MULTIPARAMETRIC ASSESSMENT OF POPULATION HEALTH IN KYZYLORDA REGION BASED ON AN INTEGRAL INDICATOR
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Abstract
The subject of the research is the assessment of the health of the population of the Kyzylorda region in the context of administrative districts using the integral indicator as a function. The aim of the study is to develop an algorithm for assessing the integral indicator of population health and the weighting coefficient by types of disease. The study used methods of system and comparative analysis, methods of mathematical and simulation modeling. The following results were obtained: an algorithm for assessing the integral indicator of population health and the weighting coefficient by types of disease were developed; testing of the proposed theoretical ideas was carried out using long-term official statistical data on health care of the Kyzylorda region for 2000-2022; the results obtained showed that there were no administrative districts with favorable integral indicators of population health in the Kyzylorda region during the study period. The developed algorithm and model for the integrated assessment of population health, applied in the monitoring mode, allow for understanding the regional characteristics of public health in the Kyzylorda region. The advantages of the method are the use of standard statistical parameters, the relative simplicity of obtaining results and their interpretation, as well as the possibility of adjustment depending on the objectives of the analysis.
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