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Related Concept Videos

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,...
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health condition at a...
Study Designs in Epidemiology01:20

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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Causality in Epidemiology01:21

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Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
Bias in Epidemiological Studies01:29

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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:
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:

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Paper vs. electrons. Epidemiologic publishing in a changing world.

Rothenberg1, Frank, Fitzmaurice

  • 1Emory University School of Medicine, Atlanta, GA, USA

Annals of Epidemiology
|October 6, 2000
PubMed
Summary

Epidemiologic and electronic publishing have grown significantly. While electronic publishing offers advantages like speed and flexibility, careful consideration of its impact on peer review and credibility is essential for the future of scientific communication.

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Area of Science:

  • Epidemiology
  • Scholarly Publishing
  • Information Science

Background:

  • Epidemiologic publication has seen steady growth using traditional print methods.
  • Scholarly electronic publishing has experienced exponential growth in recent years.

Purpose of the Study:

  • To analyze the parallel development of epidemiologic and electronic publishing.
  • To evaluate the positive and negative implications of integrating these two fields.

Main Methods:

  • Quantitative assessment of epidemiologic journal publication (1966-1999).
  • Literature review of scholarly electronic publication (1991-1997).
  • Case study of an online journal and review of IT opinions.

Main Results:

  • Epidemiologic publication grew moderately, adding six journals since 1966.
  • Electronic scholarly journals increased from 27 to 2459 between 1991-1997.
  • Electronic publishing offers flexibility, faster publication, and diverse presentation but poses risks to peer review and credibility.

Conclusions:

  • The transition to electronic publishing is likely inevitable but requires a measured approach.
  • Dual publishing models are emerging, with potential widespread adoption in epidemiology.
  • Future publishing landscapes will be shaped by market forces and technological advancements.