| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 3456377 | Asian Pacific Journal of Tropical Medicine | 2012 | 7 Pages |
ObjectiveTo conduct for modeling spatial distribution of malaria transmission in Iran.MethodsRecords 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.Results99.65% of malaria transmission cases were focused in southeast part of Iran. These transmissions had statistically correlation with altitude (650 m), maximum (30 °C), minimum (20 °C) and average temperature (25.3 °C). Statistical correlation and overall relationship between NDVI (118.81), relative humidity (⩾45%) and rainfall in southeast area was defined and explained in this study.ConclusionsAccording to ecological condition and mentioned cut-off points, predictive map was generated using cokriging method.
