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-  2017 

Identification of High and Low-Risk Areas of Tuberculosis in Lorestan Province, West of Iran

Keywords: Tuberculosis, Spatial pattern, Relative Risks, Lorestan province, Multilevel modeling

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Abstract:

Nowadays, tuberculosis (TB)–an infectious disease caused by Mycobacterium tuberculosis–presents with different location patterns. Spatial analysis is one of the most important tools to detect and monitor public health disease patterns. This study aimed to identify the low and high-risk areas in Lorestan Province (west of Iran) to help the health programmer for the best intervention

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