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

Estimating population size with two- and three-stage sampling designs.

Jacqueline E Tate1, Michael G Hudgens

  • 1Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. jqt8@cdc.gov

American Journal of Epidemiology
|April 3, 2007
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

Rotavirus Vaccine Coverage and Potential Barriers Among US Children Born From 2007 to 2024.

Pediatrics·2026
Same author

Impact of Rotavirus Vaccine on Rotavirus Diarrhea-Associated Hospitalizations among Children under 5 Years of Age in Uganda.

Journal of the Pediatric Infectious Diseases Society·2026
Same author

Real-World Effectiveness of Rotavirus Vaccine Against Rotavirus Disease Among Children < 2 Year of Age in Mali.

Journal of the Pediatric Infectious Diseases Society·2026
Same author

Effectiveness of monovalent rotavirus vaccine among young children in Pakistan: a test-negative case-control evaluation.

Vaccine·2026
Same author

Clinical, Molecular and Evolutionary Characterization of Noroviruses in Hospitalized Children With Acute Gastroenteritis in Vietnam, 2016 to 2021.

Journal of medical virology·2026
Same author

Rotavirus-specific IgA and IgG Patterns During the First Two Years of Life in the PREVAIL Birth Cohort.

The Journal of infectious diseases·2026

This study extends an unbiased population size estimator to multi-venue settings using two- and three-stage sampling. This method improves health program monitoring in at-risk populations, such as those at risk for sexually transmitted infections.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Public Health

Background:

  • Accurate population size estimation is crucial for health program development and monitoring in at-risk groups.
  • Existing methods often focus on single-venue populations, limiting their applicability to complex social networks.
  • Populations engaging in activities at multiple public venues require specialized estimation techniques.

Purpose of the Study:

  • To generalize the Laska, Meisner, and Siegel unbiased estimator for population size.
  • To adapt the estimator for two- and three-stage sampling designs.
  • To enable accurate estimation of total population size across multiple venues.

Main Methods:

  • Extension of the Laska, Meisner, and Siegel estimator.
  • Incorporation of two-stage sampling designs.

Related Experiment Videos

  • Incorporation of three-stage sampling designs.

    • Main Results:

    • The generalized estimator provides unbiased population size estimates in multi-venue settings.
    • The method is effective for populations frequenting multiple public venues over time.
    • Illustrative examples demonstrate successful application in estimating populations at risk for HIV and STIs.

    Conclusions:

    • The generalized estimator enhances the ability to monitor health in populations across multiple venues.
    • This approach is valuable for public health initiatives targeting mobile or widely distributed at-risk groups.
    • Improved population size estimation facilitates more effective health interventions and resource allocation.