| Summary: | The objective was to develop a model for prediction of trichinellosis severity in the acute period of the disease based on the minimum but sufficient number of the most common and always investigated symptoms and syndromes that do not require a high qualification of medical staff and high-tech instrumental methods of a research. On the basis of a study of 106 case histories of trichinellosis patients a mathematical discriminant model was offered, based on some early clinical and laboratory signs (body temperature, presence of a swollen face, pain when moving a tongue, eosinophilia and signs of myocarditis development), which has a sufficiently high information capacity (86,8%) and is statistically significant (p<0,001) for predicting severity of trichinosis.
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