2026
Same author

Estimated Impacts of Rotavirus Vaccine Recommendation Changes in the U.S.

medRxiv : the preprint server for health sciences·2026
Same author

Cost-Effectiveness of Community Tuberculosis Screening in South Africa.

American journal of respiratory and critical care medicine·2026
Same author

Component Clinical and Cost Outcomes Complementing Value of Information: Case Study of a Tuberculosis Diagnostics Clinical Trial.

PharmacoEconomics·2026
Same author

Potential long-acting tuberculosis treatment for people with HIV: cost-effectiveness benchmarks.

Annals of the American Thoracic Society·2026

Related Experiment Video

Updated: Feb 26, 2026

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

17.3K

An Adaptive Approach to Locating Mobile HIV Testing Services.

Gregg S Gonsalves1,2, Forrest W Crawford3,4,5, Paul D Cleary6

  • 1Department of the Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA (GSG).

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|July 13, 2017
PubMed
Summary

Thompson Sampling, an adaptive strategy, identified 15% more HIV cases in mobile testing simulations compared to other methods. This approach offers practical advantages for public health HIV hotspot targeting.

Keywords:
Bayesian search theoryHIV testingbandit algorithms

More Related Videos

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
19:57

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

19.4K
The α-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva
11:22

The α-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva

Published on: May 16, 2012

14.3K

Related Experiment Videos

Last Updated: Feb 26, 2026

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

17.3K
An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
19:57

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

19.4K
The α-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva
11:22

The α-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva

Published on: May 16, 2012

14.3K

Area of Science:

  • Public Health
  • Epidemiology
  • Computer Science

Background:

  • Public health agencies aim to identify undiagnosed HIV infections by targeting
  • hotspots,
  • but definitions and optimal strategies for mobile HIV testing remain unclear.

Purpose of the Study:

  • To compare the effectiveness of four algorithms for mobile HIV testing resource allocation.
  • To determine the optimal strategy for identifying undiagnosed HIV cases in targeted testing initiatives.

Main Methods:

  • A computer-based tournament simulated mobile HIV testing scenarios over 180 rounds.
  • Four algorithms were evaluated: Thompson Sampling (adaptive Bayesian), Explore-then-Exploit, Retrospection, and Clairvoyance (perfect information benchmark).
  • Algorithms selected zones with unknown HIV prevalence for a fixed number of tests.

Main Results:

  • Thompson Sampling outperformed Explore-then-Exploit in 66% of runs, detecting 15% more HIV cases.
  • Thompson Sampling achieved case detection rates within 90% of the Clairvoyance benchmark.
  • Retrospection consistently yielded the poorest results.

Conclusions:

  • Adaptive strategies, specifically Thompson Sampling, are practical and effective for mobile HIV testing.
  • Thompson Sampling demonstrates potential advantages over traditional or simpler strategies for HIV hotspot targeting.