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Related Concept Videos

Sampling Plans01:23

Sampling Plans

565
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
565
Stratified Sampling Method01:16

Stratified Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
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Convenience Sampling Method00:55

Convenience Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
10.4K
Random Sampling Method01:09

Random Sampling Method

13.5K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
13.5K
Cluster Sampling Method01:20

Cluster Sampling Method

13.5K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
13.5K
Systematic Sampling Method01:17

Systematic Sampling Method

11.8K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
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Related Experiment Video

Updated: Nov 8, 2025

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
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Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Published on: June 23, 2022

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Sample pooling: burden or solution?

Nadja Grobe1, Alhaji Cherif1, Xiaoling Wang1

  • 1Renal Research Institute, New York, NY, USA.

Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases
|April 20, 2021
PubMed
Summary
This summary is machine-generated.

Pool testing combines multiple samples for efficient infectious disease screening, particularly for COVID-19. Overcoming operational challenges is key to widespread implementation of this valuable public health strategy.

Keywords:
AntibodyAntigenCOVID-19Pool testingRT-PCRSARS-CoV-2Viral

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Related Experiment Videos

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Area of Science:

  • * Public Health
  • * Infectious Disease Epidemiology
  • * Diagnostic Testing

Background:

  • * Pool testing, a strategy of combining multiple samples for group testing, offers efficiency in screening.
  • * Historically applied to syphilis, it has gained prominence for coronavirus disease 2019 (COVID-19) screening globally.
  • * Pool testing aids in managing limited test availability and improving reporting speed during pandemics.

Purpose of the Study:

  • * To provide a comprehensive global overview of pool testing implementation for COVID-19 screening.
  • * To review the history, theory, and practical applications of pool testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

Main Methods:

  • * A narrative review of peer-reviewed articles and preprints.
  • * Data sourced from Medline/PubMed, medRxiv, Web of Science, and Google searches up to March 21, 2021.
  • * Keywords included "pool testing", "viral", "serum", "SARS-CoV-2", and "COVID-19".

Main Results:

  • * Numerous successful historical and contemporary examples of pool testing were identified.
  • * The review covers general pool testing and specific applications for SARS-CoV-2 RNA and antibody detection.
  • * Significant operational, pre-analytical, logistical, and economic challenges were highlighted.

Conclusions:

  • * The theory and successful applications of pool testing are well-established.
  • * Successful implementation requires sophisticated, locally adaptable processes for sample collection and pooling.
  • * Strategies to prevent re-sampling are crucial for optimizing pool testing efficiency.