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

Validating marker-based incidence estimates in repeatedly screened populations.

G A Satten1, R Janssen, M P Busch

  • 1Division of HIV/AIDS Prevention-Surveillance and Epidemiology, National Center for HIV, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA. gas0@cdc.gov

Biometrics
|April 21, 2001
PubMed
Summary

Estimating disease incidence using cross-sectional data is challenging when individuals are sampled multiple times. This study extends existing methods to accurately measure incidence in repeatedly screened populations, like blood donors, improving human immunodeficiency virus (HIV) surveillance.

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

Estimated US Trends in SARS-CoV-2 Spike Antibody Concentrations and Correlation to Risk of First-Time Infections Based on Blood Donations, 2022.

The Journal of infectious diseases·2025
Same author

Variants in the L12 linker domain of KRT10 are causal to atypical epidermolytic ichthyosis.

The Journal of dermatology·2024
Same author

[The relationship of mental health providers with health insurers; an exploration].

Tijdschrift voor psychiatrie·2024
Same author

TB and women: a call to action.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2020
Same author

[Rheumatoid arthritis: more than a joint disease].

Nederlands tijdschrift voor geneeskunde·2020
Same author

Estimated dates of detectable infection (EDDIs) as an improvement upon Fiebig staging for HIV infection dating.

Epidemiology and infection·2020

Area of Science:

  • Epidemiology
  • Biostatistics

Background:

  • Disease incidence is typically measured using longitudinal data.
  • Recent methods for estimating human immunodeficiency virus (HIV) incidence rely solely on cross-sectional data.
  • Existing cross-sectional methods assume individuals are sampled only once.

Purpose of the Study:

  • To extend cross-sectional incidence estimators for use with repeatedly screened populations.
  • To identify conditions under which the new estimator simplifies to the original estimator.
  • To apply the extended estimator to estimate HIV incidence in a population of repeat blood donors.

Main Methods:

  • Derivation of an extended cross-sectional incidence estimator.
  • Analysis of conditions for the new estimator to reduce to the existing estimator.

Related Experiment Videos

  • Application to a dataset of repeat blood donors for HIV incidence estimation.

    • Main Results:

    • An extended cross-sectional incidence estimator was derived.
    • Conditions for the new estimator to converge to the existing one were established.
    • The method was successfully applied to estimate HIV incidence among repeat blood donors.

    Conclusions:

    • The developed estimator provides a valid approach for incidence estimation in repeatedly screened populations.
    • This method enhances the accuracy of disease incidence measurements, particularly for human immunodeficiency virus (HIV).
    • The findings are crucial for surveillance in populations with non-unique sampling.