Modeling the role of geographic factors in the distribution of gastrointestinal cancer in Lorestan province

Cancer is one of the most common causes of death worldwide. Always the role of natural and geographical factors in the manner and manner of distribution and its effects on disease centers and the role of natural processes in fundamental changes and humans as well as human-related diseases, even in places where these effects are clearly evident in the death or destruction of habitats and humans themselves; It has a pale appearance.

This research is based on field studies in terms of the nature of the applied goal and in terms of the descriptive-analytical research method. The statistical population of this research includes all patients with gastrointestinal cancer who were diagnosed between 2014-2017 and were registered in the Sima Cancer System (Electronic Management Integration System) and were permanently residing in Lorestan province. In order to achieve the objectives of the research, indicators related to the role of geographical factors in the spread of digestive tract cancer were extracted (average annual rainfall, vegetation cover, average annual temperature, average sunny hours, and climatic zones).In order to investigate the role of geographic factors in the classification and distribution of these indicators, one-sample t-tests, Pearson's correlation, and Friedman's test were used. In the following, ArcGIS software was used to explain the model through geographic weighted regression of use and the level and status of these effects.

 The results showed that the most important factor influencing the variable of cancer distribution was the vegetation component with a coefficient of 0.91%, which explains the influence situation well. Also, the results of the effect of geographical factors were such that Khorramabad and Borujerd cities had the highest effect, Kouhdasht, Delfan, Aliguderz, and Durood cities had a moderate effect, and Selah, Poldekhtar, and Azna cities had the least effect from geographical factors.