Prevention of Cardiovascular Diseases by Combining GIS with Fuzzy Best-Worst Decision-Making Algorithm in Areas of Tehran

The frequency of chronic diseases, such as cardiovascular diseases, has significantly soared in recent years; therefore, it is important to closely consider a number of factors, especially environmental factors, which contribute highly to the development of cardiovascular diseases. A long-term trend that has been adopted in several developed and developing countries to reduce the incidence of such diseases for patients is formulated in the form of health tourism. This study is a developmental research, which is categorized as descriptive-survey in terms of data collection method. The aim of this study is to prioritize 22 districts of Tehran for the purpose of preventing cardiovascular diseases. In the present study, after the extraction of the effective factors in the prevalence of cardiovascular diseases from previous studies, the weight of each factor with their specific data for each of 22 districts of Tehran (collected from relevant organizations) is obtained using two levels of Fuzzy Delphi method and one level of fuzzy best-worst method for confirming or denying factors and weighting them based on the opinion of 25 cardiologists, respectively. These date are transferred to Arc GIS software forprioritizing 22 districts of Tehran. The application of a combination of fuzzy best-worst method, which is one of the newest methods for making a multi-criteria decision, and GIS, for weighting parameters and prioritizing 22 districts of Tehran, gives an acceptable value to the present study. Obtained results after classification, drawing, and combination of maps indicated that the 8th district (except a small part in the west) is the best district, and the 16th and 19th districts (approximately the whole district) are in the last priority for the prevention of cardiovascular diseases. Other districts are respectively placed in the second to 21th places

Keywords:

Prevention , Cardiovascular diseases , GIS , Fuzzy decision-making algorithm , Tehran