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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
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Improving cohort coverage estimation using a data triangulation framework: the Swiss HIV Cohort Study example.

Jessy J Duran Ramirez1,2, Roger D Kouyos1,2, Irene Abela1,2

  • 1Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich.

AIDS (London, England)
|April 10, 2026
PubMed
Summary
This summary is machine-generated.

A data triangulation framework improved estimation of Swiss HIV Cohort Study (SHCS) coverage. While broadly representative, the SHCS needs strategies to include underrepresented groups for continued research generalizability.

Keywords:
HIV epidemicHIV surveillancecohort coveragecohort studydata triangulationrepresentativeness

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Area of Science:

  • Epidemiology
  • Public Health
  • Biostatistics

Background:

  • The Swiss HIV Cohort Study (SHCS) is crucial for HIV research in Switzerland.
  • Accurate estimation of cohort coverage and representativeness is vital for generalizability.
  • Data triangulation offers a novel approach to validate cohort data.

Purpose of the Study:

  • To enhance the estimation of cohort coverage within the SHCS.
  • To assess the representativeness of the SHCS using multiple data sources.
  • To implement a data triangulation framework for ongoing monitoring.

Main Methods:

  • Retrospective longitudinal analysis of SHCS data (1985-2023).
  • Triangulation of SHCS data with national HIV/AIDS surveillance, ART sales data, and literature.
  • Assessment of temporal trends and demographic representativeness by sex, age, HIV acquisition mode, and region.

Main Results:

  • Over 38 years, mean SHCS coverage was 62.4% for HIV diagnoses, 74.0% for AIDS, and 64.9% for ART uptake.
  • Coverage of HIV diagnoses declined recently, with observed geographical heterogeneity.
  • While broadly representative, females, older adults, and individuals with heterosexually acquired HIV were underrepresented.

Conclusions:

  • Data triangulation is a practical method for monitoring cohort coverage and representativeness.
  • Tailored strategies are necessary to improve the inclusion of underrepresented subgroups in the SHCS.
  • Sustained monitoring ensures research generalizability and informs clinical care and public health responses.