title: Spatial outline of malaria transmission in Iran.
abstract: 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
  99.65% 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.
  
  
  CONCLUSIONS
  According to ecological condition and mentioned cut-off points, predictive map was generated using cokriging method.
authors.affiliation: Department of Medical Parasitology and Mycology, Tehran University of Medical Sciences, Bandar Abbas, Iran.
authors.forename: Mohammad
authors.initials: M
authors.lastname: Barati
authors.forename: Hossein
authors.initials: H
authors.lastname: Keshavarz-valian
authors.forename: Majid
authors.initials: M
authors.lastname: Habibi-nokhandan
authors.forename: Ahmad
authors.initials: A
authors.lastname: Raeisi
authors.forename: Leyla
authors.initials: L
authors.lastname: Faraji
authors.forename: Abdoreza
authors.initials: A
authors.lastname: Salahi-moghaddam
mesh_terms: D000531:Altitude; D002980:Climate; D004196:Disease Outbreaks / Q000517:prevention & control / Q000706:statistics & numerical data*; D004463:Ecology; D006801:Humans; D006813:Humidity; D015994:Incidence; D007492:Iran / Q000453:epidemiology; D016013:Likelihood Functions; D016014:Linear Models; D008288:Malaria / Q000453:epidemiology* / Q000517:prevention & control / Q000635:transmission*; D015233:Models, Statistical; D011891:Rain; D062206:Spatial Analysis