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Cercarial Transformation and in vitro Cultivation of Schistosoma mansoni Schistosomules
Published on: August 16, 2011
Multiple category-lot quality assurance sampling: a new classification system with application to schistosomiasis
Casey Olives1, Joseph J Valadez, Simon J Brooker
1Department of Biostatistics, University of Washington, Seattle, Washington, USA.
Plos Neglected Tropical Diseases
|September 13, 2012
Summary
Multiple Category-Lot Quality Assurance Sampling (MC-LQAS) reliably classifies Schistosoma mansoni prevalence using a small sample size. This method, enhanced by semi-curtailed and curtailed sampling, reduces observations without compromising accuracy in school settings.
Area of Science:
- Public Health
- Parasitology
- Statistical Methods
Background:
- Lot Quality Assurance Sampling (LQAS) is a classification tool for Schistosoma mansoni prevalence.
- Semi-curtailed sampling reduces observations needed for decisions in LQAS.
- Statistical underpinnings for Multiple Category-LQAS (MC-LQAS) require further development.
Purpose of the Study:
- To explore the analytical properties of MC-LQAS.
- To validate MC-LQAS for classifying S. mansoni prevalence in East African settings.
- To assess the impact of semi-curtailed and curtailed sampling on MC-LQAS.
Main Methods:
- Outlined MC-LQAS design principles and operating characteristic curves.
- Derived average sample number for MC-LQAS with semi-curtailed and curtailed sampling.
- Assessed MC-LQAS performance using kappa-statistic with sample sizes of n=15 and n=25.
Main Results:
- MC-LQAS demonstrated high overall classification performance (kappa=0.87).
- A sample size of n=15 achieved kappa > 0.75 in three of four studies.
- Semi-curtailed and curtailed sampling reduced sample size by 0.5 and 3.5 observations per school, respectively, without increasing error.
Conclusions:
- This study provides analytics for MC-LQAS in S. mansoni prevalence assessment.
- MC-LQAS with a sample size of 15 children reliably classifies school prevalence.
- MC-LQAS offers an efficient method for public health surveillance of S. mansoni.
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