Iranian Journal of Remote Sensing & GIS

Modeling the spatial distribution of Dengue fever disease in Iran using Maxent entropy model and Genetic Algorithm

Mohammad Karimi; Sajjad Haghi; Ahmad ali Hanafi Bojd

Articles in Press, Accepted Manuscript, Available Online from 07 March 2023

https://doi.org/10.48308/gisj.2023.103268

Abstract

Dengue fever is Chickenpox is a contagious and viral disease that is transmitted by two species of Aedes Egyptian mosquitoes and Aedes albopicus mosquitoes and is spreading rapidly in the world. The main purpose of this study is to model the spatial distribution of carriers of this disease in Iran. Due ... Read More Dengue fever is Chickenpox is a contagious and viral disease that is transmitted by two species of Aedes Egyptian mosquitoes and Aedes albopicus mosquitoes and is spreading rapidly in the world. The main purpose of this study is to model the spatial distribution of carriers of this disease in Iran. Due to the lack of sufficient carrier data in the country, carrier data available worldwide and also in Asia, in two different scales were used. Among the most important aspects of this research, we can name the use of heterogeneous layer as an auxiliary factor to analyze the presence points and reduce spatial autocorrelation and the use and comparison of two species distribution models based on presence data for Selecting the optimal modeling method. In this regard, first, using the maximum entropy method (MaxEnt) and a type of genetic algorithm called GARP (GARP), the level of habitat suitability in the world with a spatial resolution of 5 km for both species was modeled. To evaluate the mentioned models, the variables of population density, climate, vegetation density, altitude and soil organic carbon were considered. Due to the high accuracy of the MaxEnt method, using this method, the habitat suitability of the Asian continent with a resolution of 900 m was modeled for both species. The values under the curve (AUC) for the two types of carriers were calculated to be 0.9. The results showed that the northern and southern provinces of the country have higher habitat suitability for both species, with the difference that Aedes aegypti species in the southern to eastern parts of the Oman Sea coast has a higher probability of distribution. In implementing the MaxEnt method for Aedes albopicus, the provinces in western Iran were also identified as desirable, which was not properly modeled on a smaller scale. In February 2016, unfortunately, a small number of mosquitoes and AIDS mosquito eggs were discovered in Bandar Lengeh, which was exactly what this research had predicted. The results of this study can be used in line with planning for population management of these vector insects to control the disease at the same time as monitoring populations during epidemic seasons.

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Due to the rapid population growth and urban development which results in limited arable land, land evaluation for selecting optimum utilization of land and increase in production per unit area as well as purposeful decisions in allocation of agricultural

Volume 6, Issue 1 , April 2014

Abstract

Due to the rapid population growth and urban development which results in limited arable land, land evaluation for selecting optimum utilization of land and increase in production per unit area as well as purposeful decisions in allocation of agricultural land to the best land use type is very important. ... Read More

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Author = Karimi, Mohammad

Modeling the spatial distribution of Dengue fever disease in Iran using Maxent entropy model and Genetic Algorithm

Abstract

Due to the rapid population growth and urban development which results in limited arable land, land evaluation for selecting optimum utilization of land and increase in production per unit area as well as purposeful decisions in allocation of agricultural

Abstract