نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه برنامه ریزی شهری و روستایی ، دانشکده علوم اجتماعی ، دانشگاه محقق اردبیلی ، اردبیل، ایـران
2 گروه آموزش بهداشت و ارتقا سلامت، دانشکده بهداشت، دانشگاه علوم پزشکی و خدمات بهداشتی درمانی، قم، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Aim: The aim of this research is spatial analysis of the covid-19 virus based on demographic and geographic indicators in dry areas (in Qom metropolis).
Material & Method: The data of this research was obtained through the available data of Qom University of Medical Sciences during the years 2018-1400. This information is based on the location of each person in the GIS software environment, and the methods of nearest neighbor index (NNI), global Moran's test and general G statistic were used to measure spatial autocorrelation statistics.
Findings: The results of this research showed that the spread and epidemic of covid-19 in some localities of dry areas (Shahreqom) have more acute conditions than other localities.
Conclusion: Based on the findings of the research, it can be said that the distribution pattern of this disease in the neighborhoods of Qom city is clustered and cluster type with high intensity. This relationship is stronger and with the highest frequency in the localities of Bajak Ik, Khakfaraj, Nirogah and Shahrpardisan, and in the localities of Hozovi and University and Fatemieh towns as the watery localities with the lowest frequency in terms of demographic and geographical indicators.
Innovation: Among the most important innovative and practical aspects of research, we can mention the use of GIS in the distribution and spread of Covid-19 in different urban areas of dry regions. In fact, among the applications of this research, it is possible to mention the field of behavior and spatiotemporal function of viruses similar to the type of Covid-19 virus, which provides a coherent intellectual framework in controlling and preventing its epidemic.
کلیدواژه‌ها [English]
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