Risk mapping of malaria in Iran from 2009 to 2018: A GIS-Based survey

Fatemeh Parandin; Negar Bizhani; Fariba Feizi; Eissa Soleymani; Azadeh Mizani; Seyed Mousa Motavallihaghi; Sara Payami; Mohammad Zeinali; Bahman Rahimi Esboei

doi:10.53730/ijhs.v6nS7.13665

Authors

Fatemeh Parandin Fatemeh Parandin:Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
Negar Bizhani Department of Medical Parasitology and Mycology,School of Public Health and Institute of Public Research,Tehran University of Medicak Scienses
Fariba Feizi Fariba Feizi: Phd Student, Department of Medical Parasitology and Mycology, School of Medical Sciences, Hamadan University of Medical Sciences,Hamadan, Iran
Eissa Soleymani Phd Student, Department of Medical Parasitology and Mycology, School of Medical Sciences, Hamadan University of Medical Sciences,Hamadan, Iran
Azadeh Mizani Azadeh Mizani.Department of Parasitology, Pasteur Institute of Iran, Tehran, Iran
Seyed Mousa Motavallihaghi Seyed mousa Motavallihaghi ,Department of Medical Parasitology and Mycology, School of Medical Sciences, Hamadan University of Medical Sciences,Hamadan, Iran
Sara Payami Department of Emergency Medicine, Ziaeian Hospital, Tehran University of Medical Sciences,Tehran,Iran
Mohammad Zeinali Professor Assistant of Medical Parasitology in Ministry of Health and Senior Expert Diseases Control , Center of Communicable Diseases Control
Bahman Rahimi Esboei
B_rahimi@razi.tums.ac.ir
Bahman Rahimi Esboei, Department of Parasitology and Mycology, School of Medical Sciences, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran

Keywords:

Malaria, Incidence, Environmental variables, Geographical information system, Iran

Abstract

Background: Since the issues of public health and the spread of diseases are directly related to the region's geography. We aim to determine malaria incidence, spatial distribution, and hot spots in Iran using the GIS for a decade from 2009 to 2018. Methods: GIS was used to analyze the information acquired from the Ministry of Health and Medical Education in Tehran, Iran, and other associated centers between 2009 and 2018. Subsequently, maps of the disease's spatial distribution were constructed and using ArcGIS 10.5 software, the disease's hotspots in Iran were determined. The disease's variables, such as temperature, relative humidity, normalized difference vegetation index (NDVI), and malaria incidence, were correlated using geographically weighted regression (GWR) analysis in ArcGIS 10.5. Using descriptive statistics and the chi-square test, data were analyzed using Linear Regression Analysis and SPSS 21 software using descriptive statistics. Sistan and Baluchistan, and the Bushehr provinces were hot spots for Malaria. The geographically weighted regression analysis results showed that in Sistan and Baluchistan and Bushehr, Hormozgan, Fars, Qom, Yazd, Kohgiluyeh and Boyer-Ahmad provinces, the highest correlation between temperature, humidity, vegetation density, and the incidence of Malaria was observed (p-value = 0.019).

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