Format

Send to

Choose Destination
See comment in PubMed Commons below
Korean J Parasitol. 2009 Sep;47(3):235-41. doi: 10.3347/kjp.2009.47.3.235. Epub 2009 Aug 28.

Effectiveness of repeated examination to diagnose enterobiasis in nursery school groups.

Author information

  • 1Tartu Health Care College, Tartu, Estonia. mareremm@nooruse.ee

Abstract

The aim of this study was to estimate the benefit from repeated examinations in the diagnosis of enterobiasis in nursery school groups, and to test the effectiveness of individual-based risk predictions using different methods. A total of 604 children were examined using double, and 96 using triple, anal swab examinations. The questionnaires for parents, structured observations, and interviews with supervisors were used to identify factors of possible infection risk. In order to model the risk of enterobiasis at individual level, a similarity-based machine learning and prediction software Constud was compared with data mining methods in the Statistica 8 Data Miner software package. Prevalence according to a single examination was 22.5%; the increase as a result of double examinations was 8.2%. Single swabs resulted in an estimated prevalence of 20.1% among children examined 3 times; double swabs increased this by 10.1%, and triple swabs by 7.3%. Random forest classification, boosting classification trees, and Constud correctly predicted about 2/3 of the results of the second examination. Constud estimated a mean prevalence of 31.5% in groups. Constud was able to yield the highest overall fit of individual-based predictions while boosting classification tree and random forest models were more effective in recognizing Enterobius positive persons. As a rule, the actual prevalence of enterobiasis is higher than indicated by a single examination. We suggest using either the values of the mean increase in prevalence after double examinations compared to single examinations or group estimations deduced from individual-level modelled risk predictions.

KEYWORDS:

Enterobius vermicularis; boosting classification trees; nursery school children; random forest classification; repeated examinations; similarity-based estimation

PMID:
19724696
PMCID:
PMC2735688
DOI:
10.3347/kjp.2009.47.3.235
[PubMed - indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for The Korean Society for Parasitology Icon for PubMed Central
    Loading ...
    Support Center