| SPATIO-STATISTICAL MODELING OF HUMAN BRUCELLOSIS USING ENVIRONMENTAL PARAMETERS: A CASE STUDY OF NORTHERN IRAN |
| Paper ID : 1332-SMPR |
| Authors: |
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Nadia Seyedalizadeh *1, ali asghar alesheikh2, Mohsen Ahmadkhani3 1Graduate student, Department of Geospatial Information System (GIS), K. N. Toosi University of Technology, Tehran, Iran 2khaje nasir university 3Ph. D. Condidate, Department of Geography, Environmental and Society, University of Minnesota, USA. |
| Abstract: |
| Brucellosis is one of the most important zoonotic and endemic diseases in Iran. This disease is a hazard to citizens’ health and has many economic problems, therefore requires control and management. The purpose of this study is to identify areas that are at the highest risk of brucellosis, as well as to discover the environmental factors that affect this risk. Maximum entropy (MaxEnt) method was used to model the probability of brucellosis in Golestan, Mazandaran and Gilan provinces. The effect of 12 environmental parameters on this disease was also measured using the Jackknife method. The results showed that the highest risk of brucellosis is located in southern Golestan, East and West of Mazandaran and south of Gilan province, and moisture, slope, vegetation and elevation are the most effective environmental factors on the spatial distribution of the disease. From the findings of this research, it can be concluded that the probability of the disease in northern Iran increases from west to east. This information can be used by public health managers and decision-makers. |
| Keywords: |
| Spatial-statistical modeling, Health GIS, Maximum Entropy, Jackknife, Brucellosis, Environment |
| Status : Conditional Accept (Poster) |
