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Related Concept Videos

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:
Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and refractory oxide ion...
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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Causality in Epidemiology01:21

Causality in Epidemiology

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Related Experiment Video

Updated: May 11, 2026

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

Epidemiological interference.

F B Bang1

  • 1Johns Hopkins Center for Medical Research, Department of Pathobiology, The Johns Hopkins University, School of Hygiene and Public Health, Baltimore, Maryland 21205, USA.

International Journal of Epidemiology
|May 21, 2013
PubMed
Summary
This summary is machine-generated.

Epidemiological interference, or virus competition for soil, influences disease patterns. This competition affects virus localization, seasonal prevalence, and delays childhood infections into adulthood.

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Last Updated: May 11, 2026

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

Area of Science:

  • Epidemiology
  • Virology
  • Ecology

Background:

  • High intensity of disease transmission involves large virus populations.
  • Competition among viruses for resources, such as soil, can occur.
  • This competition is termed epidemiological interference.

Purpose of the Study:

  • To investigate epidemiological interference caused by virus competition.
  • To examine the impact of competition on disease patterns in West Bengal and Nepal.

Main Methods:

  • Observational studies in West Bengal, India, and Nepal.
  • Analysis of virus population dynamics and disease transmission patterns.

Main Results:

  • Competition for space led to the localization of specific adenovirus types.
  • Seasonal variations in prevalence were linked to competition during different seasons.
  • Competition for soil and delayed immunization postponed childhood disease onset to adulthood.
  • High prevalence of poliovirus in young children in rural West Bengal was explained by this phenomenon.

Conclusions:

  • Epidemiological interference is a significant factor shaping viral disease dynamics.
  • Virus competition influences disease localization, seasonality, and age of infection.
  • Understanding competition is crucial for predicting and managing infectious disease outbreaks.