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Related Concept Videos

Retrovirus Life Cycles01:10

Retrovirus Life Cycles

Retroviruses have a single-stranded RNA genome that undergoes a special form of replication. Once the retrovirus has entered the host cell, an enzyme called reverse transcriptase synthesizes double-stranded DNA from the retroviral RNA genome. This DNA copy of the genome is then integrated into the host’s genome inside the nucleus via an enzyme called integrase. Consequently, the retroviral genome is transcribed into RNA whenever the host’s genome is transcribed, allowing the retrovirus to...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This phenomenon...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Hormonal Regulation01:33

Hormonal Regulation

The renin-aldosterone system is an endocrine system which guides the renal absorption of water and electrolytes, thus managing blood pressure and osmoregulation. Activation of the system begins in the kidneys with a small cluster of cells adjacent to the afferent and efferent blood vessels of the renal corpuscle. As the nephrons are filtering blood, juxtaglomerular cells monitor blood pressure. If they detect a decrease in pressure, they release the hormone renin into the bloodstream.

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Related Experiment Video

Updated: Jun 11, 2026

Collection, Isolation, and Flow Cytometric Analysis of Human Endocervical Samples
12:34

Collection, Isolation, and Flow Cytometric Analysis of Human Endocervical Samples

Published on: July 6, 2014

Hormonal contraception and HIV acquisition: reanalysis using marginal structural modeling.

Charles S Morrison1, Pai-Lien Chen, Cynthia Kwok

  • 1Behavioral and Biomedical Research Division, Family Health International, Research Triangle Park, North Carolina 27709, USA. cmorrison@fhi.org

AIDS (London, England)
|July 1, 2010
PubMed
Summary

Depo-medroxyprogesterone acetate (DMPA) use is linked to higher HIV risk, particularly in young women. Combined oral contraceptives (COCs) showed no increased risk in this reanalysis.

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Ex Vivo Infection of Human Lymphoid Tissue and Female Genital Mucosa with Human Immunodeficiency Virus 1 and Histoculture

Published on: October 12, 2018

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Last Updated: Jun 11, 2026

Collection, Isolation, and Flow Cytometric Analysis of Human Endocervical Samples
12:34

Collection, Isolation, and Flow Cytometric Analysis of Human Endocervical Samples

Published on: July 6, 2014

Ex Vivo Infection of Human Lymphoid Tissue and Female Genital Mucosa with Human Immunodeficiency Virus 1 and Histoculture
11:14

Ex Vivo Infection of Human Lymphoid Tissue and Female Genital Mucosa with Human Immunodeficiency Virus 1 and Histoculture

Published on: October 12, 2018

Area of Science:

  • Reproductive Health
  • Infectious Diseases
  • Epidemiology

Background:

  • Hormonal contraceptives are widely used globally.
  • The association between hormonal contraceptive use and HIV acquisition is not fully understood.
  • Previous studies have yielded conflicting results regarding this association.

Purpose of the Study:

  • To reanalyze data from the Hormonal Contraception and HIV Study.
  • To investigate the relationship between specific hormonal contraceptives and HIV acquisition.
  • To address potential biases in previous analyses.

Main Methods:

  • Utilized marginal structural modeling to account for time-dependent confounding.
  • Replicated the original study's analytical approach closely.
  • Analyzed data focusing on depo-medroxyprogesterone acetate (DMPA) and combined oral contraceptives (COCs).

Main Results:

  • Depo-medroxyprogesterone acetate (DMPA) use was associated with an increased risk of HIV acquisition.
  • Combined oral contraceptives (COCs) were not associated with an increased risk of HIV acquisition.
  • Younger women (18-24 years) using DMPA or COCs showed an elevated HIV risk compared to older women.

Conclusions:

  • DMPA use may increase HIV acquisition risk, especially in younger women.
  • COCs do not appear to increase HIV acquisition risk based on this analysis.
  • Further research is warranted to understand contraceptive-specific HIV risks.