Related Experiment Video
Updated: Feb 6, 2026

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
Published on: December 27, 2010
[Survival analysis in people diagnosed with HIV/AIDS in Puerto Rico]
Melissa Marzán-Rodríguez1, Diego E Zavala Segarra2, Juan Carlas Orengo Valverde3
1Es Investigadora Post-Doctoral en el Centro de Investigación y Evaluación Sociomédica del Recinto de Ciencias Médicas de la Universidad de Puerto Rico. Profesora Asistente en Epidemiología del Programa de Salud Pública de la Ponce Health Sciences University
After the introduction of HAART, the HIV/AIDS epidemiological trends has shown an increasing in the survival rates. HAART has dramatically improved the life expectancy of HIV/AIDS. The objective of this study was to estimate survival in people diagnosed with HIV/AIDS in Puerto Rico (PR) from 2003-2011. A population-based study using the PR HIV Surveillance System was implemented. A total of N = 9,290 people were diagnosed with HIV/AIDS in PR for 2003-2011 period. Cox regression models for survival analysis were assessed. Survival at 6 years after diagnosis in HIV patients was 0.87 (CI95%: 0.09, 0.72) when compare with AIDS patients at same time of diagnosis was 0.57 (CI95%: 0.55, 0.60) p<0.001. Intravenous drug users [IDU] have less probability of survival at 5 years after diagnosis when compare with other transmission modes 0.69 (CI95%: 0.67, 0.71) p<0.001. Assertive prevention strategies must be developed and implemented in PR for IDU's in order to increase their survival rates.
After the introduction of HAART, the HIV/AIDS epidemiological trends has shown an increasing in the survival rates. HAART has dramatically improved the life expectancy of HIV/AIDS. The objective of this study was to estimate survival in people diagnosed with HIV/AIDS in Puerto Rico (PR) from 2003-2011. A population-based study using the PR HIV Surveillance System was implemented. A total of N = 9,290 people were diagnosed with HIV/AIDS in PR for 2003-2011 period. Cox regression models for survival analysis were assessed. Survival at 6 years after diagnosis in HIV patients was 0.87 (CI95%: 0.09, 0.72) when compare with AIDS patients at same time of diagnosis was 0.57 (CI95%: 0.55, 0.60) p<0.001. Intravenous drug users [IDU] have less probability of survival at 5 years after diagnosis when compare with other transmission modes 0.69 (CI95%: 0.67, 0.71) p<0.001. Assertive prevention strategies must be developed and implemented in PR for IDU's in order to increase their survival rates.
Related Concept Videos
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Comparing the Survival Analysis of Two or More Groups
Truncation in Survival Analysis
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
Assumptions of Survival Analysis
Cancer Survival Analysis
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...

