Related Experiment Video

Updated: Jan 5, 2026

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

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

Published on: April 9, 2021

4.5K

[Errata corrige: Epidemiol Prev 2016;40(1) Suppl 1:42]

    Epidemiologia E Prevenzione
    |October 29, 2019
    PubMed

    More Related Videos

    Author Spotlight: Advancing Pathogen Detection and Disease Assessment in Real-Time Using M-ROSE03:22

    Author Spotlight: Advancing Pathogen Detection and Disease Assessment in Real-Time Using M-ROSE

    Published on: March 1, 2024

    794
    Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens09:08

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

    Published on: September 12, 2016

    9.0K

    Related Concept Videos

    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:  
    1.2K
    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,...
    1.6K
    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...
    544
    Principles of Disease Surveillance01:26

    Principles of Disease Surveillance

    Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
    431
    Healthcare Associated Infections II: Preventive Measures01:22

    Healthcare Associated Infections II: Preventive Measures

    Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
    The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
    3.5K
    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:
    853