نوع مقاله : مقاله مروری
نویسندگان
گروه جغرافیا و یرنامه ریزی شهری، دانشگاه محقق اردبیلی، اردبیل، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
This research, with a systematic review of the researches carried out regarding the spatial analysis of respiratory diseases in Iran, with the aim of analyzing how spatial or spatio-temporal investigations of respiratory diseases in the country and by identifying the techniques, findings, limitations and Their achievements are related to the weaknesses and gaps of these researches as a guide for future researches. The method of conducting the research is the scoping review method. By implementing the screening method with the help of experts, internal scientific-research articles in SID databases, Humanities Research Institute and Cultural Studies and other databases from 2011 to 2023, in total, 17 final articles obtained the criteria for entering the research. They were organized and analyzed in three main topics, which include: disease risk analysis (number 13), disease modeling (number 9) and disease mapping (number 12). The findings show that 17.6% of the articles have a very high spatial analysis complexity level, 76.48% of the articles have a high spatial analysis complexity level, and 5.9% of the articles have a weak spatial analysis complexity level with descriptive research methods, most of the studies are based on disease mapping at the initial level of analysis, Space like thermal maps and... have been discussed. None of the studies have addressed the spatial analysis of health promotion and recovered patients in the geographical scope of the study as a research gap, and they often pay attention to the current state of the disease. In the use of Bayesian methods in the measurement of bias, the results of spatial analysis were not observed in previous studies. Spatial autocorrelation method is rarely used due to the contagious nature of most respiratory diseases and the need to investigate the effect of factors. New methods and approaches for modeling and predicting the spread of diseases have been used less. The classification of the effective factors in the prevalence and spread of respiratory diseases at the range level, their randomization, and considering the limitations of access to data sources regarding the variables have been given less attention in studies.
کلیدواژهها [English]
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