Related Experiment Video

Updated: Jan 29, 2026

Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies
10:11

Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies

Published on: October 22, 2014

19.7K

[(CLONORCHIASIS: GLOBAL AND REGIONAL EPIDEMIOLOGY)]

G N Chelomina

    Meditsinskaia Parazitologiia I Parazitarnye Bolezni
    |February 6, 2019
    PubMed

    More Related Videos

    Measuring Near Plasma Membrane and Global Intracellular Calcium Dynamics in Astrocytes12:48

    Measuring Near Plasma Membrane and Global Intracellular Calcium Dynamics in Astrocytes

    Published on: April 26, 2009

    13.5K
    Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen11:32

    Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

    Published on: May 24, 2017

    12.6K

    Related Concept Videos

    Global Climate Change01:50

    Global Climate Change

    Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
    28.9K
    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,...
    1.8K
    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...
    1.6K
    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...
    959
    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...
    793
    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:  
    1.3K