【摘 要】
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Objective: To conduct for modeling spatial distribution of malaria transmission in Iran. Methods: Records of all malaria cases from the period 2008-2010 in Iran
【机 构】
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Department of Medical Parasitology and Mycology, Tehran University of Medical Sciences TUMS, Iran;Cl
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Objective: To conduct for modeling spatial distribution of malaria transmission in Iran. Methods: Records of all malaria cases from the period 2008-2010 in Iran were retrieved for malaria control department, MOH&ME. Metrological data including annual rainfall, maximum and minimum temperature, relative humidity, altitude, demographic, districts border shapefiles, and NDVI images received from Iranian Climatologic Research Center. Data arranged in ArcGIS. Results:Results: 99.65%of malaria transmission cases were focused in southeast part of Iran. These transmissions had statistically correlation with altitude (650 m), maximum (30℃), minimum (20℃) and average temperature (25.3℃). Statistical correlation and overall relationship between NDVI (118.81), relative humidity (≥45%) and rainfall in southeast area was defined and explained in this study. Conclusions: According to ecological condition and mentioned cut-off points, predictive map was generated using cokriging method.
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