ASSESSMENT OF DYNAMICS OF MORBIDITY INTENSIVE INDICATORS USING ANALYTICAL PROPERTIES OF RECURSIVE SEQUENCES
The purpose of this study is to assess efficacy of using Fibonacci sequences to model dynamics of actual processes, particularly, to analyze dynamics of cancer morbidity in Volozhin and Stolbtsy districts of Minsk Region over 1953-2003. The analysis of the models described does not allow for unambiguous interpretation of the modeling results. Nevertheless, a clear relationship between changing process trends and structure of the time zones calculated using Fibonacci sequences is shown. It is noted that following using an analysis method with Fibonacci sequence characteristics, extra information which can be used for both revealing probable reasons influencing the process and forecasting its development was obtained.