Modeling Malaria Cases Associated with Environmental Risk Factors in Ethiopia Using Geographically Weighted Regression
MODELING MALARIA CASES ASSOCIATED WITH ENVIRONMENTAL RISK FACTORS IN ETHIOPIA USING GEOGRAPHICALLY WEIGHTED REGRESSION Berhanu Berga Dadi i MODELING MALARIA CASES ASSOCIATED WITH ENVIRONMENTAL RISK FACTORS IN ETHIOPIA USING THE GEOGRAPHICALLY WEIGHTED REGRESSION MODEL, 2015-2016 Dissertation supervised by Dr.Jorge Mateu Mahiques,PhD Professor, Department of Mathematics University of Jaume I Castellon, Spain Ana Cristina Costa, PhD Professor, Nova Information Management School University of Nova Lisbon, Portugal Pablo Juan Verdoy, PhD Professor, Department of Mathematics University of Jaume I Castellon, Spain March 2020 ii DECLARATION OF ORIGINALITY I declare that the work described in this document is my own and not from someone else. All the assistance I have received from other people is duly acknowledged, and all the sources (published or not published) referenced. This work has not been previously evaluated or submitted to the University of Jaume I Castellon, Spain, or elsewhere. Castellon, 30th Feburaury 2020 Berhanu Berga Dadi iii Acknowledgments Before and above anything, I want to thank our Lord Jesus Christ, Son of GOD, for his blessing and protection to all of us to live. I want to thank also all consortium of Erasmus Mundus Master's program in Geospatial Technologies for their financial and material support during all period of my study. Grateful acknowledgment expressed to Supervisors: Prof.Dr.Jorge Mateu Mahiques, Universitat Jaume I(UJI), Prof.Dr.Ana Cristina Costa, Universidade NOVA de Lisboa, and Prof.Dr.Pablo Juan Verdoy, Universitat Jaume I(UJI) for their immense support, outstanding guidance, encouragement and helpful comments throughout my thesis work. Finally, but not least, I would like to thank my lovely wife, Workababa Bekele, and beloved daughter Loise Berhanu and son Nethan Berhanu for their patience, inspiration, and understanding during the entire period of my study.
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