Spatial modeling of malaria incidence rates in Sistan and Baluchistan province, Islamic Republic of Iran.
OBJECTIVE
To identify the effect of environmental factors on malaria risk, and to visualize spatial map of malaria standard incidence rates in Sistan and Baluchistan province, Islamic Republic of Iran.


METHODS
In this cross-sectional study, the data from 42,162 registered new malaria cases from 21 March 2001 (Iranian new year) to 21 of March 2006 were studied. To describe the statistical association between environmental factors and malaria risk, a generalized linear mixed model approach was utilized. In addition, we used the second ordered stationary Kriging, and a variogram to determine the appropriate spatial correlation structure among the malaria standard incidence rates, and provide a proper malaria risk map in the area under study.


RESULTS
The obtained results from the spatial modeling revealed that humidity (p=0.0004), temperature (p<0.0001), and elevation (p<0.0001) were positively, and precipitation (p=0.0029) was inversely correlated with the malaria risk. Moreover, the malaria risk map based on the predicted values showed that the south part of this province (Baluchistan), has a higher risk of malaria, compared to the northern area (Sistan).


CONCLUSIONS
Since the effective environmental factors on malaria risk are out of human's control, the health policy makers in this province should pay more attention to the areas with high temperature, elevation, and humidity, as well as, low rainfall districts.
Salehi
Masoud
M
Department of Biostatistics and Epidemiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad
Kazem
K
Farahani
Mahmud M
MM
Zeraati
Hojjat
H
Nourijelyani
Keramat
K
Zayeri
Farid
F
D005260:Female; D006801:Humans; D015994:Incidence; D007492:Iran / Q000453:epidemiology; D016014:Linear Models; D008288:Malaria / Q000453:epidemiology*; D008297:Male; D014887:Weather