Investigation of Spatial Risk Factors for RVF Disease Occurrence Using Remote Sensing & GIS

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ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
E-mail: jgis@scirp.org

"Investigation of Spatial Risk Factors for RVF Disease Occurrence Using Remote Sensing & GIS—A Case Study: Sinnar State, Sudan"
written by Kowther Mohamed Saeed Ahmed, Amna Ahmed Hamid, Abbas Doka,
published by Journal of Geographic Information System, Vol.7 No.2, 2015

has been cited by the following article(s):

[1]	Spatial distribution of tree species composition and carbon stock in Tozi tropical dry forest, Sinnar State, Sudan
	Biodiversitas Journal of Biological Diversity, 2022

[2]	Spatio-temporal Distribution of Aedes Mosquitoes (Diptera: Culicidae), in Abumatarig Town, Bahr Elarab Locality, East Darfur State, Sudan (2017)
	2020

[3]	Risks and Challenges of Arboviral Diseases in Sudan: The Urgent Need for Actions
	2020

[4]	Assessment of past Rift Valley fever outbreak using Modeling, Risk analysis and decision tree in Sudan
	2020

[5]	Exploring tree diversity and stand structure of savanna woodlands in southeastern Sudan
	2020

[6]	Analysis of factors evident in the relation between railways and the incidence of dysentery using linear regression
	2019

[7]	Geospatial Analysis and Vector Control for RiftValley Fever in Saudi Arabia
	2017

[8]	Climate, trees and agricultural practices: Implications for food security in the semi-arid zone of Sudan
	2017

[1]	Modeling the effectiveness of targeting Rift Valley fever virus vaccination using imperfect network information Frontiers in Veterinary Science, 2023 DOI:10.3389/fvets.2023.1049633

[2]	Exploring tree diversity and stand structure of savanna woodlands in southeastern Sudan Journal of Arid Land, 2020 DOI:10.1007/s40333-020-0076-8

[3]	Analysis of factors evident in the relation between railways and the incidence of dysentery using linear regression Geomatics, Natural Hazards and Risk, 2019 DOI:10.1080/19475705.2018.1548382

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