Geographical aspects of enterobiasis in Estonia.

This paper examines the geographical pattern of the prevalence of enterobiasis among children in Estonian counties, and methods for risk modelling. The methodological questions were as follows: Case-based predictions were more liable to result in over fitting in the case of small training samples than the classification tree models. The spatial autocorrelation of the prevalence was significant up to a distance of 20 km.

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

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.

Case-based estimation of the risk of enterobiasis.

Objective: To introduce an original case-based machine learning (ML) and prediction system Constud and its application on tabular data for estimation of the risk of enterobiasis among nursery school children in Estonia.

Methods And Materials: The system consists of a software application and a knowledge base of observation data, parameters, and results. The data were obtained from anal swabs for the diagnosis of enterobiasis, from questionnaires for children's parents, observations in nursery schools and interviews with supervisors of the groups.

Distribution of enterobiasis among nursery school children in SE Estonia and of other helminthiases in Estonia.

The occurrence of helminthiases in Estonia was under extensive observation from 1956 until 1989. Enterobiasis had remained the most prevalent helminthiasis in Estonia in the 1990s. After 1990, the number of helminthological studies decreased.