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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,...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

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

Causality in Epidemiology

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

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:
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:
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:

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Unmet needs and unused skills: physicians' reflections on their liberal arts education.

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Related Experiment Video

Updated: Jul 18, 2026

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens
09:08

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

Published on: September 12, 2016

Epidemiology as a liberal art.

D W Fraser

    The New England Journal of Medicine
    |February 5, 1987
    PubMed
    Summary

    Epidemiology, a low-technology science, offers valuable liberal arts skills applicable to diverse problems. Its emphasis on scientific methods and reasoning makes it ideal for undergraduate and medical education, showcasing the enduring relevance of a liberal education.

    Area of Science:

    • Public Health
    • Epidemiology
    • Medical Education

    Background:

    • Epidemiology shares characteristics with traditional liberal arts disciplines.
    • This interdisciplinary nature makes it suitable for undergraduate curricula.
    • It serves as a model in medical schools for the value of a liberal education.

    Purpose of the Study:

    • To highlight epidemiology's accessibility to non-specialists.
    • To demonstrate its utility in initial problem assessment.
    • To illustrate how epidemiology cultivates essential liberal education thinking skills.

    Main Methods:

    • Analysis of epidemiological principles and their alignment with liberal arts education.
    • Examination of epidemiology as a "low-technology" science.

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    Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

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    Last Updated: Jul 18, 2026

    Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens
    09:08

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    Published on: September 12, 2016

    Remote Laboratory Management: Respiratory Virus Diagnostics
    14:56

    Remote Laboratory Management: Respiratory Virus Diagnostics

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    Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
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  • Focus on the methodological and reasoning aspects of epidemiology.

    • Main Results:

    • Epidemiology is readily understood by non-specialists due to its low-technology nature.
    • Its applicability spans a wide range of phenomena, aiding in initial problem-solving.
    • Epidemiology emphasizes scientific method, analogic thinking, deductive reasoning, and problem-solving within constraints.

    Conclusions:

    • Epidemiology's structure and methods align well with liberal arts education goals.
    • It effectively demonstrates the practical application of critical thinking and scientific reasoning.
    • The study underscores epidemiology's role in fostering a well-rounded, analytical mindset in students.