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Related Concept Videos

Sampling Plans01:23

Sampling Plans

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...
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Anthelminthic Agents

Anthelmintic drugs differ significantly from antiparasitic therapies targeting protozoa, primarily due to differences in parasite biology. Whereas most protozoal treatments act on proliferating cells, anthelmintics are typically directed against mature, nonproliferative helminths. The therapeutic approach considers the helminth's reliance on neuromuscular coordination, glucose metabolism, and microtubular integrity for survival, reproduction, and localization within the host. Most anthelmintics...
Stratified Sampling Method01:16

Stratified Sampling Method

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...
Systematic Sampling Method01:17

Systematic Sampling Method

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: Jun 7, 2026

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children
10:57

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children

Published on: August 22, 2012

An intuitive sampling framework for setting-specific decision-making in soil-transmitted helminthiasis control

Adama Kazienga1,2, Bruno Levecke1, Sake J de Vlas2

  • 1Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium.

Plos Neglected Tropical Diseases
|June 5, 2026
PubMed
Summary
This summary is machine-generated.

This study refines a framework for soil-transmitted helminthiasis (STH) control programs, identifying cost-efficient survey designs and sample sizes for deworming decisions and elimination goals.

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Area of Science:

  • Public Health
  • Epidemiology
  • Infectious Disease Control

Background:

  • A general framework for egg count surveys was previously developed to aid soil-transmitted helminthiasis (STH) control program design.
  • Existing frameworks lacked intuitive interpretation for program managers regarding risk assessment.

Purpose of the Study:

  • To adapt the STH egg count framework for intuitive risk interpretation and incorporation of prior information.
  • To assess the impact of decision-making risk and prior data on required sample sizes.
  • To determine the most cost-efficient survey designs for transitioning to event-based deworming and declaring STH elimination as a public health problem (EPHP).

Main Methods:

  • Adapted an existing STH egg count framework to enhance intuitive risk assessment.
  • Evaluated the influence of allowable risk and prior information on sample size requirements.
  • Determined optimal survey designs, including sample sizes, for key STH program decisions.

Main Results:

  • Reduced allowable risk and increased prior information approaching thresholds raised required sample sizes.
  • Duplicate Kato-Katz thick smears per sample emerged as the most cost-efficient design for deworming switch and EPHP decisions.
  • Recommended sample sizes: 6 schools/56 children per school for event-based control transitions, and 11 schools/74 children per school for EPHP declaration.

Conclusions:

  • An intuitive, setting-specific sampling framework for STH control decision-making has been developed.
  • The study identified cost-efficient survey designs for critical STH program decisions, contingent on risk tolerance.
  • Consensus on acceptable risk levels within the STH community is vital for advancing evidence-based decision-making.