Analysis of Health competitiveness indicators in the provinces of Iran country with use MABAC technique

Due to the increasing importance of human health and their equitable and proportionate access to health indicators, measuring health competitiveness at the national level can identify the levels of provinces, especially in the context of epidemics and health crises are very effective in rapidly allocating deficits to the provinces and planning for their future development.

this study uses descriptive-analytical methods and applied targeting; examine 31 provinces of the country in terms of health competitiveness indicators. (36) Indicators in the form of two main components (work force and infrastructure) have been collected using data from the Statistics Center of Iran in 2019. Generalized Shannon entropy models, MABAC analysis and Moran's Global spatial correlation (Moran's I), geographic weight regression in Arc GIS 10.3 software environment were used to analyze the data.

The results of this study show that in terms of health-competitiveness, Tehran province with regard to the centrality of the country and having large facilities and infrastructure with MABAC score (0.621) and a huge difference with other provinces in position First and Khorasan Razavi and Fars were in the second and third places with points (0.346) and (0.281). Moran's index in work force and institutional index is less than one, which is an indication of the dominant pattern of random distribution of indicators. In analyzing the effect of population on all health indicators, using geographical weight regression. Fars, Khorasan Razavi, Mazandaran and Khuzestan provinces most affected by population.